JP Morgan Chase

Runs a consumer bank and an investment bank

Executive Director - Agentic Product Data Science

Technical Product ManagementConfirmed live in the last 24 hours

Full-timeNew York, NY, USA$180.5k - $285kIn-person

About the Job

Requirements

At least 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.
Ability to influence adoption of product life cycle activities, including discovery, ideation, strategic development, requirements definition, and value management.
Experience driving organizational change and managing stakeholders across multiple functions.
Ability to combine business acumen with strong communication and articulate complex technical topics to executive and non-technical audiences.
Strong technical ability to understand, design, and explain complex real-time data strategies and agentic artificial intelligence and machine learning product architectures to business partners and technical teams.
Experience in data science, analytics, artificial intelligence and machine learning, or related consulting, with evidence of delivering measurable impact in production environments.
Fluency in highly technical concepts and practices, with 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 through platform or enablement work and/or delivering data science products or use cases.
Understanding of analytics and artificial intelligence and machine learning in streaming and real-time contexts, including latency, reliability, observability, and model monitoring.
At least 10 years of deep expertise in Agile delivery and product management best practices, particularly in transformation environments.
Track record of influencing 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 objectives and key results, and maintaining alignment with 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.

Responsibilities

Oversee the product roadmap, vision, development, execution, risk management, and business growth targets.
Lead the entire product life cycle through planning, execution, and future development by adapting continuously, developing products and methodologies, managing risks, and achieving business targets for cost, features, reusability, and reliability.
Coach and mentor the product team on solution generation, market research, storyboarding, mind-mapping, prototyping methods, product adoption strategies, and product delivery.
Own product performance and invest in enhancements to achieve business objectives.
Monitor market trends, conduct competitive analysis, and identify 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 delivering end-to-end agentic artificial intelligence and machine learning use cases, from discovery and experimentation through production launch, monitoring, and iteration.
Design and incubate strategic data and model assets that can be productionized and managed as reusable data products and model or agent products, such as feature stores, streaming features, decision services, agent components, and evaluation suites.
Develop real-time agentic artificial intelligence and machine learning use cases with modeling teams and AI/ML Centers of Excellence, ensuring designs are performant, resilient, and suitable 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 time to market by improving the operating model for agentic product delivery, including intake, requirements, backlog practices, architecture patterns, and release governance.
Partner with Technology, Product, Risk, Controls, Legal/Compliance as applicable, and business stakeholders to align on outcomes, constraints, and sequencing.
Present findings, trade-offs, and recommendations to senior leaders, translating technical concepts into decisions and business impact.
Manage and develop a diverse, high-performing team of 8 or more, including coaching, talent development, hiring, and fostering an inclusive and high-integrity culture.

Desired Qualifications

Recognized thought leader within a related field.
Familiarity with AWS and cloud technologies and best practices.

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).

Base Pay/Salary: New York,NY $180,500.00-$285,000.00

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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