gen ai-ml engineer, avp

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director enterprise data science ai python

Gartner

<div><p><b>Role (Business title): </b>Director, Enterprise Data Science &amp; AI<br>
</p><p></p><p><b>About the Role:
</b></p><p></p><p>As Data Science Director at Gartner, you'll lead the development of innovative AI models and machine learning solutions that drive strategic business outcomes. You'll build and mentor a talented team of data scientists while establishing technical standards and best practices. The ideal candidate combines strong technical expertise with exceptional communication skills to translate complex insights into actionable recommendations for senior leadership and business stakeholders.
</p><p></p><p><b>What you&rsquo;ll do:
</b></p><ul><li>Design, develop, and deploy scalable Data Science &amp; AI models to elevate the quality and depth of Gartner&rsquo;s data assets, ensuring high accuracy, reliability, and completeness.
</li><li>Create predictive &amp; optimization models to drive measurable business value.
</li><li>Establish and maintain data science best practices, methodologies and quality standards.
</li><li>Translate analytical insights into strategic, actionable recommendations for senior leadership.
</li><li>Build, lead and mentor a high-performing team of data scientists, fostering both technical excellence and professional growth.
</li><li>Drive project execution through effective management of direct reports and coordination of cross-functional project teams.
</li><li>Collaborate with business partners to identify and prioritize high-impact data science &amp; AI initiatives that advance Gartner&rsquo;s strategic objectives.
</li><li>Deliver compelling presentation of analytical findings to secure stakeholder buy-in and drive organizational adoption.
</li></ul><p></p><p><b>What you&rsquo;ll need:
</b></p><ul><li>Master&rsquo;s degree or higher in Data Science, Computer Science, Statistics, Information Management, or related quantitative field.
</li><li>10+ years of experience in data science, AI, data governance, or similar roles, with a proven track record of successfully delivering complex data science and AI projects in business environments.
</li><li>Comprehensive understanding of AI ethics, risk management, and industry compliance, including experience implementing best practices for transparency and accountability in AI.
</li><li>Proficiency in data science tools and programming languages (e.g., Python, R, SQL) and experience with platforms that support model management and enrichment.
</li><li>Deep understanding of statistical analysis and machine learning techniques.
</li><li>Hands-on experience with generative AI tools and technologies, including large language models and their business applications.
</li><li>Outstanding written and verbal communication skills, with ability to translate complex technical concepts for non-technical audiences.
</li><li>Exceptional stakeholder management abilities and proven success in cross-functional collaboration.
</li><li>Strong problem-solving aptitude and demonstrated excellence in people management and team development.
</li></ul><p></p><p><b>What you&rsquo;ll receive:
</b></p><ul><li>Competitive compensation.
</li><li>Limitless growth and learning opportunities.
</li><li>A collaborative and positive culture - join a diverse team of professionals that are as smart and driven as you.
</li><li>A chance to make an impact &ndash; your work will contribute directly to our strategy.
</li><li>Enjoy the flexibility of working from home and the energy of collaborating with peers in our dynamic offices.
</li><li>20+ PTO days plus holidays and floating holidays in your first year.
</li><li>Extensive medical, dental insurance and vision plan.
</li><li>401K with corporate match, immediate vesting.
</li><li>Health-and-wellness-related allowance programs.
</li><li>Parental leave.
</li><li>Tuition reimbursement.
</li><li>Employee Stock Purchase Plan.
</li><li>Employee Assistance Program.
</li><li>Gartner Gives Charity Match.
 </li></ul><p>And much more!
</p><p></p><p><b>What are we:
</b></p><ul><li><b>Action Oriented - </b>Deliver fast, get great results. We embrace the vision, roadmap to success and the action it takes to make it happen.
</li><li><b>Intellectually Curious </b>- Seek to learn, love to teach. We&rsquo;re humble and embrace respectful, radical candor with a mindset of ongoing professional and personal development.
</li><li><b>Collaborative - </b>One team, shared mission. We welcome feedback and understand the value of working together to accomplish more than what is possible individually.
</li></ul><p></p><p>#LI-JD6
</p><p>#LI-Hybrid
</p><p>#LI-Technology
</p><p><b>Who are we?
</b></p><p></p><p>At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.
</p><p></p><p>Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities.
</p><p></p><p>Since our founding in 1979, we&rsquo;ve grown to 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That&rsquo;s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.
</p><p></p><p><b>What makes Gartner a great place to work?
</b></p><p></p><p>Our vast, virtually untapped market potential offers limitless opportunities &ndash; opportunities that may not even exist right now &ndash; for you to grow professionally and flourish personally. How far you go is driven by your passion and performance.
</p><p></p><p>We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.
</p><p></p><p>Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.
</p><p></p><p>We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.
</p><p></p><p><b>What do we offer?
</b></p><p></p><p>Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.
</p><p></p><p>In our hybrid work environment, we provide the flexibility and support for you to thrive &mdash; working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.
</p><p></p><p>Ready to grow your career with Gartner? Join us.
</p><p></p>Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 122,000 USD - 168,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more.<br>
<p><br>
The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.
</p><p></p><p>Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company&rsquo;s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com .
</p><p></p>Job Requisition ID:109124
<p></p><p>By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence.
</p><p></p><p>Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy<br>
</p><p><br>
<b>For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.</b></p></div>

