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Information Technology Senior Management Forum

<div><div>Posted Date
4/13/2026
</div><div>Description
<div>Overview of the Role:
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.
As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients&rsquo; best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations &amp; Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.
Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We&rsquo;ll enable growth and progress together.
The GenAI Solutions Architect/Lead Engineer is a senior level position responsible for establishing and implementing new or revised GenAI application systems and programs in coordination with the Technology team. The overall objective of this role is to be highly hands-on with a capacity to manage the team for applications systems analysis and programming activities.
We are seeking a highly skilled and motivated GenAI Solutions Architect/Lead Engineer to join our dynamic team supporting Finance. This role will focus on developing and implementing cutting-edge AI/ML solutions, including Generative AI, for various financial applications. The ideal candidate will possess a strong understanding of machine learning algorithms, statistical modeling techniques, and experience working with large datasets. Proven real-world experience implementing GenAI solutions, particularly those involving Large Language Models (LLMs), Retrieval Augmented Generation (RAG) implementations, and chatbot development for both structured and unstructured data, is essential. Experience with Citi applications and systems is highly desired. This role offers the potential for growth into a leadership position.
Responsibilities:<ul><li>
Highly Hands-on GenAI Development: Actively design, develop, and implement complex AI/ML models and algorithms, with a strong focus on Generative AI techniques (e.g., LLMs, GANs, VAEs) for financial applications. This includes hands-on coding, prototyping, and deploying GenAI solutions.</li><li>
RAG Implementation Expertise: Lead the design and implementation of Retrieval Augmented Generation (RAG) systems to enhance the accuracy and contextuality of GenAI outputs, particularly in handling financial data and domain-specific queries.</li><li>
Chatbot Development (Structured &amp; Unstructured Data): Design, develop, and deploy intelligent chatbot solutions capable of interacting with users across both structured data sources (e.g., databases, APIs) and unstructured data (e.g., documents, emails, free text). This includes leveraging GenAI for natural language understanding and generation in complex conversational flows.</li><li>
Document Processing &amp; OCR Integration: Implement solutions for processing and extracting information from documents, including integrating Optical Character Recognition (OCR) technologies to handle scanned documents and images, making their content available for GenAI models.</li><li>
Dynamic SQL Generation using LLM: Develop and deploy solutions leveraging Large Language Models to dynamically generate SQL queries from natural language requests, facilitating data access and analysis from structured databases.</li><li>
Python Development &amp; Ecosystem Mastery: Utilize advanced Python programming skills to build, optimize, and deploy GenAI solutions. This includes extensive experience with relevant Python packages (e.g., PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, scikit-learn, pandas, numpy, FastAPI).</li><li>
Large Language Model (LLM) Application: Deep practical experience with various LLM architectures, fine-tuning, prompt engineering, and their application to solve complex financial challenges like natural language understanding, text generation, summarization, and question answering.</li><li>
Data Analysis &amp; Feature Engineering: Analyze large, complex datasets, identify intricate patterns, and extract actionable insights, leveraging GenAI capabilities where appropriate for data augmentation or synthetic data generation.</li><li>
Data Pipeline Development: Build and maintain robust, scalable data pipelines for data ingestion, processing, and transformation, specifically optimizing for the unique requirements of GenAI model training and inference.</li><li>
Cross-Functional Collaboration: Partner with multiple management teams and business stakeholders to understand requirements, translate them into technical solutions, and incorporate GenAI possibilities into the discussion, ensuring appropriate integration of functions to meet goals.</li><li>
System Enhancements &amp; Architecture: Identify and define necessary system enhancements to deploy new GenAI products and process improvements. Ensure application design adheres to the overall architecture blueprint, integrating GenAI components seamlessly.</li><li>
Problem Resolution: Resolve a variety of high-impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards, applying GenAI where it can offer innovative solutions.</li><li>
Tool &amp; Technology Evaluation: Evaluate and select appropriate AI/ML tools and technologies, including specialized GenAI frameworks, libraries, and cloud AI services (e.g., AWS SageMaker, Azure ML, Google AI Platform).</li><li>
Documentation &amp; Monitoring: Develop and maintain comprehensive documentation for AI/ML models and systems, specifically addressing GenAI implementations. Manage and monitor the performance, efficiency, and reliability of deployed AI/ML models, including evaluating the effectiveness of GenAI components in production.</li><li>
Mentorship &amp; Leadership: Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary and fostering a culture of innovation and continuous learning in GenAI.</li><li>
Risk Assessment: Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, especially concerning responsible AI and GenAI ethics.</li></ul>
Qualifications:<ul><li>
Experience: 6+ years of relevant experience in Apps Development or systems analysis role, with a significant portion dedicated to AI/ML and demonstrable hands-on experience in designing, building, and deploying real-world Generative AI solutions.
</li><li>Technical Proficiency:<ul><li>
Extensive experience in system analysis and in programming of software applications, with deep expertise in Python for AI/ML development.</li><li>
Proven mastery of Large Language Models (LLMs), including experience with various open-source and proprietary models, fine-tuning techniques, and deployment strategies.</li><li>
Hands-on experience with Retrieval Augmented Generation (RAG) implementations, including vector databases (e.g., Pinecone, FAISS, ChromaDB), embedding models, and efficient retrieval mechanisms.</li><li>
Strong experience in chatbot development, particularly in building conversational AI systems that interact with both structured and unstructured data sources.</li><li>
Experience with document processing, information extraction, and OCR technologies for integrating unstructured data into GenAI workflows.</li><li>
Proficiency in leveraging LLMs for dynamic SQL generation and natural language to code tasks.</li><li>
Proficiency with key Python AI/ML libraries and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, scikit-learn, pandas, and numpy.</li><li>
Experience with MLOps practices, version control (Git), and collaborative development environments.</li></ul></li><li>
Project Management: Experience in managing and implementing successful projects; demonstrated leadership and project management skills within an agile development framework.</li><li>
Subject Matter Expertise: Subject Matter Expert (SME) in at least one area of Applications Development or AI/ML domain, with a strong understanding of financial services concepts preferred.</li><li>
Adaptability: Ability to adjust priorities quickly as circumstances dictate in a fast-paced environment.</li><li>
Communication: Consistently demonstrates clear and concise written and verbal communication, capable of articulating complex technical concepts to both technical and non-technical stakeholders.</li></ul>
Education:<ul><li>
Bachelor&rsquo;s degree/University degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent experience.</li><li>
Master&rsquo;s degree or Ph.D. prefer</li></ul>
-
Job Family Group:
Technology
-
Job Family:
Digital Software Engineering
-
Time Type:
Full time
-
Primary Location:
Jersey City New Jersey United States
-
Primary Location Full Time Salary Range:
$157 040,00 - $235 560,00 
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
-
Most Relevant Skills
Please see the requirements listed above.
-
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
-
Anticipated Posting Close Date:
abr 17, 2026
-
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. 
 
