{"id":3050209,"url":"https://alion.io/job/microsoft-director-data-analytics-manager","title":"Director Data Analytics Manager","company":{"id":18,"name":"Microsoft","domain":"microsoft.com","url":"https://alion.io/company/microsoft","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":81,"open_postings":309,"ghost_share":0,"stale_share":0.767,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Analytics","role_family":"Analytics","seniority":"head","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":130900,"max":251900,"currency":"USD","period":"year","gross":null,"usd_annual":251900},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Git","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"Databricks","optional":true},{"name":"Multi-Agent Systems","optional":true}],"status":"live","first_seen_at":"2026-10-07T20:40:43Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-24T23:07:28Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"description":"OverviewMCAPS-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.\nMCAPS-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.\nMCAPS-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.\nCandidates who live within 50 miles of Microsoft's Redmond campus will be required to work in the office 3 days per week.\nMicrosoft’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.\nResponsibilities\nDrive measurable business impact by owing KPIs and data-driven insights to demonstrate business ROI.\nData Architecture & Modeling: Deep expertise in dimensional modeling, lakehouse/warehouse architectures, data products, semantic layers, and scalable analytical data models.\nMicrosoft Fabric: Strong hands-on knowledge of Fabric architecture, including data engineering, lakehouse/warehouse patterns, pipelines, semantic models, governance, performance, and productionization.\nPower BI: Advanced expertise in Power BI, including semantic modeling, DAX, performance optimization, RLS/security, reusable datasets, executive analytics, and enterprise-scale BI patterns.\nData Engineering: Ability to design and technically review ingestion, transformation, orchestration, and data-quality pipelines using SQL, Python and modern data engineering frameworks.\nAnalytics Applications: Experience building data-driven applications and Fabric-based analytics experiences that go beyond dashboards to enable exploration, workflows, insights, and action.\nAI & Agents: Technical depth in GenAI, LLMs, agents, RAG/grounding, prompt orchestration, evaluation, and integrating AI with governed enterprise data and analytics.\nEngineering Excellence: Establish standards for Git/source control, testing, CI/CD, observability, data quality, security, documentation, deployment, and lifecycle management for production analytics.\nTechnical Architecture Leadership: Personally lead architecture and design reviews, challenge technical approaches, resolve complex trade-offs, and establish reusable patterns across data, Fabric, Power BI, apps, and AI.\nTechnical Talent & Strategy: Build and develop strong analytics engineers, BI engineers, data scientists, and technical leaders while defining the longer-term data + analytics + AI architecture and technical roadmap for the organization.\nOther:\nEmbody our culture and values.\nQualifications\nMinimum Required Qualifications:\nMaster's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, data engineering, software development, business intelligence, or business and financial analysisOR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ years experience in data analysis and reporting, data science, data engineering, software development, business intelligence, or business and financial analysis\nOR equivalent experience.\n\nOther Requirements:\nAbility to meet Microsoft, customer and / or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire / transfer and every two years thereafter.\nPreferred Qualifications:\nMaster's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 8+ years experience in data analysis and reporting, data science, data engineering, software development, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 12+ years experience in data analysis and reporting, data science, data engineering, software development, business intelligence, or business and financial analysis\nOR equivalent experience.\n\n3+ years people management experience and/or informal/indirect team leadership experience.\n5+ years working in data-intensive Azure environments, translating business requirements into scalable data, analytics, and AI solutions using Microsoft Fabric, Azure Data Platform, Synapse Analytics, Azure Databricks, and Power BI.\n5+ years in customer-facing consulting, professional services, solution delivery, or technical advisory roles.\nDemonstrated ability to lead enterprise-scale data, analytics, BI, or data engineering solutions and teams, including setting technical direction, guiding architecture reviews, establishing engineering standards, and collaborating across organizations.\nKnowledge of data architecture, modeling, semantic layers, and modern lakehouse and warehouse architectures, with proficiency in SQL and familiarity with Python or similar programming languages.\nProficiency with Power BI, including semantic models, DAX, security, performance optimization, and enterprise BI solutions.\nBackground designing and delivering AI and Generative AI solutions grounded in enterprise data, including data applications, Copilots, intelligent agents, and multi-agent systems.\nAbility to mentor and develop technical talent across data, analytics, and AI disciplines.\nData Analytics M5 - The typical base pay range for this role across the U.S. is USD $130,900 - $251,900 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $165,600 - $272,300 per year.\nCertain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:\nhttps://careers.microsoft.com/us/en/us-corporate-pay\nThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.\nMicrosoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. 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