Director, Enterprise Data Science & AI (Python

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>4/02/2026</p>
</div><div><p>Description</p>
<div><p><b>Overview of the Role
</b></p><p>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.</p><p>
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.</p><p>
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.</p><p>
The <b>Gen AI-ML Engineer </b>is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.</p><p><b>
Responsibilities</b></p><ul><li>
Design, develop, and implement GenAI solutions for various financial applications, including personalized recommendations, risk assessment, fraud detection, and automated reporting. Explore and experiment with advanced GenAI concepts like Agentic AI.</li><li>
Design and implement intelligent chatbots.</li><li>
Process and analyze large datasets of structured and unstructured financial data.</li><li>
Architect and implement efficient RAG pipelines, leveraging tools like LlamaIndex and LangChain.</li><li>
Develop and refine advanced prompting strategies for LLMs.</li><li>
Test, evaluate, and analyze the performance of LLM and other GenAI models.</li><li>
Collaborate closely with engineering teams to deploy and maintain GenAI models in production environments, including containerization, CI/CD pipelines, and cloud infrastructure management.</li><li>
Communicate effectively with business stakeholders.</li><li>
Stay up-to-date with the latest advancements in GenAI research and development, including areas like Agentic AI.</li></ul><p><b>
Required Skills and Qualifications</b></p><ul><li>
5 years+ of experience in AI/ML development, with a proven track record of building and deploying sophisticated GenAI applications.</li><li>
Deep understanding of GenAI models and architectures, including transformers, LLMs (e.g., Llama, Gemini, GPT-4), GANs, and diffusion models. Familiarity with Agentic AI concepts.</li><li>
Extensive experience with prompt engineering, fine-tuning LLMs, and evaluating their performance.</li><li>
Expert-level Python programming skills and proficiency with relevant libraries (e.g., Transformers, LangChain, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, LlamaIndex).</li><li>
Experience with vector databases (e.g., Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with vector extensions) and implementing RAG pipelines using tools like LlamaIndex and LangChain.</li><li>
Strong software engineering skills, including containerization (Docker, Kubernetes), CI/CD pipelines, and cloud infrastructure management (AWS, Azure, GCP).</li><li>
Strong analytical, problem-solving, and communication skills.</li><li>
Experience with MLOps principles and tools.</li><li>
Excellent collaboration skills.</li></ul><p><b>
Technology Stack</b></p><ul><li>
Programming Languages: Python (expert proficiency required)</li><li>
Python Packages: Transformers, LangChain, LlamaIndex, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, and other relevant data science, machine learning, and web development libraries.</li><li>
Deep Learning Frameworks: TensorFlow, PyTorch</li><li>
LLMs: Llama, Gemini, GPT-4, and other advanced LLMs.</li><li>
Vector Databases: Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with vector extensions (pgvector).</li><li>
Cloud Platforms: AWS, Azure, GCP</li><li>
MLOps Tools: MLflow, Kubeflow, or similar.</li><li>
Containerization: Docker, Kubernetes</li><li>
CI/CD Tools: GitHub Actions, Jenkins, or similar.</li><li>
Version Control: Git</li><li>
Data Visualization &amp; Reporting: Tableau, Power BI, matplotlib, seaborn.</li><li>
Databases: SQL and NoSQL databases.</li></ul><p><b>
Education:</b></p><ul><li>
Bachelor&rsquo;s degree/University degree or equivalent experience</li></ul><p>
-</p><p><b>
Job Family Group:
</b></p>Technology<p>
-</p><p><b>
Job Family:</b></p>
Applications Development<p>
-</p><p><b>
Time Type:</b></p>
Full time<p>
-</p><p><b>
Primary Location:</b></p>
Irving Texas United States<p>
-</p><p><b>
Primary Location Full Time Salary Range:</b></p>
$107,120.00 - $160,680.00<p><br>
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.</p><p>
-</p><p><b>
Most Relevant Skills
</b></p>Please see the requirements listed above.<p>
-</p><p><b>
Other Relevant Skills
</b></p>For complementary skills, please see above and/or contact the recruiter.<p>
-</p><p><b>
Anticipated Posting Close Date:</b></p>
Apr 08, 2026<p>
-</p><p><i>
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.</i></p><p></p><p><i><br>
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 </i><i>Accessibility at Citi</i><i>.</i><br>
<br>
<i>View Citi&rsquo;s </i><i>EEO Policy Statement</i><i> and the </i><i>Know Your Rights</i><i> poster.</i></p></div>
</div><div><p>Salary</p><p>
107,120.00 - 160,680.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Gen AI-ML Engineer, AVP