View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>
</div><div>Salary
157.00 Hour
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

GenAI Solutions Architect Lead Engineer Vice President

Citi

<div><div><div>Job Req Id:</div>
<div>26953775</div>
</div><div><div>Location(s):</div>
<div>Jersey City, New Jersey, United States</div>
</div><div><div>Job Type:</div>
<div>Hybrid</div>
</div><div><div>Posted:</div>
<div>Apr. 10, 2026</div></div></div>
 <div><h2 class="jobSectionHeader">Discover your future at Citi</h2>
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.
<h2 class="jobSectionHeader">Job Overview</h2>
Overview of the Role:
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.
As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients&rsquo; best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations &amp; Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.
Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We&rsquo;ll enable growth and progress together.
The GenAI Solutions Architect/Lead Engineer is a senior level position responsible for establishing and implementing new or revised GenAI application systems and programs in coordination with the Technology team. The overall objective of this role is to be highly hands-on with a capacity to manage the team for applications systems analysis and programming activities.
We are seeking a highly skilled and motivated GenAI Solutions Architect/Lead Engineer to join our dynamic team supporting Finance. This role will focus on developing and implementing cutting-edge AI/ML solutions, including Generative AI, for various financial applications. The ideal candidate will possess a strong understanding of machine learning algorithms, statistical modeling techniques, and experience working with large datasets. Proven real-world experience implementing GenAI solutions, particularly those involving Large Language Models (LLMs), Retrieval Augmented Generation (RAG) implementations, and chatbot development for both structured and unstructured data, is essential. Experience with Citi applications and systems is highly desired. This role offers the potential for growth into a leadership position.
Responsibilities:<ul><li>
Highly Hands-on GenAI Development: Actively design, develop, and implement complex AI/ML models and algorithms, with a strong focus on Generative AI techniques (e.g., LLMs, GANs, VAEs) for financial applications. This includes hands-on coding, prototyping, and deploying GenAI solutions.</li><li>
RAG Implementation Expertise: Lead the design and implementation of Retrieval Augmented Generation (RAG) systems to enhance the accuracy and contextuality of GenAI outputs, particularly in handling financial data and domain-specific queries.</li><li>
Chatbot Development (Structured &amp; Unstructured Data): Design, develop, and deploy intelligent chatbot solutions capable of interacting with users across both structured data sources (e.g., databases, APIs) and unstructured data (e.g., documents, emails, free text). This includes leveraging GenAI for natural language understanding and generation in complex conversational flows.</li><li>
Document Processing &amp; OCR Integration: Implement solutions for processing and extracting information from documents, including integrating Optical Character Recognition (OCR) technologies to handle scanned documents and images, making their content available for GenAI models.</li><li>
Dynamic SQL Generation using LLM: Develop and deploy solutions leveraging Large Language Models to dynamically generate SQL queries from natural language requests, facilitating data access and analysis from structured databases.</li><li>
Python Development &amp; Ecosystem Mastery: Utilize advanced Python programming skills to build, optimize, and deploy GenAI solutions. This includes extensive experience with relevant Python packages (e.g., PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, scikit-learn, pandas, numpy, FastAPI).</li><li>
Large Language Model (LLM) Application: Deep practical experience with various LLM architectures, fine-tuning, prompt engineering, and their application to solve complex financial challenges like natural language understanding, text generation, summarization, and question answering.</li><li>
Data Analysis &amp; Feature Engineering: Analyze large, complex datasets, identify intricate patterns, and extract actionable insights, leveraging GenAI capabilities where appropriate for data augmentation or synthetic data generation.</li><li>
