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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.
Job Responsibility:
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
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
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
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
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
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