Amazon.com Services LLC
Technology
SeniorTechnicalProgramManager,CentralLearningSolutions(CLS)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Technical Program Manager, Central Learning Solutions (CLS) at Amazon.com Services LLC. Skills: Technical program management, AI, Data platforms. Drive end-to-end delivery of Learning Intelligence Platform initiatives. Coordinate across Data Engineering, Applied Science, Software Development,”
What You'll Achieve.
Deliver a unified, intelligence-based ecosystem; Consolidate fragmented learning data, systems, and definitions; Enable standardized impact-measurement frameworks; Enable self-service analytics; Enable natural-language data access; Enable predictive insights; Support real-time intelligence; Support long-term scalability
Industry & Context.
Identify and mitigate technical risks; Identify dependencies; Identify blockers
What They're Looking For.
Must Have
5+ years technical program management, 7+ years working with engineering teams, 3+ years software development, 5+ years technical program management with software engineering teams, Manage programs across cross functional teams, Build processes, Coordinate release schedules
Nice to Have
5+ years project management disciplines, Scope management experience, Schedule management experience, Budget management experience, Quality management experience, Risk management experience, Critical path management experience, Manage projects across cross functional teams, Build sustainable processes, Coordinate release schedules
What You'll Do.
Drive end-to-end delivery of Learning Intelligence Platform initiatives
Coordinate across Data Engineering
Implement technical architecture
Coordinate integration strategies
Facilitate alignment across Product Management
Coordinate with Director+ and VP-level stakeholders
Communicate program status
and mitigation strategies
Coordinate development of self-service insights capabilities
Identify and mitigate technical risks
Identify dependencies
Establish operational mechanisms
How You'll Work.
Team & Collaboration
Cross-functional teams; Product Management; Engineering teams; Stakeholder teams; Director+ stakeholders; VP-level stakeholders
Communication Scope
Program status communication; Risk communication; Mitigation strategy communication
Process & Methodology
Scope management, Schedule management, Budget management, Quality management, Risk management, Critical path management
Full Job Description
We are seeking a Senior Technical Program Manager to drive the execution and delivery of Amazon's AI-powered Learning Intelligence Platform. You will coordinate cross-functional teams including Data Engineering, Applied Science, Measurement Science, Software Development, and global Learning teams to deliver a unified, intelligence-based ecosystem that consolidates fragmented learning data, systems, and definitions into a single, governed source of truth. In this role, you will manage complex technical programs that enable standardized impact-measurement frameworks, self-service analytics, natural-language data access, and predictive insights. You will work closely with Product Management, Engineering, and stakeholder teams to ensure successful delivery of platform capabilities that support real-time intelligence and long-term scalability across NA Operations, EU Operations, and corporate functions. Key job responsibilities - Drive end-to-end delivery of Learning Intelligence Platform initiatives, coordinating across Data Engineering, Applied Science, Software Development, Analytics and Operation - Technical architecture implementation: semantic layers, data pipelines, real-time event ingestion, APIs, and metadata governance. Coordinate integration strategies with existing learning systems and siloed systems - Facilitate alignment across Product Management, Engineering, and business stakeholders on program priorities, dependencies, and trade-offs. - Coordinate with Director+ and VP-level stakeholders to communicate program status, risks, and mitigation strategies. - Coordinate development of self-service insights capabilities including natural-language querying, guided workflows, and automated/predictive intelligence. - Identify and mitigate technical risks, dependencies, and blockers across complex, multi-team programs. - Establish operational mechanisms including monitoring, incident response, and continuous improvement processes. About the team You'll be joining a
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