Data Infrastructure & Governance Analyst

Microsoft•Redmond, WA

About The Position

We're seeking a Data Infrastructure & Governance Analyst, a high‑impact individual contributor within the AI Strategy and Business Innovation (AISBI) organization supporting Microsoft’s AI Acceleration Program. You will lead and drive high‑priority programs that enable teams across Microsoft to build, deploy, and scale AI responsibly. Rather than managing people, you’ll manage complex workstreams and bring clarity to ambiguous data challenges. You will work across engineering, analytics, finance, and business operations to ensure data infrastructure, governance standards, and quality practices enable accelerated AI adoption while meeting enterprise governance and Responsible AI requirements. If you thrive in cross‑functional environments and want to play a hands-on role in accelerating AI adoption, apply today! About the Team: This role sits within Customer Experience & Success (CE&S), a global organization with more than 45,000 employees and partners worldwide who are dedicated to helping customers realize meaningful business value from Microsoft’s products and services. CE&S brings together consulting, customer success, and support to deliver experiences that are human‑centered, digitally enabled, and deeply connected across the company. Within CE&S, the Global Customer Success (GCS) organization is leading the effort to enable customer success on the Microsoft Cloud by combining AI-powered capabilities and human expertise to deliver innovated solutions that accelerate business value, drive operational excellence, and nurture long-term loyalty. The AI Acceleration Program sits at the heart of this work—helping the Customer Success organization move faster from AI experimentation to enterprise‑wide impact. The Data Infrastructure & Governance Analyst exists to enable accelerated AI adoption while aligning enterprise governance and Responsible AI expectations. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

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.

Nice To Haves

Understanding of data management concepts including data quality, metadata, lineage, and data lifecycle management.
Demonstrated understanding of data governance and data quality fundamentals.
Effective analytical and problem-solving skills with the ability to work across technical and business teams.
Experience supporting AI, analytics, or advanced reporting solutions.
Familiarity with enterprise data platforms, data catalogs, and governance tools.
Knowledge of Responsible AI, data privacy, and security principles.
Experience working cross-functionally in a large, matrixed organization.
Executive-ready communication skills with the ability to communicate insights clearly to leaders.
High attention to detail, with rigor in documentation, metadata accuracy, and maintaining reliable records.

Responsibilities

Data Infrastructure Enablement
Partner with data engineering and platform teams to support scalable, reliable data pipelines and analytical infrastructure for AI workloads.
Ensure data sources used by AI models and analytics platforms are properly documented, discoverable, and fit-for-purpose.
Contribute to standardization of data assets, metadata, and schemas to support reuse across AI initiatives.
Data Governance & Quality
Implement and support data governance standards, policies, and controls across AI Acceleration use cases.
Partner with Data Owners and Data Stewards to define data quality rules, metrics, and monitoring processes.
Support metadata management, data catalogs, lineage, and classification to improve transparency and trust in data.
Assist with compliance activities related to privacy, security, retention, and Responsible AI data usage.
AI Acceleration Program Support
Enable AI scenarios by ensuring approved, high-quality data is available for model training, inference, and evaluation.
Support data readiness assessments for AI initiatives, identifying risks and remediation actions early.
Partner with analytics and AI teams to understand data requirements and translate them into governance and infrastructure actions.
Insights, Reporting & Continuous Improvement
Track and report data quality, governance adoption, and data readiness metrics for AI programs.
Identify process gaps and inefficiencies in data onboarding, access, and governance workflows.
Drive continuous improvement by recommending automation and process improvements that reduce manual effort and risk.