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Job description
Join the Global Services Insights & Analytics team and help transform data into actionable insights. You will collaborate with senior leaders and cross-functional partners to improve operational performance, efficiency, service, and controls. This role offers the opportunity to lead high-impact generative artificial intelligence solutions across financial services use cases while helping deliver reliable, scalable, and governed capabilities.
As a Vice President, Data Scientist Lead in the Global Services Insights & Analytics team, you will lead data-driven initiatives that enhance planning, efficiency, service, and controls within Commercial Banking. You will design and deliver large language model-powered solutions across high-impact use cases, including content extraction, enterprise search and question answering, reasoning, summarization, and recommendations. You will partner closely with engineering and product teams to deploy reliable, scalable, and governed generative artificial intelligence capabilities using Amazon Bedrock and Cortex platforms. Your work will emphasize evaluation, guardrails, and production-grade machine learning operations.
Job Responsibilities
Develop and deliver generative artificial intelligence and large language model solutions for content extraction, semantic search, question answering, summarization, reasoning, and recommendation use cases
Design, deploy, and manage prompt-based and retrieval-augmented generation systems, including orchestration patterns and agentic workflows such as tool use, structured outputs, and multi-step reasoning
Build evaluation and testing frameworks to measure accuracy, faithfulness, robustness, latency, and cost, including red-teaming and safety checks where applicable
Leverage Amazon Bedrock to prototype and productionize large language model applications, including model selection, prompt templates, routing, and deployment patterns
Work hands-on with Cortex, including Cortex Analyst, to enable governed analytics experiences and generative artificial intelligence-assisted workflows
Apply hands-on experience in environments such as Amazon Bedrock, Amazon SageMaker, or Databricks
Collaborate with engineering teams to deliver scalable services, including application programming interfaces, batch jobs, and pipelines, while ensuring strong software engineering discipline and operational readiness
Build and maintain data pipelines for structured and unstructured data, enabling retrieval, indexing, and preprocessing for large language model applications
Conduct applied research by studying scientific articles and current techniques in prompting, fine-tuning, evaluation, and agent design, then translating them into practical improvements
Communicate clearly with technical and non-technical stakeholders by translating business needs into measurable problem statements, solution designs, and success metrics
Mentor junior data scientists, influence standards, and drive adoption of responsible artificial intelligence practices
Required Qualifications, Capabilities, and Skills
Advances degree in Data Science, Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience
5+ years of applied experience building machine learning or natural language processing solutions, including production deployment in a fast-paced environment
Experience with natural language processing and large language models, including prompt engineering, retrieval-augmented generation, and evaluation methodologies
Hands-on experience with Amazon Bedrock or an equivalent managed large language model platform for building and deploying generative artificial intelligence solutions
Experience with Cortex, including Cortex Analyst or related workflows, in an enterprise setting
Strong Python skills and familiarity with machine learning or deep learning frameworks such as PyTorch or TensorFlow, and standard machine learning tooling such as pandas, NumPy, and scikit-learn
Experience building application programming interfaces and integrating large language model or natural language processing solutions into applications and services
Experience building data pipelines for structured and unstructured data processing, with understanding of embeddings, vector search, indexing, and retrieval patterns
Experience with software engineering practices, including Git or version control, code quality, testing, and continuous integration and continuous delivery fundamentals
Strong communication and stakeholder management skills with the ability to present tradeoffs, risks, and results concisely
Strong analytical skills and working knowledge of financial services, markets, or asset management concepts
Preferred Qualifications, Capabilities, and Skills
Deep understanding of large language model techniques, including agents, planning, reasoning, and related methods
Experience with machine learning operations, including experiment tracking, model registry, monitoring, drift and performance tracking, incident management, and rollback
Experience with cloud deployment patterns, preferably Amazon Web Services, and production runtime environments such as containers or orchestration platforms
To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT).
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’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.
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.
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’ and employees’ 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 & Co. is an Equal Opportunity Employer, including Disability/Veterans
J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Lead data science and generative AI solutions that improve planning, efficiency, service, and controls.
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Worksite address
plano, TX, 75086, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.