Data Pipeline Development: Build and maintain robust, scalable data pipelines for data ingestion, processing, and transformation, specifically optimizing for the unique requirements of GenAI model training and inference.</li><li>
Cross-Functional Collaboration: Partner with multiple management teams and business stakeholders to understand requirements, translate them into technical solutions, and incorporate GenAI possibilities into the discussion, ensuring appropriate integration of functions to meet goals.</li><li>
System Enhancements &amp; Architecture: Identify and define necessary system enhancements to deploy new GenAI products and process improvements. Ensure application design adheres to the overall architecture blueprint, integrating GenAI components seamlessly.</li><li>
Problem Resolution: Resolve a variety of high-impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards, applying GenAI where it can offer innovative solutions.</li><li>
Tool &amp; Technology Evaluation: Evaluate and select appropriate AI/ML tools and technologies, including specialized GenAI frameworks, libraries, and cloud AI services (e.g., AWS SageMaker, Azure ML, Google AI Platform).</li><li>
Documentation &amp; Monitoring: Develop and maintain comprehensive documentation for AI/ML models and systems, specifically addressing GenAI implementations. Manage and monitor the performance, efficiency, and reliability of deployed AI/ML models, including evaluating the effectiveness of GenAI components in production.</li><li>
Mentorship &amp; Leadership: Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary and fostering a culture of innovation and continuous learning in GenAI.</li><li>
Risk Assessment: Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, especially concerning responsible AI and GenAI ethics.</li></ul>
Qualifications:<ul><li>
Experience: 6+ years of relevant experience in Apps Development or systems analysis role, with a significant portion dedicated to AI/ML and demonstrable hands-on experience in designing, building, and deploying real-world Generative AI solutions.
</li><li>Technical Proficiency:<ul><li>
Extensive experience in system analysis and in programming of software applications, with deep expertise in Python for AI/ML development.</li><li>
Proven mastery of Large Language Models (LLMs), including experience with various open-source and proprietary models, fine-tuning techniques, and deployment strategies.</li><li>
Hands-on experience with Retrieval Augmented Generation (RAG) implementations, including vector databases (e.g., Pinecone, FAISS, ChromaDB), embedding models, and efficient retrieval mechanisms.</li><li>
Strong experience in chatbot development, particularly in building conversational AI systems that interact with both structured and unstructured data sources.</li><li>
Experience with document processing, information extraction, and OCR technologies for integrating unstructured data into GenAI workflows.</li><li>
Proficiency in leveraging LLMs for dynamic SQL generation and natural language to code tasks.</li><li>
Proficiency with key Python AI/ML libraries and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, scikit-learn, pandas, and numpy.</li><li>
Experience with MLOps practices, version control (Git), and collaborative development environments.</li></ul></li><li>
Project Management: Experience in managing and implementing successful projects; demonstrated leadership and project management skills within an agile development framework.</li><li>
Subject Matter Expertise: Subject Matter Expert (SME) in at least one area of Applications Development or AI/ML domain, with a strong understanding of financial services concepts preferred.</li><li>
Adaptability: Ability to adjust priorities quickly as circumstances dictate in a fast-paced environment.</li><li>
Communication: Consistently demonstrates clear and concise written and verbal communication, capable of articulating complex technical concepts to both technical and non-technical stakeholders.</li></ul>
Education:<ul><li>
Bachelor&rsquo;s degree/University degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent experience.</li><li>
Master&rsquo;s degree or Ph.D. prefer</li></ul>
-
Job Family Group:
Technology
-
Job Family:
Digital Software Engineering
-
Time Type:
Full time
-
Primary Location:
Jersey City New Jersey United States
-
Primary Location Full Time Salary Range:
$157 040,00 - $235 560,00 
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
-
Most Relevant Skills
Please see the requirements listed above.
-
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
-
Anticipated Posting Close Date:
abr 17, 2026
-
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. 
 
