JPMorgan Chase—Product Director, Metrics (Product Agility Tools)

Job description

Description: Role Overview As a Product Director for the Metrics product area, you will own the strategy and execution for an internally developed enterprise-wide product suite that serves as the backbone for how JPMorgan Chase measures the health and effectiveness of its products and cross-functional agile delivery teams. Your platform encompasses the systems-of-record that provide executive-to-team visibility into delivery performance and organizational health. You will partner closely with engineering, design, data science, customer success, and business leaders to deliver best-in-class analytics solutions that drive measurable value. A critical dimension of this role is leading the agentic transformation of the Metrics product area: leveraging agentic tools to accelerate your team's product development lifecycle (PDLC), while simultaneously building next-generation AI features and capabilities for your users. We're looking for a senior leader who combines deep product management expertise with a forward-leaning perspective on AI and agentic tooling. You should be someone who can translate complex organizational data into actionable insights and who sees AI not just as a feature set, but as a fundamental accelerant for how products are built and consumed. The core of your role is driving product excellence, data quality, and operational impact across the organization. Key Responsibilities - Set Product Vision & Strategy: Define and communicate a bold product vision and roadmap for the Metrics product area. Define and align the feature roadmap with organizational objectives, with a clear through-line to JPMC's agentic transformation strategy. - Measure Success: Establish, track, and continuously refine Objectives and Key Results (OKRs) for the Metrics product area to ensure product initiatives deliver measurable impact, drive alignment across teams, and support ongoing improvement. - Lead Cross-Functional Teams: Inspire and guide cross-functional teams of product managers, UI/UX designers, software engineers, and data scientists to deliver innovative analytics solutions at scale, spanning APIs, data pipelines, modern web interfaces, and AI-powered experiences. - Drive Agile Execution: Champion agile methodologies, ensuring effective prioritization, sprint planning, and delivery of high-value experiences. Model the same agile discipline your products measure. - Stakeholder Engagement: Build strong relationships with senior executives, delivery leads, engineering leaders, Line of Business Product & Technology leaders, and control functions who depend on these platforms for quarterly business reviews, capacity planning, and organizational health assessments. - Customer-Centric Innovation: Collaborate with UX research and customer success functions to identify pain points and opportunities. Translate insights into actionable product enhancements that surface the "so what" behind the metrics. - Operational Excellence: Oversee backlog health, testing, production readiness, and continuous improvement of product development processes. Ensure platform reliability for a user base that depends on these metrics for executive decision-making. - Mentor & Develop Talent: Build and nurture a high-performing product management team, fostering a culture of innovation, ownership, and growth. Required Qualifications - 8+ years of product management experience, including leadership of complex, cross-functional initiatives; bachelor's degree preferred. - Proven track record of delivering enterprise-scale data, analytics, or business intelligence products in a fast-paced, matrixed environment. - Deep familiarity with agile delivery metrics and frameworks (e.g., Scrum, Kanban, etc.). Not just as a practitioner, but as someone who understands how to measure and improve them at organizational scale. - Demonstrated hands-on experience with AI/agentic tools (e.g., GitHub Copilot, Claude Code) to accelerate product development workflows. - Strong problem-solving skills and a strategic, ownership mindset with the ability to translate ambiguous business needs into clear product direction. - Exceptional communication and executive presence, with the ability to influence at all levels, from teams to C-suite-level stakeholders. - Proficiency with product management, data and analytics tools (e.g., Jira, Adobe Analytics, Figma, Qualtrics, Databricks). - Commitment and self-motivation suitable to a startup-pace team operating within a large financial institution. Preferred Qualifications - Experience building internal, multi-tenant enterprise platforms. - Background in data products, data pipelines, or analytics platforms. Comfort with concepts like data aggregation, ETL, caching strategies, and API-driven architectures. - Familiarity with modern tech stacks (microservices, event-driven architectures, cloud-native platforms) sufficient to engage credibly with engineering teams. - Experience with cohort analysis, benchmarking methodologies, or statistical process control in a product context.