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data engineer, vice president Jobs in Jersey City

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applied aiml data scientist-senior associate Jobs in Jersey City

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lead data scientist - finance technology Jobs in Jersey City

lead data scientist - finance technology

data scientist

JPMorganChase

<div>JOB DESCRIPTION 
Join our Finance Technology team to build world-class AI/ML solutions for finance processes and drive significant business impact by tackling diverse challenges across multiple technologies and applications.
As a Lead Data Scientist in our Finance Technology team, you will play a pivotal role in building and delivering cutting-edge AI/ML solutions that enhance our finance processes. Your deep technical expertise and problem-solving skills will drive significant business impact, as you work on diverse challenges across multiple technologies and applications. Collaborate with business users and technology partners to identify and execute machine learning opportunities, while managing a global team of data scientists and engineers.
Job Responsibilities:<ul>
<li>Build and train production-grade ML models on large-scale datasets to solve business use cases.</li>
<li>Utilize large-scale data processing frameworks to extract value from structured and unstructured data.</li>
<li>Apply Deep Learning models like NLP, LLM, and Gen AI for summarization, forecasting, and anomaly detection.</li>
<li>Conduct data modeling experiments, evaluate against baselines, and extract key statistical insights.</li>
<li>Create data models using best practices to ensure high data quality and reduced redundancy.</li>
<li>Stay current on industry trends and adopt the latest methodologies into existing implementations.</li>
<li>Present and market proposed solutions to senior business and technology colleagues.</li>
<li>Collaborate closely with business users to identify and execute machine learning opportunities.</li>
<li>Work with the team and other technology partners on ML Ops aspects.</li>
<li>Manage a global team of data scientists and data engineers.</li></ul>
Required Qualifications, Capabilities, and Skills:<ul>
<li>Bachelor&rsquo;s Degree or equivalent experience in Computer Science or Data Science.</li>
<li>12+ years of experience as a data scientist.</li>
<li>Experience with machine learning techniques and advanced analytics (e.g., regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization, NLP).</li>
<li>Experience with LLM and Gen AI.</li>
<li>Experience with Agentic workflows.</li>
<li>Proficiency in ML languages such as Python, SQL, Scala.</li>
<li>Experience with statistical techniques - i.e., data mining, data transformations, text mining, data visualization.</li></ul>
Preferred Qualifications, Capabilities, and Skills:<ul>
<li>Familiarity with Financial Services.</li>
<li>Experience building ML models in a cloud environment.</li>
<li>Experience with Big Data Platforms such as Hadoop.</li>
<li>Outstanding written/verbal communication and presentation skills.</li>
<li>Comfort with ambiguity and proven ability to structure problems.</li>
<li>Team-oriented collaborator.</li></ul>
ABOUT US 
Chase is a leading financial services firm, helping nearly half of America&rsquo;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans 
 
 
ABOUT THE TEAM 
 
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div>

Lead Data Scientist - Finance Technology

<div>JOB DESCRIPTION 
The Legal Applied AI/ML team in Corporate Technology at JPMorgan Chase focuses on solving challenging business problems such as semantic search, question answering, document analysis, automation of service inquiries through data science and ML techniques, particularly using GenAI and LLM tools and techniques. You will work with the firm&rsquo;s rich data pool from both internal and external sources using GenAI tools and frameworks, Python/Spark via AWS and other systems. You are also expected to derive business insights from technical results and be able to present them to non-technical audience.
As an Applied AI ML Data Scientist-Senior Associate on Corporate team, you will have the opportunity to study complex business problems and apply advanced algorithms to develop, test, and evaluate AI/ML applications or models for those problems.
Job responsibilities<ul><li>
Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases.</li><li>
Develop GenAI and LLM solutions to solve business problems.</li><li>
Implement optimization strategies to fine-tune generative models for specific GenAI use cases, ensuring high-quality outputs.
</li><li>Execute tasks throughout a model development process including data wrangling/analysis, model training, testing, and selection.
</li><li>Generate structured and meaningful insights from data analysis and modelling exercise and present them in appropriate format according to the audience.
</li><li>Communicate AI/GenAI capabilities and results to both technical and non-technical audiences.
</li><li>Stay informed about the latest trends and advancements in the latest AI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.
</li></ul>Required qualifications, capabilities, and skills<ul><li>
PhD in Computer Science or a related quantitative discipline with 1+ years of relevant experience or MS/BS in Computer Science or a related field with 2+ years of relevant experience.</li><li>
Practical expertise with LLM projects as well as other supervised and unsupervised techniques; proven track record of deploying AI/ML applications in a production environment.</li><li>
Proficient programming skills with Python and SQL as well as practical experience with other languages such as R, Java and other equivalent languages.</li><li>
Demonstrated experience working with large and complicated datasets.</li><li>
Experience with ML frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API.</li><li>
Experience integrating user feedback to establish agentic refinement and self-improving AI applications.</li><li>
Solid understanding of fundamentals of statistics and machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning) and generative model architectures, particularly Transformer.</li><li>
Ability to identify and address AI/LLM challenges, implement optimizations and tune models for optimal performance in NLP applications.</li><li>
Excellent problem solving, communication (verbal and written), and teamwork skills.</li></ul>
Preferred qualifications, capabilities, and skills<ul><li>
Experience working with engineering teams to operationalize ML models.</li><li>
Expertise in designing and implementing pipelines using RAG and Agentic AI framework</li><li>
Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
</li></ul>ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Applied AIML Data Scientist-Senior Associate