View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>

<div><div>Posted Date
4/15/2026
</div><div>Description
<div>Senior data engineering role delivering large-scale data integration solutions across CRM ecosystems using ETL tooling, Python automation, and advanced SQL/NoSQL capabilities.<h4 class="jobSectionHeader">
Position Summary:</h4>
The Vice President, Technology (Data Engineer) will lead the design and delivery of enterprise-grade data integration solutions supporting CRM and Analytics platforms. This role requires deep hands-on expertise in ETL/ELT engineering, Python scripting for automation and data loads, and exceptional proficiency across both relational (SQL) and non-relational (NoSQL) data technologies. The successful candidate will partner with architecture, application, and business teams to build reliable, secure, and scalable pipelines that enable analytics, operational reporting, and downstream system integration.<h4 class="jobSectionHeader">
Key Responsibilities:</h4><ul><li>
Data integration delivery: Design, build, and operate robust batch and near-real-time integration pipelines for CRM data domains (e.g., customers, products, orders, invoices, service interactions).</li><li>
ETL/ELT engineering: Develop and optimize workflows using enterprise ETL tools; establish reusable patterns for ingestion, transformation, and publish layers.</li><li>
Python engineering: Build Python-based utilities and frameworks for data loads, automation, validation, reconciliation, and operational tooling.</li><li>
SQL excellence: Write and tune complex SQL (query optimization, indexing strategy awareness, incremental loads, CDC patterns, and performance troubleshooting).</li><li>
NoSQL competence: Apply non-relational data modeling and query patterns where appropriate (document/columnar/key-value/graph), including performance and consistency considerations.</li><li>
Data quality and controls: Implement validation rules, error handling, auditability, and reconciliation controls; create monitoring/alerting to meet SLAs/SLOs.</li><li>
Architecture and design: Contribute to system architecture and integration design decisions (data contracts, schemas, idempotency, versioning, resiliency).</li><li>
Security and compliance: Ensure data pipelines follow security best practices (encryption, access control, secrets management) and align with retention and privacy requirements.</li><li>
Collaboration: Work closely with CRM application teams, enterprise architects, and analytics consumers to align on data definitions and delivery priorities.</li><li>
Operational ownership: Participate in release planning, production support, incident triage, and continuous improvement to enhance reliability and reduce run-time cost.</li></ul><h4 class="jobSectionHeader">
Required Qualifications:</h4><ul><li>
6-10 years of experience in data engineering, data integration, or platform engineering with a focus on large enterprise programs.</li><li>
Proven track record delivering data integration for ERP and/or CRM platforms in complex environments.</li><li>
Strong hands-on experience with one or more enterprise ETL/ELT tools (e.g., Informatica, DataStage, SSIS, Talend, Azure Data Factory, Matillion, dbt or similar).</li><li>
Advanced Python skills for data processing, automation, and scripting (packaging, logging, error handling, and testing discipline).</li><li>
Expert-level SQL skills, including performance tuning and data warehousing concepts (dimensional modeling awareness a plus).</li><li>
Working knowledge of NoSQL concepts and at least one NoSQL technology (implementation experience preferred).</li><li>
Strong understanding of data pipeline fundamentals: incremental loading, late-arriving data, schema evolution, and end-to-end observability.</li><li>
Ability to communicate clearly with both technical and non-technical stakeholders; strong documentation and design skills.</li></ul><h4 class="jobSectionHeader">
Preferred Qualifications:</h4><ul><li>
Experience with streaming/event-driven data integration (e.g., Kafka or similar) and CDC-based ingestion patterns.</li><li>
Experience with cloud data platforms and modern lakehouse/warehouse ecosystems.</li><li>
Knowledge of data governance practices (metadata, lineage, data quality frameworks).</li><li>
Experience implementing DevOps practices for data engineering (CI/CD for pipelines, infrastructure-as-code, automated testing).</li></ul><h4 class="jobSectionHeader">
Core Competencies:</h4><ul><li>
Engineering rigor: Writes maintainable, testable code and designs resilient systems.</li><li>
Problem solving: Diagnoses data issues quickly and drives root-cause resolution.</li><li>
Ownership mindset: Takes accountability for production outcomes and operational reliability.</li><li>
Partnership: Collaborates effectively across application, architecture, and business teams.</li></ul>
-
Job Family Group:
Technology
-
Job Family:
Applications Development
-
Time Type:
Full time
-
Primary Location:
Jersey City New Jersey United States
-
Primary Location Full Time Salary Range:
$142,320.00 - $213,480.00 
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
-
Most Relevant Skills
Please see the requirements listed above.
-
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
-
Anticipated Posting Close Date:
Jun 15, 2026
-
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. 
 
View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>
</div><div>Salary
142,320.00 - 213,480.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Data Engineer, Vice President

