Director Data Analytics Manager

** Overview*
* MCAPS-Core accelerates customer outcomes and business growth. By uniting product, engineering, marketing, sales, customer success, and partners around a common customer mission, we help customers realize value faster and turn innovation into measurable business impact. Through deep technical expertise and differentiated go-to-market execution, we win competitively, capture market share, and scale repeatable growth motions. We differentiate through value creation - delivering world-class, AI-powered customer experiences that accelerate adoption, strengthen loyalty, and create sustainable competitive advantage, driving growth that outpaces the market.

** MCAPS-Core Data & Applied AI (DAAI)
** is a centralized data and AI organization driving Microsoft's transformation through enterprise data platforms, advanced analytics, AI-powered solutions, automation, and governance. Our mission is to turn data into intelligence and intelligence into action, empowering teams across Microsoft to accelerate decision-making, increase productivity, and deliver exceptional customer outcomes through innovative customer-zero solutions.

MCAPS-Core DAAI is seeking a  
** Director Data Analytics Manager
** to lead and build Data and AI-powered platforms, semantic model foundations and PowerBI and Fabric Apps that fuel Microsoft's transformation. This role combines deep data analytics, data engineering, and AI expertise to deliver scalable solutions powered by enterprise scale multi-tenant data platform and AI workflows. The ideal candidate is a hands-on technical leader who thrives on solving complex data and analytics challenges and building systems that translate data into actionable business impact.

** Candidates who live within 50 miles of Microsoft's Redmond campus will be required to work in the office 3 days per week.*
* 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.

** Responsibilities*
* + Drive measurable business impact by owing KPIs and data-driven insights to demonstrate business ROI.

+ Data Architecture & Modeling:
Deep expertise in dimensional modeling, lakehouse/warehouse architectures, data products, semantic layers, and scalable analytical data models.

+ Microsoft Fabric:
Strong hands-on knowledge of Fabric architecture, including data engineering, lakehouse/warehouse patterns, pipelines, semantic models, governance, performance, and productionization.

+ Power BI:
Advanced expertise in Power BI, including semantic modeling, DAX, performance optimization, RLS/security, reusable datasets, executive analytics, and enterprise-scale BI patterns.

+ Data Engineering:
Ability to design and technically review ingestion, transformation, orchestration, and data-quality pipelines using SQL, Python and modern data engineering frameworks.

+ Analytics Applications:
Experience building data-driven applications and Fabric-based analytics experiences that go beyond dashboards to enable exploration, workflows, insights, and action.

+ AI & Agents:
Technical depth in GenAI, LLMs, agents, RAG/grounding, prompt orchestration, evaluation, and integrating AI with governed enterprise data and analytics.

+ Engineering Excellence:
Establish standards for Git/source control, testing, CI/CD, observability, data quality, security, documentation, deployment, and lifecycle management for production analytics.

+ Technical Architecture Leadership:
Personally lead architecture and design reviews,…