<div>JOB DESCRIPTION 
Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.
As a Data Scientist Vice President within the Compliance, Conduct Operational Risk (CCOR) Data Analytics team, you will be responsible for devising and developing Proofs of Concept (POCs) and deployable models using AI/Gen AI/ ML techniques, algorithms and other statistical and numerical methods. You will need to be able to extract and work with large volumes of data (both structured and unstructured) from multiple sources, transforming it into an analysis-ready format to develop the data pipeline. Additionally, you are expected to independently formulate methodologies, and quantitative and analytical tasks, from business problems.
Job Responsibilities
<ul><li>Analyze complex/unstructured data to understand the business problem and use case</li><li>
Analyze business requirements, design, and develop appropriate methodology</li><li>
Develop deployable, scalable and effective models/ analytical methods as part of technology managed system or as a self-served application of a business user
</li><li>Work collaboratively and creatively with other data scientists, technology partners, risk professionals, model validation teams, etc.
</li><li>Prepare technical documentation of quantitative models for internal model risk and governance review
</li></ul>Required qualifications, capabilities, and skills
<ul><li>6+ years of related experience in Python, R or Scala with Bachelor of Science degree in Computer Science, Physical Sciences, Econometrics, Statistics, or other any quantitative discipline.</li><li>
Demonstrable theoretical and application knowledge of AL/ ML, Gen AI and Statistical Models</li><li>
Demonstrable hands-on experience with Transformer or other deep learning architectures in real applications</li><li>
Demonstrable hands-on experience with using or fine tuning multimodal LLM in real business applications with scale and performance</li><li>
Demonstrable hands-on experience and familiarity with any or all of the following packages, algorithms, and/or alternatives, including Graph Learning Packages : (NetworkX, Torch-Geometric, Graphframes, Graphistry),ML Packages (Pandas, Scikit-Learn, XGBoost, catboost, lightgbm, automl, Optuna, Hyperopt), Visualization Packages (Matplotlib, Seaborn, Geopandas), Algorithm (Ensemble Louvian / Hierarchical Clustering, Label Propagation, Connected Component Analysis, Graph Neural net (Graph Attention Network), Page Rank, Centrality Analysis, Tree based Analysis, Outlier Detection Methods, Zero Shot/ Few Shot learning)</li><li>
Demonstrable experience with graph analytics, graph-based learning, and graph representation/visualization</li><li>
Experience in graph Database: TigerGraph, Neo4j</li><li>
Experience in Query Language: Hive, Cypher (Graph Query Language)</li><li>
Experience in developing and operationalization of data pipelines
</li><li>Familiarity and experience of assimilating large amounts of data from multiple databases and utilize them for creating actionable outcome; Adhering to a standardized analysis and project methodology; and documenting quantitative analysis</li><li>
Experience with processes, controls and governance of a highly regulated environment; Self-starter and strong influencing skills with strong communication skills</li></ul>
Preferred qualifications, capabilities, and skills
<ul><li>Hands-on professional experience in software development especially with analytical &amp; computationally intensive systems, digital transformations leveraging cloud technologies (AWS, GCP, Azure, Databricks etc.). Experience with EKS or AKS provisioning is a plus</li><li>
Post graduate degrees such as Master&rsquo;s Degree, PhD, etc. is preferred</li><li>
Real life exposure to Agile SDLC, ModelOps and /Or Design Thinking is desirable.</li><li>
Working knowledge of C/C#/C++ or others is a plus</li><li>
Experience in financial services industry especially in Operational Risk Management, Anti-Money Laundering &amp; Know Your Customer, Trade Surveillance model development</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Compliance - Applied AI/ML Senior Associate