<div><div><div>Job Req Id:</div>
<div>26953080</div>
</div><div><div>Location(s):</div>
<div>Jersey City, New Jersey, United States</div>
</div><div><div>Job Type:</div>
<div>Hybrid</div>
</div><div><div>Posted:</div>
<div>Apr. 15, 2026</div></div></div>
 <div><h2 class="jobSectionHeader">Discover your future at Citi</h2>
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.
<h2 class="jobSectionHeader">Job Overview</h2>
Senior data engineering role delivering large-scale data integration solutions across CRM ecosystems using ETL tooling, Python automation, and advanced SQL/NoSQL capabilities.<h3 class="jobSectionHeader">
Position Summary:</h3>
The Vice President, Technology (Data Engineer) will lead the design and delivery of enterprise-grade data integration solutions supporting CRM and Analytics platforms. This role requires deep hands-on expertise in ETL/ELT engineering, Python scripting for automation and data loads, and exceptional proficiency across both relational (SQL) and non-relational (NoSQL) data technologies. The successful candidate will partner with architecture, application, and business teams to build reliable, secure, and scalable pipelines that enable analytics, operational reporting, and downstream system integration.<h3 class="jobSectionHeader">
Key Responsibilities:</h3><ul><li>
Data integration delivery: Design, build, and operate robust batch and near-real-time integration pipelines for CRM data domains (e.g., customers, products, orders, invoices, service interactions).</li><li>
ETL/ELT engineering: Develop and optimize workflows using enterprise ETL tools; establish reusable patterns for ingestion, transformation, and publish layers.</li><li>
Python engineering: Build Python-based utilities and frameworks for data loads, automation, validation, reconciliation, and operational tooling.</li><li>
SQL excellence: Write and tune complex SQL (query optimization, indexing strategy awareness, incremental loads, CDC patterns, and performance troubleshooting).</li><li>
NoSQL competence: Apply non-relational data modeling and query patterns where appropriate (document/columnar/key-value/graph), including performance and consistency considerations.</li><li>
Data quality and controls: Implement validation rules, error handling, auditability, and reconciliation controls; create monitoring/alerting to meet SLAs/SLOs.</li><li>
Architecture and design: Contribute to system architecture and integration design decisions (data contracts, schemas, idempotency, versioning, resiliency).</li><li>
Security and compliance: Ensure data pipelines follow security best practices (encryption, access control, secrets management) and align with retention and privacy requirements.</li><li>
Collaboration: Work closely with CRM application teams, enterprise architects, and analytics consumers to align on data definitions and delivery priorities.</li><li>
Operational ownership: Participate in release planning, production support, incident triage, and continuous improvement to enhance reliability and reduce run-time cost.</li></ul><h3 class="jobSectionHeader">
Required Qualifications:</h3><ul><li>
6-10 years of experience in data engineering, data integration, or platform engineering with a focus on large enterprise programs.</li><li>
Proven track record delivering data integration for ERP and/or CRM platforms in complex environments.</li><li>
Strong hands-on experience with one or more enterprise ETL/ELT tools (e.g., Informatica, DataStage, SSIS, Talend, Azure Data Factory, Matillion, dbt or similar).</li><li>
Advanced Python skills for data processing, automation, and scripting (packaging, logging, error handling, and testing discipline).</li><li>
Expert-level SQL skills, including performance tuning and data warehousing concepts (dimensional modeling awareness a plus).</li><li>
Working knowledge of NoSQL concepts and at least one NoSQL technology (implementation experience preferred).</li><li>
Strong understanding of data pipeline fundamentals: incremental loading, late-arriving data, schema evolution, and end-to-end observability.</li><li>
Ability to communicate clearly with both technical and non-technical stakeholders; strong documentation and design skills.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications:</h3><ul><li>
Experience with streaming/event-driven data integration (e.g., Kafka or similar) and CDC-based ingestion patterns.</li><li>
Experience with cloud data platforms and modern lakehouse/warehouse ecosystems.</li><li>
Knowledge of data governance practices (metadata, lineage, data quality frameworks).</li><li>
Experience implementing DevOps practices for data engineering (CI/CD for pipelines, infrastructure-as-code, automated testing).</li></ul><h3 class="jobSectionHeader">
Core Competencies:</h3><ul><li>
Engineering rigor: Writes maintainable, testable code and designs resilient systems.</li><li>
Problem solving: Diagnoses data issues quickly and drives root-cause resolution.</li><li>
Ownership mindset: Takes accountability for production outcomes and operational reliability.</li><li>
Partnership: Collaborates effectively across application, architecture, and business teams.</li></ul>
-
Job Family Group:
Technology
-
Job Family:
Applications Development
-
Time Type:
Full time
-
Primary Location:
Jersey City New Jersey United States
-
Primary Location Full Time Salary Range:
$142,320.00 - $213,480.00 
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
-
Most Relevant Skills
Please see the requirements listed above.
-
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
-
Anticipated Posting Close Date:
Jun 15, 2026
-
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. 
 
View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>

<div>Vice President, Auditor, Markets and Wealth Services

At BNY, our culture allows us to run our company better and enables employees&rsquo; growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world&rsquo;s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance &ndash; and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We&rsquo;re seeking a future team member for the role of Vice President, Auditor to join our Markets and Wealth Services Audit team. This role is located in Jersey City, New Jersey, Lake Mary, Florida or New York, New York.

