| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$119,800–$234,700 / yr
Posted
56 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $181k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 59% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $177k versus about $181k for comparable roles.

Based on 238 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 1103 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 985 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

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As a Data Infrastructure & Governance Analyst within Microsoft’s AI Strategy and Business Innovation (AISBI) team, you will play a pivotal role in driving the AI Acceleration Program by enabling teams across the organization to build, deploy, and scale AI responsibly. Your day-to-day responsibilities include partnering with data engineering and platform teams to establish scalable data pipelines and analytical infrastructure, implementing governance standards, and supporting metadata management to ensure transparency and trust in data usage. You will also collaborate closely with Data Owners and Stewards to define data quality rules and metrics, conduct data readiness assessments for AI initiatives, and track governance adoption metrics. This role requires expertise in data management concepts, familiarity with enterprise data platforms, and a strong understanding of Responsible AI principles, making it ideal for someone who excels in cross-functional environments and is passionate about accelerating AI adoption at scale.

Skills

DataGovernance MetadataManagement DataQuality ResponsibleAI EnterpriseDataPlatforms DataCatalogs CI/CD SQL Python Azure Snowflake Tableau PowerBI Kafka Hadoop Spark Git JIRA Confluence

What you'll do

  • Partner with data engineering teams to support scalable AI data pipelines.
  • Implement and enforce data governance standards for AI projects.
  • Define and monitor data quality metrics for AI initiatives.
  • Enable access to high-quality data for model training and evaluation.
  • Support metadata management and improve transparency in data usage.
  • Track and report on data readiness and governance adoption metrics.
  • Identify process gaps and recommend improvements for data workflows.

What we're looking for

  • Extensive experience in data governance and quality fundamentals
  • Proven track record of implementing data infrastructure for AI workloads
  • Strong understanding of Responsible AI principles and data privacy
  • Ability to work effectively across technical and business teams
  • Experience with enterprise data platforms and governance tools
  • Excellent analytical skills and problem-solving capabilities
  • High attention to detail in documentation and metadata management

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