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Closed on July 5, 2026.
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Product Manager VP - AWS Data Infrastructure Services
AWS
Aws Glue
Cloud
Cloud Platform
Data Analytics
Data Lake
Data Platform
Data Warehouse
Databricks
Product Management
Product Manager
Product Strategy
Project Management
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Job Description
Senior Product Manager VP responsible for AWS Data Analytics Services product strategy and lifecycle at JPMorganChase, onsite in New York, NY, with a salary range of USD 122,550 - 201,000 per year.
Responsibilities
- Define and communicate a product strategy and vision that delivers value to customers.
- Lead discovery efforts and market research to identify customer needs and translate them into the product roadmap.
- Manage and prioritize the product backlog to support the overall strategic roadmap and value proposition.
- Establish and monitor key success metrics such as cost, feature coverage, risk posture, and reliability.
- Serve as the subject matter expert for Data and AI/ML technologies, with emphasis on AWS Analytics Services (Athena, Glue, Lake Formation, Redshift), providing guidance to internal teams and customers.
- Coordinate cross-functional collaboration with project management discipline to keep the product team cohesive and focused on benefits.
- Continuously refine the backlog by defining detailed requirements, precise specifications, and prioritizing features based on customer impact, business value, and engineering supportability.
- Collaborate with Product Marketing, Client Engagement, and Solutions Architecture to craft go-to-market plans and support product launches.
Requirements
- 5+ years of experience in product management or a related discipline.
- Advanced knowledge of the product development lifecycle, product design processes, and data analytics.
- Proven ability to lead end-to-end product lifecycle activities from discovery and ideation through requirements definition and value management.
- Professional experience with AWS Analytics Services such as Athena, EMR, Glue, Lake Formation, and Redshift.
- Familiarity with GenAI use cases including LLM, RAG, Model Context Protocol, Agents, and AI Gateway.
- Excellent organizational, communication, and collaboration skills, with a track record of influencing across engineering, business, and executive stakeholders.
- Ability to manage multiple projects and priorities in a fast-paced, ambiguous environment.
- Experience with agile development methodologies and tools.
Technologies
- Athena
- EMR
- Glue
- Lake Formation
- Redshift
- Snowflake
- Starburst
- Databricks
Benefits
- comprehensive health care coverage
- on-site health and wellness centers
- a retirement savings plan
- backup childcare
- tuition reimbursement
- mental health support
- financial coaching
Preferred Qualifications, Capabilities, and Skills
- Demonstrated experience in a highly matrixed, complex organization
- Strong experience with Snowflake, Starburst, Databricks, or similar cloud-based data analytics platforms
- Strong business acumen and the ability to translate technical capabilities into business value
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