Microsoft is a leading technology company focused on empowering customers through innovative solutions. The Technical Program Manager - AI Graphs will drive the delivery and integration of foundational platforms for AI systems, ensuring they meet operational readiness and deliver measurable improvements.
Responsibilities:
- Drive end to end execution of graph related initiatives across CES scenarios
- Translate graph strategy and technical requirements into integrated delivery plans with clear milestones and dependencies
- Coordinate execution across product, engineering, and CES teams to ensure graph capabilities are implemented consistently and correctly
- Manage technical dependencies across Microsoft IQ platforms, including Fabric IQ, Foundry IQ, and Work IQ
- Ensure graph implementations meet expectations for scale, reliability, observability, and operational readiness
- Establish and track delivery success criteria tied directly to scenario outcomes and product impact
- Identify execution risks early and drive resolution across teams before they impact outcomes
- Partner with stakeholders to ensure graph capabilities are consumable and effective across services
Requirements:
- Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience
- 2+ years of experience managing cross-functional and/or cross-team projects
- Bachelor's Degree AND 8+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience
- 6+ years of experience managing cross-functional and/or cross-team projects, large scale platform delivery, or systems integration
- 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos)
- Demonstrated experience driving execution across multiple teams and organizations
- Ability to manage complex technical dependencies and deliver outcomes in high scale environments
- Experience with platform, data, or AI adjacent systems where foundational correctness matters
- Familiarity with graph, data modeling, or semantic systems at scale
- Proven ability to operate in environments with ambiguity while maintaining delivery rigor
- Proficient communication skills with both engineering and executive audiences