Citi

<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>

Data Engineer, Vice President

Information Technology Senior Management Forum

<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>

<div>JOB DESCRIPTION 
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within the Corporate - Risk Technology, you are an integral part of an agile Data Platform and Strategy Team driving the design, development, and delivery of advanced data engineering solutions and market-leading technology products. With a strong SRE mindset, you will champion reliability, scalability, and operational excellence across multiple technical domains, ensuring our systems are robust, secure, and resilient. You will lead critical technology initiatives, proactively address system reliability challenges, and foster a culture of continuous improvement and automation, supporting the firm&rsquo;s business objectives through innovative engineering leadership
Job responsibilities
<ul><li>Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
</li><li>Develops secure high-quality production code for data-intensive applications, and reviews and debugs code written by others
</li><li>Drives the implementation of SRE best practices, including automated monitoring, alerting, and self-healing mechanisms to ensure high availability and reliability of data platforms
</li><li>Leads root cause analysis and post-incident reviews, collaborating with other engineering team members to develop long-term solutions that prevent recurrence and improve system resiliency
</li><li>Mentors and guides other engineering team members in adopting SRE principles, fostering a culture of reliability, automation, and continuous improvement
</li><li>Collaborate with product, engineering, and operations teams to define and measure service level objectives (SLOs), service level indicators (SLIs), and error budgets
</li><li>Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
</li><li>Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
</li><li>Adds to team culture of diversity, opportunity, inclusion, and respect</li></ul> 
Required qualifications, capabilities, and skills
<ul><li>Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>
Proficiency in Engineering &amp; Architecture, AI/ML with hands-on experience in designing, implementing, testing, and ensuring the operational stability of large-scale enterprise data platforms and solutions
</li><li>Demonstrated expertise in applying SRE principles to drive reliability engineering, automation, and operational excellence within complex technical environment
</li><li>Deep understanding of distributed systems, cloud-native architectures, and large-scale data processing, with hands-on expertise in Java, Python, and big data technologies (e.g., Spark/PySpark, Databricks, Snowflake)
</li><li>Hands-on practical experience delivering system design, application development, testing, and operational stability
</li><li>Experience in developing, debugging, and maintaining code (preferably in a large corporate environment) with one or more modern programming languages and database querying languages with good overlap of application &amp; DB.
</li><li>Strong background in observability tools (e.g., Dynatrace, Splunk, Grafana), incident management, and performance optimization
</li><li>Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
</li></ul>Preferred qualifications, capabilities, and skills
<ul><li>Proficiency in automation, continuous delivery methods and all aspects of the Software Development Life Cycle
</li><li>Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g. data engineering, cloud, artificial intelligence, machine learning, mobile, etc.)
</li><li>Experience with modern data technologies such as Databricks or Snowflake. Experience in large scale data processing, using micro services, API design, Kafka, Redis, MemCached, Observability (Dynatrace , Splunk, Grafana or similar), Orchestration (Airflow, Temporal)
</li><li>Knowledge of the financial services industry and their IT systems
</li></ul>ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Lead Software Engineer| Risk Data Platform & Strategy

AvePoint France

<div>
 Location: Jersey City, NJ, United States Department: Data &amp; AI Posted Date: 4/24/2026
 
 
 
 About AvePoint
 
 
 
 AvePoint is the global leader in data protection, unifying data security, governance, and resilience to provide a trusted foundation for AI. More than 28,000 customers rely on the AvePoint Confidence Platform to secure, govern, and rapidly recover data across Microsoft, Google, Salesforce, and other cloud environments. With a single platform for lifecycle control, multicloud governance, and rapid recovery paired with clear ownership across the business, we prevent overexposure and sprawl, modernize legacy and fragmented data, and minimize data loss and interruption. Our global partner ecosystem includes approximately 6,000 MSPs, VARs, and SIs, and our solutions are available in over 100 cloud marketplaces. To learn more, visit www.avepoint.com.
 
 
 At AvePoint, we are committed to investing in our people. Agility, passion and teamwork set us up to do our best work and foster a culture where you are empowered to craft your career, make an impact, and own (y)our future. Unleash the power of you!
 
 
 
 Overview
 
 
 
 We are seeking a dynamic and forward-thinking AI Adoption Lead to join our AI team. This hybrid role is designed for a strategic thinker who thrives at the intersection of business process analysis and cutting-edge AI enablement. You will play a pivotal role in identifying high-impact opportunities for AI integration and leading the internal adoption of technologies such as Microsoft 365 Copilot, Copilot Studio, and Gemini Enterprise.
 