Citi

<div><div><div>Job Req Id:</div>
<div>26950092</div>
</div><div><div>Location(s):</div>
<div>Irving, Texas, United States</div>
</div><div><div>Job Type:</div>
<div>Hybrid</div>
</div><div><div>Posted:</div>
<div>Apr. 01, 2026</div></div></div>
<br><div><h2 class="jobSectionHeader"><b>Discover your future at Citi</b></h2>
<p>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.</p>
<h2 class="jobSectionHeader"><b>Job Overview</b></h2>
<p><b>Overview of the Role
</b></p><p>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.</p><p></p><p>
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.</p><p></p><p>
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.</p><p></p><p>
The <b>Gen AI-ML Engineer </b>is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.</p><p></p><p><b>
Responsibilities</b></p><ul><li><p>
Design, develop, and implement GenAI solutions for various financial applications, including personalized recommendations, risk assessment, fraud detection, and automated reporting. Explore and experiment with advanced GenAI concepts like Agentic AI.</p></li><li><p>
Design and implement intelligent chatbots.</p></li><li><p>
Process and analyze large datasets of structured and unstructured financial data.</p></li><li><p>
Architect and implement efficient RAG pipelines, leveraging tools like LlamaIndex and LangChain.</p></li><li><p>
Develop and refine advanced prompting strategies for LLMs.</p></li><li><p>
Test, evaluate, and analyze the performance of LLM and other GenAI models.</p></li><li><p>
Collaborate closely with engineering teams to deploy and maintain GenAI models in production environments, including containerization, CI/CD pipelines, and cloud infrastructure management.</p></li><li><p>
Communicate effectively with business stakeholders.</p></li><li><p>
Stay up-to-date with the latest advancements in GenAI research and development, including areas like Agentic AI.</p></li></ul><p></p><p><b>
Required Skills and Qualifications</b></p><ul><li><p>
5 years+ of experience in AI/ML development, with a proven track record of building and deploying sophisticated GenAI applications.</p></li><li><p>
Deep understanding of GenAI models and architectures, including transformers, LLMs (e.g., Llama, Gemini, GPT-4), GANs, and diffusion models. Familiarity with Agentic AI concepts.</p></li><li><p>
Extensive experience with prompt engineering, fine-tuning LLMs, and evaluating their performance.</p></li><li><p>
Expert-level Python programming skills and proficiency with relevant libraries (e.g., Transformers, LangChain, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, LlamaIndex).</p></li><li><p>
Experience with vector databases (e.g., Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with vector extensions) and implementing RAG pipelines using tools like LlamaIndex and LangChain.</p></li><li><p>
Strong software engineering skills, including containerization (Docker, Kubernetes), CI/CD pipelines, and cloud infrastructure management (AWS, Azure, GCP).</p></li><li><p>
Strong analytical, problem-solving, and communication skills.</p></li><li><p>
Experience with MLOps principles and tools.</p></li><li><p>
Excellent collaboration skills.</p></li></ul><p></p><p><b>
Technology Stack</b></p><ul><li><p>
Programming Languages: Python (expert proficiency required)</p></li><li><p>
Python Packages: Transformers, LangChain, LlamaIndex, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, and other relevant data science, machine learning, and web development libraries.</p></li><li><p>
Deep Learning Frameworks: TensorFlow, PyTorch</p></li><li><p>
LLMs: Llama, Gemini, GPT-4, and other advanced LLMs.</p></li><li><p>
Vector Databases: Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with vector extensions (pgvector).</p></li><li><p>
Cloud Platforms: AWS, Azure, GCP</p></li><li><p>
MLOps Tools: MLflow, Kubeflow, or similar.</p></li><li><p>
Containerization: Docker, Kubernetes</p></li><li><p>
CI/CD Tools: GitHub Actions, Jenkins, or similar.</p></li><li><p>
Version Control: Git</p></li><li><p>
Data Visualization &amp; Reporting: Tableau, Power BI, matplotlib, seaborn.</p></li><li><p>
Databases: SQL and NoSQL databases.</p></li></ul><p></p><p><b>
Education:</b></p><ul><li><p>
Bachelor&rsquo;s degree/University degree or equivalent experience</p></li></ul><p>
-</p><p><b>
Job Family Group:
</b></p>Technology<p>
-</p><p><b>
Job Family:</b></p>
Applications Development<p>
-</p><p><b>
Time Type:</b></p>
Full time<p>
-</p><p><b>
Primary Location:</b></p>
Irving Texas United States<p>
-</p><p><b>
Primary Location Full Time Salary Range:</b></p>
$107,120.00 - $160,680.00<p><br>
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.</p><p>
-</p><p><b>
Most Relevant Skills
</b></p>Please see the requirements listed above.<p>
-</p><p><b>
Other Relevant Skills
</b></p>For complementary skills, please see above and/or contact the recruiter.<p>
-</p><p><b>
Anticipated Posting Close Date:</b></p>
Apr 08, 2026<p>
-</p><p><i>
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.</i></p><p></p><p><i>
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 </i><i>Accessibility at Citi</i><i>.</i><br>
<br>
<i>View Citi&rsquo;s </i><i>EEO Policy Statement</i><i> and the </i><i>Know Your Rights</i><i> poster.</i></p></div>

