Partner with AWS service teams to design solutions that work within and extend their capabilities
Define and track program metrics and drive measurable improvements
Identify technical risks in system designs and ensure current implementations do not block future architectural evolution
Create clarity and structure in high-ambiguity domains where governance requirements, technical constraints, and customer experience must be balanced simultaneously
Influence engineering architecture decisions and drive technical trade-offs across teams without direct authority
Communicate program status, risks, and decisions effectively to senior leadership
A day in the life
We own the fine-grained access control system that governs every analytical query across Amazon's data lake: policy definition, access requests, approval workflows, permission enforcement, and renewal. We're building toward self-service governance where data owners control their own access policies without bottlenecks, and pioneering access controls for AI and multi-modal data (images, video, audio, ML artifacts), a space with no industry playbook.
Why this role is compelling
High ambiguity: we're defining new governance primitives, not just implementing specs
Every improvement directly impacts hundreds of thousands of data consumers or strengthens Amazon's security posture
Cross-cutting influence: you'll partner with Privacy, InfoSec, Legal, and every SDO data team
The problems are genuinely hard: balancing security with usability, scaling fine-grained controls without drowning consumers in friction, designing abstractions that hold across column-based, row-based, and identity-resolved policies
You'll shape the roadmap, not just execute it
About the team
We own the fine-grained access control system that governs every analytical query across Amazon's data lake: policy definition, access requests, approval workflows, permission enforcement, and renewal. We're building toward self-service governance where data owners control their own access policies without bottlenecks, and pioneering access controls for AI and multi-modal data (images, video, audio, ML artifacts), a space with no industry playbook.
7+ years of working directly with engineering teams experience
5+ years of technical product or program management experience
3+ years of software development experience
5+ years of technical program management working directly with software engineering teams experience
Experience managing programs across cross functional teams, building processes and coordinating release schedules
5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership
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