 
 This role is split 50/50 between traditional business analysis and internal AI evangelism. You will work closely with cross-functional teams and executive leadership to drive AI literacy, promote the &ldquo;art of the possible,&rdquo; and ensure AI tools are embedded into everyday workflows to unlock productivity and innovation at scale.
 
 
 You will collaborate closely with the AI Team developers responsible for building solutions on top of Copilot Studio, Microsoft Agent Framework, and Gemini Enterprise to ensure seamless implementation and integration.
 
 
 
 Key Responsibilities
 
 
 
 
 Business Analysis (50%)
 
 
 
 <ul>
 <li>
 Analyze current business processes and identify opportunities for AI-driven optimization and automation.
 </li>
 <li>
 Lead requirements gathering sessions and develop &ldquo;As-Is&rdquo; and &ldquo;To-Be&rdquo; process documentation.
 </li>
 <li>
 Translate business needs into functional specifications for AI solutions and integrations.
 </li>
 <li>
 Collaborate with the rest of the AI Team to ensure technical feasibility and alignment with enterprise architecture.
 </li>
 <li>
 Support project planning, scoping, and delivery of AI-enabled solutions.
 
 
 </li>
 </ul>
 
 AI Adoption &amp; Evangelism (50%)
 
 
 
 <ul>
 <li>
 Champion the internal adoption of AI tools (e.g., M365 Copilot, Copilot Studio, Gemini Enterprise) across business units.
 </li>
 <li>
 Design and deliver engaging training programs, workshops, and enablement materials (videos, guides, demos).
 </li>
 <li>
 Partner with executive leadership to promote top-down AI adoption strategies and cultural change.
 </li>
 <li>
 Act as a subject matter expert and first-line support for AI tools, addressing user questions and feedback.
 </li>
 <li>
 Monitor adoption metrics and identify blockers.
 </li>
 <li>
 Surface and prioritize high-value AI use cases and contribute to the internal AI roadmap.
 </li>
 <li>
 Foster a community of AI champions and internal advocates to scale adoption efforts.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 5+ years of experience in business analysis, digital transformation, or technology enablement roles.
 </li>
 <li>
 Proven experience with business process mapping, requirements gathering, and stakeholder engagement.
 </li>
 <li>
 Strong understanding of AI technologies, including generative AI, LLMs, and tools like Microsoft 365 Copilot, Copilot Studio, and/or Gemini Enterprise.
 </li>
 <li>
 Experience designing and delivering training or change management programs.
 </li>
 <li>
 Excellent communication and facilitation skills; ability to translate complex technical concepts into accessible language.
 </li>
 <li>
 Comfortable engaging with all levels of the organization, including C-suite executives.
 </li>
 <li>
 Bachelor&rsquo;s degree in Business, Computer Science, Information Systems, or a related field.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with prompt engineering, AI governance, or AI literacy initiatives.
 </li>
 <li>
 Familiarity with Microsoft 365 ecosystem (SharePoint, Teams, Power Platform) and M365 admin tools.
 </li>
 <li>
 Background in organizational change management or enterprise training.
 </li>
 <li>
 Experience working with AI analytics dashboards (e.g., Copilot Analytics) to track adoption and impact.
 
 
 </li>
 </ul>
 The Salary Range for this role is 130,000 - $160,000. At AvePoint, we strive to offer competitive, fair, and equitable total rewards. The listed salary range represents a good faith estimate, with final offers based on location, experience, skills, and qualifications. The listed range reflects base salary only; our total rewards include base salary, comprehensive benefits (medical, dental, vision, 401(k) with match, unlimited PTO), and depending on the role, bonuses, commissions, or equity (RSUs). We welcome compensation discussions&mdash;apply even if your expectations fall outside the range.
 
 
 Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice.
 
 
 Why AvePoint?
 
 
 We are invested in the success of our colleagues, partners, customers, and community. We do this by promoting global collaboration and taking pride in helping, sharing, mentoring, and coaching each other.
 
 
 <ul>
 <li>
 ]:align-middle bg-white text hover:text-primary-hover active:bg-white [&amp;_.icon]:text-primary group/btn w-full sm:w-fit px-4 py-[5px] text-sm rounded-md border" href="https://www.avepoint.com/blog/careers/" target="_blank"&gt;
 
 
 </li>
 </ul>
 Life at AvePoint
 
 
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Lead Software Engineer| Risk Data Platform & Strategy

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