Persistent Systems

<div><div><div><p><b>Job Description
</b></p></div><div><div><div><p><b>
About Persistent</b></p><br>
<p></p>
<p>We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what?s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.</p><br>
<p></p>
<p>Our disruptor?s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 23 sequential quarters of growth with $422.5M in Q3 FY26 revenue, up 4.0% Q-o-Q and 17.3% Y-o-Y growth. Our 26,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We won the 2025 ISG Star of Excellence? Award for AI and Data Excellence and were named a Leader in the Everest Group Talent Readiness for Next-generation Data, Analytics and AI Services PE?<i>?</i> Assessment 2025.</p><br>
<p></p>
<p><b>About Position:</b></p><br>
<p></p>
<p></p><p>We are seeking an experienced <b>GCP Data Engineer / BigQuery Developer</b> with deep hands-on expertise in Google Cloud Platform&rsquo;s big data ecosystem. The ideal candidate will design, build, optimize, and maintain scalable data pipelines and analytical solutions using GCP services such as BigQuery, BigLake, GCS, Vertex AI, Dataflow, Cloud Composer, and Pub/Sub. This role requires strong SQL and Python skills, the ability to work with large datasets, and a strong focus on performance, data quality, and security.</p><br>
<p></p>
<ul><li><b>Role: GCP Data Engineer</b></li>
<li><b>Location: Irving, Texas</b></li>
<li><b>Experience: 10+ Years</b></li>
<li><b>Job Type: Full Time Employment</b></li></ul><br>
<p>
</p><p><b>What You'll Do:</b></p><br>
<p></p>
<ul><li><b>Data Engineering &amp; Pipeline Development</b></li>
<li>Design, build, and maintain ETL/ELT pipelines using GCP services such as:
<ul><li>BigQuery</li>
<li>Dataflow</li>
<li>Cloud Composer</li>
<li>BigLake</li>
<li>GCS</li>
</ul></li><li>Implement real-time streaming solutions using Pub/Sub.</li>
<li>Develop robust, scalable, and secure data processing systems on GCP</li>
<li><b>BigQuery Development &amp; Optimization</b></li>
<li>Design, develop, and optimize data models, transformation logic, and analytical queries in BigQuery.</li>
<li>Improve query efficiency, cost optimization, partitioning, clustering, and data modeling practices.</li>
<li>Work with large datasets to deliver actionable insights.</li>
<li><b>Data Quality, Security &amp; Governance</b></li>
<li>Ensure strong data quality through validation, monitoring, and automated checks.</li>
<li>Implement proper access controls, IAM roles, encryption standards, and GCP data security best practices.</li>
<li>Maintain metadata, lineage, and documentation for all data pipelines.<b>Cross-functional Collaboration</b></li>
<li>Work with analytics, ML, and engineering teams to integrate data into analytical and AI/ML use cases.</li>
<li>Collaborate on model training and data preparation workflows using Vertex AI (experience preferred).</li>
<li>Partner with business teams to understand data needs and translate them into technical solutions.</li></ul><br>
<p>
</p><p><b>Expertise You'll Bring:</b></p><br>
<p></p>
<ul><li>8+ years of experience in ServiceNow solution architecture or enterprise application consulting</li>
<li>Strong cross domain experience with ServiceNow modules and integrations</li>
<li>Deep understanding of ITIL v4, enterprise service management, and digital workflows</li>
<li>Experience leading large, multi domain, global ServiceNow programs</li>
<li><b>Mandatory Certification(s)</b></li>
<li>CSA, 2 CIS (any streams),Advanced domain certs (e.g., ITOM Pro),CAD, CTA or CMA</li></ul><br>
<p>
</p><p><b>Benefits:</b></p><br>
<p></p>
<ul><li>Competitive salary and benefits package</li>
<li>Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications</li>
<li>Opportunity to work with cutting-edge technologies</li>
<li>Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards</li>
<li>Annual health check-ups</li>
<li>Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents</li></ul><br>
<p>
</p><p><b>Values-Driven, People-Centric &amp; Inclusive Work Environment:</b></p><br>
<p></p>
<p>Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.</p><br>
<p></p>
<ul><li>We support hybrid work and flexible hours to fit diverse lifestyles.</li>
<li>Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.</li>
<li>If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment</li></ul><br>
<p>
</p><p><b>Let's unleash your full potential at Persistent - </b><b>persistent.com/careers</b></p><br>
<p></p>
<p><b><i>&quot;Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.&quot;</i></b></p>
</div></div></div></div><div></div><div><div><div><p><b>1</b></p></div><div><div>
Open Positions
</div></div></div></div><div><div><div><p><b>GCP,Big Data,ETL</b></p></div><div><div>
Skills Required
</div></div></div></div><div><div><div><p><b>Irving, TX, USA</b></p></div><div><div>
Location
</div></div></div></div><div><div><div><p><b>GCP,Big Data,ETL,Other,Services,Vertex</b></p></div><div><div>
Desirable Skills
</div></div></div></div><div><div><div><p><b>10 to 12 years</b></p></div><div><div>
Years Of Exp
</div></div></div></div><div><div><div><p><b>170442</b></p></div><div><div>
Job Code</div></div></div></div></div><p></p>

