Director Data Analytics Manager

Microsoft

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Redmond, WA
Salary
$130,900–$251,900 / yr
Posted
5 days ago
Freshness
Confirmed live today
Closes
Apr 20, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $220k
This role $191k
$115k $277k
below market most similar roles pay here above market

This role pays less than 67% of similar roles. Most pay $179,475–$261,400 — the blue band above. At the midpoint, this role pays about $191k versus about $220k for comparable roles.

Based on 240 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 694 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 651 roles with salary data.

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At a glance

TL;DR · Director Data Analytics Manager

The Director Data Analytics Manager joins the MCAPS-Core Data & Applied AI organization to lead the development of data and AI-powered platforms, semantic model foundations, and PowerBI and Fabric Apps. This role involves building scalable solutions on multi-tenant data platforms and AI workflows to translate data into actionable business impact. Key responsibilities include designing data architecture, modeling lakehouse and warehouse patterns, and overseeing ingestion, transformation, and orchestration pipelines. The position requires technical expertise in Microsoft Fabric, Power BI, DAX, SQL, and Python. Candidates must also possess depth in GenAI, LLMs, RAG, and prompt orchestration. The role solves complex data challenges by establishing engineering standards for CI/CD, observability, and security while defining the long-term technical roadmap for enterprise-scale analytics and AI solutions.

What you'll do

  • Lead the architecture and design of scalable data platforms, semantic models, and Power BI applications.
  • Develop and manage end-to-end data engineering pipelines using SQL, Python, and modern data frameworks.
  • Build data-driven applications and analytics experiences within the Microsoft Fabric ecosystem.
  • Integrate Generative AI, LLMs, and RAG workflows with governed enterprise data and analytics.
  • Establish engineering standards for CI/CD, testing, observability, and data quality for production systems.
  • Define the long-term technical roadmap for the organization's data, analytics, and AI strategy.
  • Mentor and develop a team of analytics engineers, BI engineers, and data scientists.
  • Own KPIs and provide data-driven insights to demonstrate measurable business ROI.

What we're looking for

  • Master's degree in a quantitative or technical field and 4+ years of relevant experience, or a Bachelor's degree and 6+ years of relevant experience.
  • Ability to pass the Microsoft Cloud Background Check.
  • 3+ years of people management and/or informal team leadership experience (preferred).
  • 5+ years of experience in data-intensive Azure environments using Microsoft Fabric, Synapse, Databricks, and Power BI (preferred).
  • 5+ years of experience in customer-facing consulting, professional services, or technical advisory roles (preferred).
  • Proficiency in Power BI, including DAX, semantic modeling, and performance optimization (preferred).
  • Experience designing and delivering AI and Generative AI solutions grounded in enterprise data (preferred).
  • Knowledge of data architecture, modeling, and modern lakehouse/warehouse architectures with SQL and Python proficiency (preferred).

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