Amazon.com Services LLC
Technology
TechnicalProgramManager,AmazonMusic
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Technical Program Manager, Amazon Music at Amazon.com Services LLC. Skills: Data Quality, GenAI initiatives, Data modeling. Own Data Quality program. Set Data Quality strategy”
What You'll Achieve.
Improve data reliability; Improve data accuracy; Improve data usability; Simplify event models; Simplify data models; Increase data value; Accelerate delivery; Reduce operational overhead
Industry & Context.
Root cause analysis; Identify risks; Remove blockers
What They're Looking For.
Must Have
3+ years technical program management, 2+ years software development, 3+ years project management disciplines, Experience managing cross functional teams, Experience building system-level technical design, Experience developing product roadmaps
Nice to Have
3+ years working with engineering teams
What You'll Do.
Own Data Quality program
Set Data Quality strategy
Run quarterly business reviews
Hold weekly progress reviews
Own Data Quality goals
Deep dive data quality issues
Drive systemic improvements
Lead GenAI initiatives
Improve data quality testing
Improve data attribution
Improve data generation
Drive event model simplification
Drive data model simplification
Work with data producers
Work with data consumers
Lead operational excellence improvements
Identify GenAI opportunities
Implement GenAI opportunities
Accelerate delivery with GenAI
Reduce operational overhead with GenAI
Lead cross-org programs
Drive technical alignment
Drive program execution
Build consensus across organizations
Collaborate with stakeholders
Drive program execution
Write effective narratives
Present program updates
Present program risks
Present program recommendations
Define program roadmaps
Manage program milestones
Identify strategic opportunities
How You'll Work.
Team & Collaboration
Cross-functional teams; Data producers; Data consumers; Central Amazon teams; Engineering teams; Product teams
Communication Scope
Present program updates; Write narratives
Process & Methodology
Scope management, Schedule management, Budget management, Quality management, Risk management, Critical path management, Roadmap planning
Full Job Description
We are seeking an ambitious Technical Program Manager to join our Metrics and Data Platform team at Amazon Music. The Metrics and Data Platform team plays a central role in enabling Amazon Music's business decisions and data-driven software development by processing billions of streaming events and delivering the behavioral and operational metrics that teams across Music, Prime, and Retail depend on every day. We maintain a scalable and robust data platform to support Amazon Music's business operations and growth, and collaborate closely with data producers and data consumers to accelerate innovation using data. As a Technical Program Manager, you will own and drive multiple high-impact programs across Amazon Music. You will lead the Data Quality program, setting strategy, managing cross-functional relationships, and delivering a portfolio of initiatives that improve the reliability, accuracy, and usability of Amazon Music's data at scale. You will also lead efforts to simplify our event and data models across the business and drive operational excellence improvements across the Music organization. You will build consensus across stakeholders, drive key decisions, and proactively identify and mitigate risks to keep programs on track. A successful candidate will be customer obsessed, highly analytical, adept at managing multiple complex programs simultaneously across a data-heavy organization, and energized by the opportunity to shape how an entire organization uses data. Key job responsibilities - Owning the Data Quality program end-to-end, including setting overall strategy, running quarterly business reviews, holding weekly reviews to track progress, and owning the Data Quality goals for 2026 and beyond - Deep diving complex data quality issues across the business, identifying root causes, and driving systemic improvements to reduce recurrence - Leading GenAI initiatives to improve data quality, through improved testing, better data attribution, and more - Driving
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