Executive Director, Agentic Product Data Science

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).