GCP Data Engineer

NTT DATA

<div><b>Req ID:</b> 366622<br>
<br>
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.<br>
<br>
We are currently seeking a <b>Technical Project Manager (FTE/Onsite/USC/GC)</b> to join our team in <b>Irving</b>, <b>Texas (US-TX)</b>, <b>United States (US)</b>.<br>
<br>
<b>Job Duties and Responsibilities:</b><br>
<ul><li>
Brainstorming and planning the project execution and delivery</li><li>
Scheduling and designation of project tasks to team members</li><li>
Execution of each phase of the project</li><li>
Managing the project's budget</li><li>
Communicating with all stakeholders</li><li>
Sound foundational knowledge of infrastructure and architecture</li><li>
Strong knowledge on project management tools Scrum/Agile etc.,</li><li>
Ability to communicate effectively in both technical and non-technical terms</li></ul><br>
<b>
Skills required:
</b><br>
<ul><li>Overall 5+ years of experience.</li><li>
3+ Years of experience in managing the lifecycle for a complex cross functional body of work that has a long-term positive impact on the company</li><li>
2+ Years of experience to establish collaborative and productive relationships with product management, governance, UX design, vendors, and other supporting teams</li><li>
Experience in defining and organizing the program, outline tenets, analyzing data, drive performance improvements and influence resource allocation for all stages of execution (from ideation to delivery)</li></ul><ul><li>
Experience in fostering an environment of engineering excellence and innovation</li><li>
Experience of working closely with development teams to build and launch new products, features, and programs</li><li>
Understand service level agreements (SLA) and how your systems are performing in relation to them</li></ul><br>
<b>
Education:</b><br>
<ul><li>
Bachelor's degree in computer science. strong foundation in areas relevant to AI/ML.</li><li>
PMP Certification Required</li><li>
Familiarity with AI concepts is preferred</li></ul><br>
<b>
#INDFSINS</b><br>
<br>
<b>#LI-NorthAmerica</b><br>
<br>
<b>About NTT DATA</b><br>
<br>
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&amp;D.<br>
<br>
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.<br>
<br>
<b>NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. </b><b>This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.</b></div>

Technical Project Manager (FTE/Onsite/USC/GC)

