Applied AI & Data Product Scientist

This is a rare opportunity to sit at the intersection of artificial intelligence and Finance transformation — not just supporting the strategy, but building it with your own hands. You'll architect the next generation of Artificial Intelligence-driven analytics and decision-support products for one of the world's leading asset and wealth management businesses. If you thrive on shipping products that stay ahead of the curve and solving the hardest data problems in the room, this role was designed for you.

Join a team where your code, your models, and your ideas directly shape how Finance leaders make decisions. The impact here is tangible, visible, and yours to own.

As a Vice President – Applied Artificial Intelligence and Data Product Scientist in the Finance Transformation and Analytics team within Asset and Wealth Management Finance, you will be an individual contributor who spends roughly 60% of your time hands-on building and 40% shaping strategy, roadmaps, and best practices. You will own two complementary mandates: first, researching, prototyping, and hardening next-generation AI capabilities so they are production-ready before the current product cycle completes; and second, diagnosing and fixing the structural data problems that undermine both AI and traditional reporting products.

You will partner closely with Finance stakeholders, data engineering, and platform teams, but your primary value is building — writing code, training models, designing data architectures, and delivering working products that move measurably faster than the problems they solve.

• Lead research and rapid prototyping of emerging AI capabilities — including

agentic workflows, multi-agent orchestration, retrieval-augmented generation, and advanced forecasting — converting validated proofs of concept into production-grade products on a defined timeline

• Maintain a rolling 6–12 month innovation pipeline by identifying, evaluating,

and experimenting with new models, frameworks, and techniques so the team always has a next release in development

• Architect, build, and scale large language model agents and AI-driven

solutions for Finance workflows, integrating with APIs, microservices, reporting tools, and cloud platforms

• Design evaluation harnesses, guardrails, and human-in-the-loop review

• 8 years of experience in data science, AI/ML, analytics, or product

• Experience building multi-agent systems, autonomous workflows, or task

• Translate model outputs into user-friendly insights, analytics, and

• Audit and remediate data quality and lineage gaps across reporting and

analytics products so all downstream consumers work from a single source of truth

• Define and implement a data catalogue strategy by inventorying existing

assets, consolidating duplicative pipeline logic, standardizing metric definitions, and establishing clear data contracts

• Architect curated and semantic data layers that are consistent, trusted, and

• Establish data observability practices including monitoring, alerting, and

• Define and own a forward-looking AI and data roadmap aligned to Finance

• Design experimentation and measurement frameworks to quantify the business

impact of AI products and data quality improvements, and communicate roadmap, trade-offs, and results to senior leaders through clear narratives and data-driven recommendations

• Hands-on experience with large language models including prompt engineering,

retrieval-augmented generation, function and tool calling, embeddings, vector stores, and evaluation frameworks

• Strong Python and SQL fluency with experience building and operating

• Practical expertise with cloud data platforms such as AWS, Snowflake, or

• Demonstrated ability to take AI or generative AI solutions from concept

• Experience diagnosing and fixing data quality, lineage, and governance

• Understanding of Finance functions such as financial planning and analysis,

management reporting, forecasting, and key performance indicator frameworks within asset management, wealth management, or comparable financial services

• Proficiency in applied statistics and experimentation design with the ability

to measure business impact and communicate findings to non-technical audiences

• Bachelor's degree in Computer Science, Engineering, Data Science,

Mathematics, Statistics, Finance, or a related quantitative field

• Hands-on experience building generative AI products with guardrails,

evaluation harnesses, and human-in-the-loop review grounded in approved internal sources

• Experience designing and governing semantic layers, metric stores, and data

observability frameworks that support both business intelligence and AI consumption

• Track record of designing and operationalizing experimentation programs

including A/B testing and causal measurement to quantify product and data initiatives

• Knowledge of model safety, bias mitigation, privacy techniques, and AI

• Familiarity with modern business intelligence and visualization tools such as

• Prior experience in a Finance transformation or technology function

supporting front office or investment management

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.

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.

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.