Product Manager - Corporate Technology Operations

JPMorgan Chase & Co.•Chicago, IL

About The Position

As a Product Manager in Corporate Technology Operations, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations. You will serve as the voice of the customer, own and refine the product backlog, and partner closely with engineering to deliver high-quality outcomes. You will also lead the elicitation and validation of business requirements and apply analytics across diverse datasets. Hands-on ownership of executive dashboards and conversational analytics is essential. You will highlight the right KPIs, enable intuitive drilldowns, and craft clear narratives that support decision-making—with a strong focus on clarity, signal-to-noise ratio, and actionability.

Requirements

5+ years of experience or equivalent expertise in product management or a relevant domain area
Advanced knowledge of the product development life cycle, design, and data analytics
Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
Executive Dashboarding and Conversational Analytics: Lead the lifecycle of dashboarding and executive reporting products— standardize metric definitions, ensure data quality and reliability, and deliver intuitive visualizations; manage change control and adoption with senior stakeholders
Advanced knowledge of the product development lifecycle and requirements engineering; proven leadership across discovery, ideation, strategic development, requirements definition, and value management
Proficiency in backlog ownership, prioritization frameworks (e.g., RICE, WSJF), and writing high-quality user stories and acceptance criteria
Experience working with data products, including semantic/metric layer design, data contracts and governance, quality and lineage
Hands-on experience with AI-powered conversational product workflows and interfaces such as Databricks Genie spaces
Analytical skills: proficiency in data analysis using SQL, Excel, RStudio or BI tools applied to diverse datasets

Nice To Haves

Demonstrated prior experience working in a highly matrixed, complex organization
Discovery and research: working knowledge of discovery best practices to uncover problems and opportunities; synthesize customer, stakeholder, and data insights into epics, features, and iterations that maximize value
Stakeholder management and communication; ability to influence across product, engineering, data, design, risk/control, and operations in a complex, matrixed organization
Experience with enterprise data platforms and pipelines (e.g., data lake/lakehouse, data mesh, streaming), and familiarity with data governance, lineage, and privacy/compliance in largescale environments
Working knowledge of one or more of the following: Jira or Azure DevOps, Confluence, SQL and/or BI platforms (e.g., Tableau)

Responsibilities

Develops a product strategy and product vision that delivers value to customers
Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition
Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
Product strategy and vision: Define and communicate a customer-centric vision and outcome-driven roadmap for an enterprise-wide Corporate Technology product; align priorities across a highly matrixed environment
Backlog ownership and delivery enablement: own, maintain, and prioritize the product backlog; write clear, testable user stories and acceptance criteria; lead refinement, sprint planning, and release planning with engineering and UX
Requirements and solution design: Lead the elicitation, documentation, and validation of business requirements; create process and data flow diagrams, and specifications
Data-driven decisioning: Utilize analytics to extract insights from large, heterogeneous datasets; quantify problem size, expected value, and success criteria; partner with UX/Design to feed insights into the roadmap
UAT and quality: Translate requirements into acceptance tests; support UAT planning and execution; triage defects; drive continuous improvement to reduce rework and production issues.