Wells Fargo

<div><b>About this role:</b><br>
<br>
Wells Fargo is seeking a Principal Quantitative Analytics Specialist to serve as the hands-on architectural authority for reusable GenAI, agentic, and advanced analytics capabilities, operating at enterprise scale while remaining an individual contributor.<br>
<br>
Responsible for re-architecting complex analytics and AI systems into modular, composable, reusable capabilities that materially reduce delivery cycle time and raise the engineering bar across teams. The principal does not merely advise on architecture-they design, prototype, and validate reference implementations that become the foundation for scaled delivery.<br>
<br>
This role sits at a critical inflection point: transforming analytics delivery from bespoke solutions to durable, governed platforms that balance speed, reliability, and regulatory rigor.<br>
<br>
<b>In this role, you will:</b><br>
<br>
<b>Execute Architecture &amp; Re-Architecture</b><ul><li>
Act as a principal architect and execution lead for GenAI and agentic capabilities spanning multiple portfolios.</li><li>
Identify architectural bottlenecks in existing solutions and lead their redesign into modular, reusable components (agents, tools, evaluation modules, guardrails, observability layers).</li><li>
Design and validate reference architectures for agentic workflows, including tool use, orchestration, memory, and failure recovery patterns.</li><li>
Translate architectural intent into working code, templates, and patterns that teams can directly adopt.</li></ul><b>
Ensure Velocity Through Reuse and Platformization</b><ul><li>
Reduce build-to-production cycle time by standardizing abstractions, interfaces, and evaluation pipelines.</li><li>
Establish and evangelize &quot;build once, reuse many&quot; principles across GenAI and advanced analytics use cases.</li><li>
Introduce engineering practices that improve velocity and safety, including:<ul><li>
Contract-driven component interfaces</li><li>
Automated evaluation and regression testing</li><li>
Safe fallback and degradation patterns</li></ul></li></ul><b>
Have Hands-On Technical Leadership</b><ul><li>
Personally design, prototype, and validate agentic and GenAI architectural spikes.</li><li>
Review and challenge system designs and implementations produced by senior engineers and data scientists.</li><li>
Serve as a technical authority on architectural trade-offs, failure modes, and system boundaries, while stopping short of formal people management.</li><li>
Raise organizational capability by teaching through execution, not documentation alone.</li></ul><b>
Ensure Evaluation, Guardrails, and Reliability by Design</b><ul><li>
Define reusable LLM and agent evaluation frameworks covering quality, hallucination, robustness, bias, cost, and latency.</li><li>
Ensure evaluation, monitoring, and failure analysis are first-class architectural components.</li><li>
Anticipate system failure modes and design solutions that fail safely and observably in regulated environments.</li></ul><b>
Support Governance, Risk, and Partnership</b><ul><li>
Partner closely with Technology, Product, and Model Risk to ensure architectures are:<ul><li>
Explainable</li><li>
Auditable</li><li>
Scalable under regulatory scrutiny</li></ul></li><li>
Convert architectural decisions into clear, reusable artifacts that support validation, audit, and reuse.</li><li>
