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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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