Executive Director, Agentic Product Data Science

Reposted 2 Days Ago
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New York, NY, USA
Hybrid
Expert/Leader
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Leads the strategy, roadmap, and delivery of agentic AI/ML and real-time data products across Chase and JPMorganChase Wealth Management. Manages an Agile solutioning team, incubates reusable data and model products, establishes governance and responsible AI practices, and partners with Technology, Product, Risk, Legal, and business stakeholders. Oversees product lifecycle, prioritization, operationalization, monitoring, and performance while developing a high-performing team of 8 or more members.
Summary Generated by Built In
Ignite your passion for product innovation by leading customer-centric development, inspiring solutions, and shaping the future with your strategic vision and influence. Executive Director, Agentic Product Data Science role in Consumer & Community Banking (CCB) Data & Analytics (reporting to the Head of Real-Time Analytics) leading the enablement and scaling of real-time/streaming data and agentic AI/ML capabilities for product and data science teams across Chase and JPMorganChase Wealth Management. Owns strategy and delivery of agentic, customer-centric real-time use cases; incubates reusable “data/model products”; partners with Technology, Product, Risk/Controls, and AI/ML COEs; and drives faster time-to-market and strong governance. Manages a high-performing team of 8+ and requires strong stakeholder influence, deep Agile/product expertise, and credibility across real-time data and AI/ML. This role requires a senior leader who can align stakeholders across analytics, product, risk, and technology to deliver measurable business value from JPMorganChase’s unique data assets while upholding strong risk management, controls, and responsible AI principles.

As a Product Director Agentic Product Data Science in Consumer & Community Banking (CCB)  Data and Analytics team, you lead innovation through the development of products and features that delight customers. As a leader on the team, you leverage your advanced capabilities to challenge traditional approaches, remove barriers to success, and foster a culture of continuous innovation that helps inspire cross-functional teams create groundbreaking solutions that address customer needs. You will drive the enablement and scaled adoption of agentic AI capabilities (for example:  multi-step AI/ML systems that plan, reason, and act via tools and workflows) for data science and product communities across Chase and JPMorganChase Wealth Management. You will lead an Agile-based solutioning team that builds and operationalizes agentic data science products and the underlying real-time data and model capabilities required to safely deploy AI/ML in production. This role will be central to evolving how we structure, govern, and manage real-time data and AI in the cloud accelerating our ability to deliver customer-centric experiences, decisioning, and insights at scale.
 
 
Consumer & Community Banking (CCB) serves Chase customers through personal banking, credit cards, mortgages, auto financing, investment advice, small business lending, and payment processing. We are proud to lead the United States in credit card sales and deposit growth and have among the most-used digital solutions while ranking first in customer satisfaction. Chase and JPMorganChase Wealth Management Data & Analytics unifies data and analytics talent to responsibly leverage data to build competitive advantages for our businesses while delivering value and protection for customers. The organization spans data governance and strategy, reporting, data science and machine learning, and transformation across Sales and Marketing. We partner closely with Technology teams that provide cutting-edge data and analytics infrastructure and joining Data & Analytics places you at the engine that powers customer and business outcomes with insights, with strong learning and mobility opportunities.