Balance rapid execution with the realities of operating in a highly regulated financial environment.</li></ul><b>
Required Qualifications:</b><ul><li>
10+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li><li>
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science</li></ul><b>
Desired Qualifications:</b><ul><li>
8+ years of experience designing and delivering advanced analytics, ML, or AI systems.</li><li>
Demonstrated experience re-architecting existing systems for modularity, reuse, and speed.</li><li>
Advanced proficiency in Python and modern AI/ML engineering practices.</li><li>
Proven ability to operate as a hands-on architectural authority without formal people management.</li><li>
Experience designing or contributing to internal AI platforms or developer frameworks.</li><li>
Deep exposure to agentic AI systems, LLM evaluation, and reliability engineering.</li><li>
Experience operating in regulated industries.</li><li>
Prior exposure to hyperscale or hyperscale-adjacent engineering practices (strong plus)</li></ul><b>
Job Expectations:</b><ul><li>
This position is not eligible for Visa sponsorship
</li><li>This position offers a hybrid work schedule
</li><li>Specific compliance policies may apply regarding outside activities or personal investing; affected employees will be expected to provide information to the Wells Fargo Personal Account Dealing Team and abide by applicable policy requirements if hired. Information will be shared about expectations during the recruitment process
</li><li>Ability to travel up to 10% of the time
</li><li>#commercialbanking
</li></ul><b>Locations:</b><ul><li>
401 Las Colinas Blvd W - Irving, Texas 75039</li><li>
550 South Tryon Street - Charlotte, North Carolina 28202</li><li>
1525 W W T Harris Blvd - Charlotte, North Carolina 28262</li><li>
600 South 4th Street - Minneapolis, Minnesota 55415</li><li>
333 Market Street - San Francisco, California 94105</li><li>
2700 South Price Road - Chandler, Arizona 85286</li><li>
800 South Jordan Creek Pkwy - West Des Moines, Iowa 50266</li></ul><b>
Pay Range:
</b><br>
<br>
<b>$215,000 - $355,000 USD Annual</b><br>
<br>
<b>Eligible Discretionary Bonus</b><br>
<br>
<b>Pay Range</b><br>
<br>
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.<br>
$215,000.00 - $355,000.00<br>
<b>Benefits
</b><br>
<br>
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.<ul><li>
Health benefits</li><li>
401(k) Plan</li><li>
Paid time off</li><li>
Disability benefits</li><li>
Life insurance, critical illness insurance, and accident insurance</li><li>
Parental leave</li><li>
Critical caregiving leave</li><li>
Discounts and savings</li><li>
Commuter benefits</li><li>
Tuition reimbursement</li><li>
Scholarships for dependent children</li><li>
Adoption reimbursement</li></ul><b>
Posting End Date:</b><br>
8 Apr 2026<br>
<ul><li><b>Job posting may come down early due to volume of applicants.
</b></li></ul><br>
<b>We Value Equal Opportunity</b><br>
<br>
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.<br>
<br>
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.<br>
<br>
<b>Applicants with Disabilities</b><br>
<br>
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .<br>
<br>
<b>Drug and Alcohol Policy</b><br>
<br>
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.<br>
<br>
<b>Wells Fargo Recruitment and Hiring Requirements:</b><br>
<br>
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.<br>
<br>
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</div>