In this role, you&rsquo;ll make an impact in the following ways:
<ul>
<li>Lead or participate in the delivery of complex and challenging global audit assignments, with a primary focus on the Clearing Broker Dealer.</li>
<li>Drive or participate in all phases of audit project execution including planning, fieldwork, and reporting in accordance with audit methodologies.</li>
<li>Perform walkthroughs with process owners; document results in narratives/flowcharts; identify and document risks and controls; develop and execute testing strategy; prepare supporting workpapers; and document test exceptions and conclusions.</li>
<li>Elevate potential audit issues to the Audit Manager and business management as soon as they are identified.</li>
<li>Identify and draft meaningful issues impacting the business under review and challenge management to develop appropriate remedial actions to address the issues identified.</li>
<li>Follow-up on remedial actions to ensure corrective actions have been appropriately implemented and where necessary, test the design, operating effectiveness, and sustainability of implemented actions.</li>
<li>Build strong relationships with key stakeholders in the business and risk management areas and with colleagues throughout the global Internal Audit team.</li>
<li>Engage in and document Continuous Monitoring activities to identify new or changing risk conditions for the covered businesses.</li>
<li>Apply advanced analytical problem-solving skills and assist others in solving complex issues and identifying innovative solutions.</li>
<li>Contribute technical or specialized skill sets or business knowledge not readily available elsewhere in the department to solve audit issues.</li>
<li>Identifies opportunities for the use of AI/automation and actively participate in advancing recommendations for software support requests.</li>
<li>Maintain up-to-date knowledge of the industry, best practice and regulatory requirements.</li>
<li>No direct reports. Demonstrate leadership through work guidance and training of less experienced peers and through advice to assigned clients.</li>
<li>Contribute to the overall achievement of team goals.</li>
<li>Carry out other ad-hoc tasks and projects as directed by audit management.</li>
</ul>
To be successful in this role, candidates should demonstrate the following qualifications and capabilities:
<ul>
<li>Bachelor&rsquo;s degree or an equivalent combination of education and relevant work experience.</li>
<li>Degree in Accounting, Finance, or another discipline requiring strong analytical and critical‑thinking skills.</li>
<li>Certified Internal Auditor (CIA) designation or other risk‑management certifications preferred.</li>
<li>7&ndash;10 years of experience in financial services or banking, specifically within Internal Audit or Risk and Compliance Management.</li>
</ul>
Technical Expertise in Clearing Broker‑Dealer Operations

Candidates must have deep knowledge of clearing broker‑dealer functions and the full trade lifecycle, including:
<ul>
<li>Execution processes: Order routing, trade capture, and execution mechanics across various asset classes.</li>
<li>Clearing operations: Trade comparison, affirmation, matching, and novation; understanding how clearing brokers mitigate counterparty risk and ensure post‑trade data accuracy.</li>
<li>Settlement processes: End‑to‑end settlement cycles (e.g., T+1/T+2), including DVP/FOP, settlement instructions, fails management, and corporate‑action processing.</li>
<li>Custody services: Asset safeguarding, custody controls, segregation requirements, reconciliations, asset servicing, and books‑and‑records responsibilities.</li>
</ul>
Regulatory Knowledge

Strong working knowledge of the regulatory environment governing financial services, including:
<ul>
<li>U.S. securities laws and regulatory structure (e.g., Securities Exchange Act of 1934).</li>
<li>FINRA rules applicable to broker‑dealers, including supervision, margin, customer protection, communications, and reporting.</li>
<li>SEC requirements such as customer asset protection (Rule 15c3‑3), net capital (Rule 15c3‑1), and recordkeeping/reporting obligations.</li>
<li>Regulations specific to clearing activities, including clearing agreements, fully disclosed vs. omnibus arrangements, and responsibilities under FINRA Rule 4311.</li>
<li>SIPC coverage and protections, including how clearing firms safeguard customer assets.</li>
</ul>
Understanding of Financial Market Infrastructure

Knowledge of the broader market ecosystem in which clearing brokers operate, including:
<ul>
<li>Clearing corporations and depositories (e.g., NSCC, DTC) and their interactions with clearing firms.</li>
<li>Trade‑reporting systems such as CAT and TRACE.</li>
<li>Operational‑risk domains, including cybersecurity, business continuity, resiliency, and data‑integrity expectations.</li>
</ul>
Audit‑Relevant Technical Competencies
<ul>
<li>Ability to assess internal controls across clearing operations, custody activities, and trade‑lifecycle processes.</li>
<li>Understanding of technology and systems architecture commonly used by clearing firms, including trade‑processing platforms and reconciliation tools.</li>
<li>Familiarity with operational‑risk areas such as breaks, exceptions, margin calls, liquidity management, and collateral processes.</li>
</ul>
Core Professional Skills
<ul>
<li>Strong written and verbal communication skills, with the ability to influence senior stakeholders.</li>
<li>Solid understanding of risk‑management and control frameworks.</li>
<li>Self‑sufficiency, initiative, and a proactive mindset.</li>
<li>Excellent planning, coordination, organizational, and presentation abilities.</li>
<li>Ability to thrive in a fast‑paced environment and adapt effectively as part of a team.</li>
<li>Proficiency in Excel and other Microsoft applications, including PowerPoint, Word, Visio, and Power BI.</li>
<li>Strong analytical skills, including the ability to interpret and apply analytics results in an audit context, along with critical‑thinking and problem‑solving capabilities</li>
<li>End to End general banking/finance knowledge</li></ul> 
 
At BNY, our culture speaks for itself, check out the latest BNY news at:

BNY Newsroom

BNY LinkedIn

Here&rsquo;s a few of our recent awards:
<ul>
<li>America&rsquo;s Most Innovative Companies, Fortune, 2025</li>
<li>World&rsquo;s Most Admired Companies, Fortune 2025</li>
<li>&ldquo;Most Just Companies&rdquo;, Just Capital and CNBC, 2025</li></ul> 
 
Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life&rsquo;s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. 
BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $68,000 and $160,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. 
This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.</div>

Vice President, Auditor, Markets and Wealth Services

Fidelity Investments

<div><h3 class="jobSectionHeader">Job Description:</h3>
The Role
Asset Management Technology (AMT) provides worldwide technology and support to all the Investment Management, Research, Trading and Investment Operations functions. We are seeking a Quant Data Engineer to join our Quantitative Research &amp; Investing Technology team. You will be responsible for database engineering aspects of software development, testing and ensuring compatibility with enterprise and solutions architecture by harnessing modern development technologies. You will have the chance to define and develop new capabilities and engage with multiple development teams and partners across the Asset Management technology. You are committed to ongoing development of your own expertise and knowledge to bring the latest capabilities and thinking to your team to empower others with that knowledge. This role will be responsible for designing, developing, and optimizing Oracle PL/SQL-based solutions that power critical risk analytics and reporting workflows.
As the database lead, you will own the full lifecycle of database development and collaborate closely with both business stakeholders and technical partners. You will play a key role in shaping the data design, ensuring performance and scalability, and driving strategic improvements across our risk infrastructure.
The Responsibilities You Will Have:<ul><li>
Lead the design and development of Oracle PL/SQL database processes, procedures, and packages to support investment risk analytics.</li><li>
Architect scalable and efficient database solutions for high-volume, time-sensitive risk data.</li><li>
Collaborate with risk managers, quantitative analysts, and engineering teams to gather requirements and deliver robust data solutions.</li><li>
Own performance tuning, query optimization, and troubleshooting of production database issues.</li><li>
Ensure data integrity, quality, and governance across systems.</li><li>
Drive modernization efforts, including migration from legacy systems and adoption of best practices.</li><li>
Define and enforce database development standards and documentation.</li><li>
Act as a strategic partner in planning long-term data architecture and infrastructure initiatives.</li><li>
Apply validated quality software engineering practices through all phases of development.</li><li>
Ensure resilience and stability through quality code reviews, unit, regression and user acceptance testing, dev ops and level two production support</li><li>
Provide mentorship and technical guidance to junior developers.</li></ul>
The Expertise and Skills You Bring:<ul><li>
10+ years of hands-on experience in Oracle PL/SQL development and database engineering.</li><li>
Proven expertise in designing and implementing complex database solutions in a production environment.</li><li>
Strong understanding of relational database design, indexing strategies, and performance optimization.</li><li>
Experience working with investment risk systems or financial data is highly preferred.</li><li>
Excellent communication and stakeholder management skills.</li><li>
Ability to lead cross-functional initiatives and work independently.</li><li>
Familiarity with tools such as Jira, Git, and CI/CD pipelines.</li><li>
Experience with data modeling and ETL frameworks.</li><li>
Exposure to Python or other scripting languages for data integration.</li><li>
Knowledge of cloud-based database solutions (e.g., AWS RDS, Snowflake) is a plus.</li><li>
Understanding of financial instruments, risk models, or portfolio analytics is beneficial.</li></ul>
The base salary range for this position is $126,000-255,000 USD per year.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidate&rsquo;s relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
Please be advised that Fidelity&rsquo;s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please consult with your recruiter for the specific expectations for this position.<h3 class="jobSectionHeader">
Certifications:</h3><h3 class="jobSectionHeader">
Category:</h3>
Information Technology</div>

Director, Quant Data Engineering

NTT DATA

Req ID: 338946
 
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
 
We are currently seeking a BFS AI/DATA Sales Specialist - U.S. - Chicago or NE Region to join our team in Jersey City, New Jersey (US-NJ), United States (US).
 
Growth and innovation are imperatives for all Banking Financial Services firms, but relentless compliance, operational and risk pressures can hinder progress. NTT DATA’s BFS practices leverage deep industry expertise (Banking Financial Services Advisory Consulting; Customer Centric Banking; Data Intelligence; Digital Banking Transformation Modernization; Digital Technology Consulting and IT Digital Operations) to provide the insights, solutions, and business outcomes our customers need to succeed across all lines of their enterprise. We work to reduce IT complexity and help integrate business strategy with enabling value-add technologies, solutions, and process optimization to produce targeted business outcomes.
 
We are looking for a specialist, quota-carrying sales lead to drive growth across Banking and Financial Services (BFS) clients in North America. This role sits at the intersection of AI-driven business transformation, data foundations, modern infrastructure, and regulated industry transformation.
 
This is not transactional selling. You will act as a trusted advisor and thought leader, helping BFS clients reimagine their future in an AI-disrupted world—shaping vision, defining roadmaps, and guiding large-scale, multi-year transformation programs.
 
You will be supported by deep NTT DATA SMEs across AI, data, cloud, applications, security, and industry solutions, but you are expected to own the client narrative, connect the dots, and land complex deals.
 
