Senior Product Manager - AI-Driven Finance Data Governance

Amazon

Bellevue (WA)

On-site

USD 151,000 - 205,000

Full time

45 hours ago
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Benefits offered by this job

RSUs
Health benefits

Job summary

Amazon.com Services LLC in Bellevue, WA seeks a Senior Product Manager-Technical to lead vision, roadmap and execution for data governance and data consumption for finance routines. You will drive prioritization, stakeholder alignment, and a unified roadmap across data platforms powering Amazon Stores Finance.

You’ll partner with data governance and finance teams to deliver scalable processes, AI-enabled data management, and measurable outcomes like faster data delivery and improved financial

Qualifications

  • 5+ years of technical product or program management experience.
  • Bachelor's degree required.
  • Experience owning/driving roadmap strategy and definition.
  • Experience with feature delivery and tradeoffs of a product.
  • Experience contributing to engineering discussions around technology decisions and strategy.

Responsibilities

  • Be the ultimate owner of the product vision, strategy and execution across data governance and data consumption layers.
  • Champion AI application to data management and governance, creating trusted datasets and metrics for finance.
  • Define how finance routines consume governed data with bridging and drill-down capabilities.
  • Recruit customers as advisors and keep stakeholders aligned through scalable reviews and dashboards.

Skills

Product leadership
Roadmap strategy
Engineering collaboration
Feature delivery
Stakeholder management

Education

Bachelor's degree

Job description

Amazon.com Services LLC in Bellevue, WA seeks a Senior Product Manager-Technical to lead vision, roadmap and execution for data governance and data consumption for finance routines. You will drive prioritization, stakeholder alignment, and a unified roadmap across data platforms powering Amazon Stores Finance.

You’ll partner with data governance and finance teams to deliver scalable processes, AI-enabled data management, and measurable outcomes like faster data delivery and improved financial

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