Principal Quantitative Analytics Specialist

Wipro

<div>Job Description<p></p><div><div><ul><li><div><b><br>
</b><br>
</div></li></ul></div></div><div><div><div><div>Job Title: Data Engineer - Python/PySpark
</div></div></div></div><div><div><div><div>City: Irving
</div></div></div></div><div><div><div><div>State/Province: Texas
</div></div></div></div><div><div><div><div>Posting Start Date: 4/2/26
</div></div></div></div><div><div><div><div>Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients&rsquo; most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
</div></div></div></div><div><div><div><div>Job Description:
<div><div><div><h2 class="jobSectionHeader"><b>Job Description
</b></h2></div><div><p>Role: Data Engineer - Python/PySpark
<br>
Location: Tampa, FL (3 Days onsite/week)<br>
</p><div><br>
Job Description:
<br>
Job Requirements*
<br>
<ul><li>3&ndash;6 years of experience as a Data Engineer with strong Python and PySpark expertise
</li><li>Experience building scalable ETL/ELT pipelines in big data environments
</li><li>Strong understanding of KYC/AML and Client Onboarding domains
</li><li>Hands-on experience with Spark, Hadoop, Kafka, and cloud platforms
</li><li>Solid knowledge of SQL and NoSQL databases<br>
</li></ul></div><div><br>
Key Responsibilities* Design, develop, and maintain scalable data pipelines
<br>
<ul><li>Process large volumes of structured and unstructured data
</li><li>Implement KYC/AML data solutions supporting client lifecycle management
</li><li>Optimize Spark jobs for performance and reliability
</li><li>Collaborate with cross-functional agile teams and stakeholders<br>
</li></ul></div></div></div></div></div></div></div></div><p></p><div><div><div><div>Mandatory Skills: Python for Data Science .<br>
<p></p>Experience: 5-8 Years .<br>
<p></p>The expected compensation for this role ranges from $60,000 to $135,000 .<br>
<p></p>Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.<br>
<p></p>Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.<br>
<p></p>Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.<br>
<p></p>Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.</div></div></div></div></div><p></p>

Data Engineer - Python/PySpark

Explore 77+ Director enterprise data science ai python in Irving this April. Find roles across top companies and apply now to boost your career.

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Principal Quantitative Analytics Specialist

Data Engineer - Python/PySpark