Responsibilities: 
Revenue Growth Ownership
 <ul>
<li>Own a quota-carrying role measured on ACV, TCV</li>
<li>Drive new sales in existing accounts and breakthrough new logo and expansion opportunities across North American BFS clients</li>
<li>Shape and close large, complex, multi-tower transformation deals</li>
</ul>
Client Advisory Thought Leadership
 <ul>
<li>Engage senior BFS stakeholders (CIO, CTO, CDO, COO, Chief Risk/Compliance, Business Heads)</li>
<li>Lead conversations on:</li>
<li>The future of BFS in an AI-driven, highly regulated world</li>
<li>AI-led business reimagination (not just AI use cases) and hence pull in the underlying IT services and technologies offerings of NTT Data like – Modern Data services, App modernization, re-imagines BPO services, Transformed Infrastructure, Operating model and business process transformation enabled by AI</li>
<li>Position NTT DATA as a strategic transformation partner, not just a technology vendor</li>
</ul>
AI-Led Transformation Storytelling
 <ul>
<li>Articulate a compelling, end-to-end transformation narrative that covers:</li>
<li>AI and agentic processes</li>
<li>Data foundations (governance, quality, platforms, analytics)</li>
<li>Modern cloud and infrastructure</li>
<li>Application estate modernization</li>
<li>Business process change and operating model impact</li>
<li>Clearly explain why data, platforms, and modernization are prerequisites for AI success</li>
</ul>
Industry Regulatory Alignment
 <ul>
<li>Anchor all transformation discussions in BFS regulatory and compliance realities, including:</li>
<li>Data privacy and governance</li>
<li>Model risk management</li>
<li>Auditability and explainability of AI</li>
<li>Security and resilience</li>
<li>Help clients understand how AI-led transformation can align with and strengthen regulatory compliance, not conflict with it</li>
</ul>
Collaboration Deal Orchestration
 <ul>
<li>Work closely with Client executives of Top accounts, with Sales executives for new logos to drive increase in sales in their areas.</li>
<li>Leverage and orchestrate SMEs across NTT DATA practices (consulting, AI, data, cloud, apps, security, Data centers, and BFS domain industry solutions SME)</li>
<li>Translate deep technical capabilities into business-relevant outcomes</li>
<li>Act as the single narrative owner for the client journey</li>
</ul>
Qualifications: 
<ul>
<li>15–18+ years of experience in enterprise technology or transformation sales, IN BFS space.</li>
<li>Proven success selling into Banking Financial Services clients in North America</li>
<li>Experience owning and closing, complex, multi-stakeholder deals</li>
<li>Track record of selling consultative, transformation-led engagements (not just point solutions)</li>
</ul>
BFS Industry Expertise
 <ul>
<li>8+ years of BFS domains (Banking, Capital Markets, Payments, Lending)</li>
<li>Working knowledge of:</li>
<li>Regulatory and compliance requirements</li>
<li>Risk, governance, and data controls</li>
<li>Ability to discuss business, operations, and technology in one integrated conversation</li>
</ul>
AI, Data Technology Acumen
 <ul>
<li>8 + years’ experience with AI, Data, Technology. Comfortable discussing:</li>
<li>AI/GenAI and agentic architectures</li>
<li>Data platforms, governance, analytics, and data foundations</li>
<li>Cloud, infrastructure, and application modernization</li>
<li>Able to connect technology choices to business and operating model outcomes</li>
<li>Not expected to be an architect—but must be credibly fluent</li>
</ul>
Sales DNA Mindset
 <ul>
<li>8+ years of Specialist / solution-led sales focused on “value-add” offerings at the intersection of business and technology</li>
<li>Loves being seen as a thought partner and advisor</li>
<li>Strong storytelling skills—able to stitch a compelling narrative end-to-end</li>
<li>Curious, forward-looking, and passionate about how AI will reshape BFS</li>
</ul>
What Makes This Role Attractive
 <ul>
<li>Opportunity to shape AI-led transformation journeys for leading BFS institutions</li>
<li>Ability to sell strategic, multi-year programs with real business impact</li>
<li>Backed by deep global delivery, platforms, and SMEs</li>
<li>High visibility role with influence across industry, clients, and internal leadership</li>
<li>Ideal for sellers who want to lead with ideas, not just products</li>
</ul>
Success in This Role Looks Like
 <ul>
<li>Clients see you as a trusted advisor on AI-driven BFS transformation</li>
<li>You consistently create new opportunities and take it to qualification and help land complex, high-value deals</li>
<li>You elevate conversations from “technology” to business reimagination</li>
<li>You inspire confidence in navigating AI, data, regulation, and change—together</li>
</ul>
#LI-SGA
 
#BFSISales
 
#USSalesJobs
 
#BFSSales
 
About NTT DATA
 
NTT DATA is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients’ long-term success. Visit nttdata.com or LinkedIn to learn more.
 
NTT DATA is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.
 
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $131,625. – 292,500. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.
 
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life and ADD insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

BFS AI/DATA Sales Specialist - U.S. - Chicago or NE Region

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BFS AI/DATA Sales Specialist - U.S. - Chicago or NE Region