 
Job responsibilities
  • Oversees the product roadmap, vision, development, execution, risk management, and business growth targets
  • Leads the entire product life cycle through planning, execution, and future development by continuously adapting, developing new products and methodologies, managing risks, and achieving business targets like cost, features, reusability, and reliability to support growth
  • Coaches and mentors the product team on best practices, such as solution generation, market research, storyboarding, mind-mapping, prototyping methods, product adoption strategies, and product delivery, enabling them to effectively deliver on objectives
  • Owns product performance and is accountable for investing in enhancements to achieve business objectives
  • Monitors market trends, conducts competitive analysis, and identifies opportunities for product differentiation
  • Own and execute the agentic product data science strategy for real-time analytics enablement across Chase and JPMorganChase Wealth Management, including a roadmap of prioritized agentic use cases and platform capabilities. Lead the Agile solutioning team responsible for delivering end to end agentic AI/ML use cases (from discovery and experimentation through production launch, monitoring, and iteration).
  • Design and incubate strategic data and model assets that can be productionalized and managed as reusable “data products” and “model/agent products” (for example:  feature stores, streaming features, decision services, agent components, evaluation suites). Solution real-time agentic AI/ML use cases in partnership with modeling teams and AI/ML Centers of Excellence, ensuring designs are performant, resilient, and fit for regulated environments.
  • Establish and scale best practices for agentic systems, including: evaluation and quality measurement, experimentation, safety/guardrails, human-in-the-loop controls, monitoring, drift detection, and incident response in real-time contexts.
  • Accelerate speed-to-market by improving the operating model for agentic product delivery streamlining intake, requirements, backlog practices, architecture patterns, and release governance. Partner cross-functionally with Technology, Product, Risk, Controls, Legal/Compliance (as applicable), and Business stakeholders to build shared alignment on outcomes, constraints, and sequencing.
  • Present findings, trade-offs, and recommendations to senior leaders, translating complex technical concepts (agentic workflows, streaming architectures, model risk, evaluation) into crisp decisions and business impact.
  • Manage and develop a diverse, high-performing team of 8+  team members, including coaching, talent development, hiring, and fostering an inclusive and high-integrity culture.
 
Required qualifications, capabilities, and skills
  • 8+ years of experience or equivalent expertise delivering products, projects, or technology applications
  • Extensive knowledge of the product development life cycle, technical design, and data analytics
  • Proven ability to influence the adoption of key product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
  • Experience driving change within organizations and managing stakeholders across multiple functions
  • Demonstrated ability to combine business acumen with strong communication, particularly in articulating complex technical topics to executive and non-technical audiences. Strong technical ability to understand, design, and explain complex real-time data strategies and agentic AI/ML product architectures to both business partners and technical teams.
  • Experience in data science, analytics, AI/ML, or related consulting, with evidence of delivering measurable impact in production environments. Fluency in highly technical concepts and practices, with the credibility to earn respect from engineers and influence architecture and implementation decisions.
  • Practical understanding of data science tools and concepts, including experience enabling data science teams (platform/enablement) and/or delivering data science products/use cases. Understanding of analytics and AI/ML in streaming/real-time contexts, including operational considerations (latency, reliability, observability, model monitoring).
  • 10+ years of deep expertise in Agile delivery and product management best practices, particularly in transformation environments. Track record of influencing key stakeholders to define workflows, decision rights, and guidelines and manage decisions throughout the delivery lifecycle.
  • Experience building and managing a product backlog, prioritizing to achieve OKRs, and maintaining alignment to applicable risk management and compliance standards.
  • Strong problem solving and analytical skills, with the ability to synthesize and communicate insights to peers and senior leaders. Superior stakeholder management skills across diverse functions and seniority levels. Inspiring team leadership and interpersonal skills, emphasizing transparency, teamwork, high standards, and integrity.
 
Preferred qualifications, capabilities, and skills
  • Recognized thought leader within a related field
  • Familiarity with AWS/cloud technologies and best practices (plus).
About Us

Chase is a leading financial services firm, helping nearly half of America’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’ 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.

Equal Opportunity Employer/Disability/Veterans

About the Team
Our Consumer & 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’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Skills Required

  • 8+ years of experience or equivalent expertise delivering products, projects, or technology applications
  • Extensive knowledge of product development life cycles, technical design, and data analytics
  • Experience influencing product lifecycle activities, including discovery, ideation, strategic development, requirements definition, and value management
  • Experience driving organizational change and managing stakeholders across multiple functions
  • Strong business acumen and communication skills, including explaining complex technical topics to executive and non-technical audiences
  • Technical ability to understand, design, and explain real-time data strategies and agentic AI/ML product architectures
  • Experience in data science, analytics, AI/ML, or related consulting, with measurable production impact
  • Understanding of data science tools and concepts, data science enablement, and data science products or use cases
  • Understanding of streaming or real-time analytics, including latency, reliability, observability, and model monitoring
  • 10+ years of deep expertise in Agile delivery and product management best practices
  • Experience building and managing product backlogs, prioritizing OKRs, and aligning with risk management and compliance standards
  • Strong problem-solving, analytical, stakeholder management, team leadership, and interpersonal skills
  • Recognized thought leader in a related field
  • Familiarity with AWS, cloud technologies, and cloud best practices

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
  • Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
  • Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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