Commercial Engineering & AI (CEAI) partners closely with stakeholders to accelerate the transformation of Microsoft’s commercial business into a frontier organization. We bring together AI‑native engineering, modern platforms, and deep commercial insight to reimagine how work gets done - at scale and with impact. Our mission is to unlock new ways of operating through intelligent systems while creating the conditions for our teams to do the most meaningful work of their careers. If you’re excited to build, experiment, and shape the future of commercial execution with AI at the core, we invite you to apply.
The Business Intelligence Center of Excellence (BI COE) is responsible for delivering AI-first, enterprise-scale analytics that power data-driven decision-making across Microsoft’s Partner and Seller ecosystem. Our mission is to transform fragmented data into a single, trusted source of truth, enabling actionable insights, automation, and intelligent experiences.
The successful candidate for this role will lead the Security BI, data analytics & insights for the team globally, supporting leadership as well as Corporate & field teams, driving next level intelligent insights and predictive analytics around the business, led and scaled through AI across multi-modal interfaces. This role will also partner directly with the other members of our BI COE Team to deliver integrated, AI-led insights solutions, not proliferating or creating duplicative, isolated, or “more” interfaces in isolation.
You will play a role in shaping the next generation of AI-powered BI solutions, leveraging Microsoft Fabric, Power BI, and semantic modelling to deliver scalable, high-performance, and governed analytics experiences.
Responsibilities
- Interpret complex business problems and requirements, translating them into capability needs, then building/ enabling AI-ready semantic layers that support natural language querying, automation, and predictive insights to enable AI-driven insights, Copilot scenarios, and intelligent analytics experiences leveraging Fabric, Power BI, GHCP, Cowork, CLI and more to solve these business problems
- Enable AI-led predictive analytics capabilities and data insights for sellers, managers, and leadership to understand actionable insights and how to best use it to achieve measurable results. (What they need to know, Why they need to know it, and What they need to do about it)
- Integrate and work with BI COE team members and stakeholders to identify, understand, and prioritize business and information needs
- Utilize/deliver standardized tools and reporting which enable speed, efficiency, and scale in the business to accelerate the standardized business operations vs. isolated, disconnected, or duplicative solutions
- Locate and define new process improvement opportunities and solve for root cause business issues to locate and correct problems
- Drive adoption of AI-first principles across BI COE analytics and reporting solutions.
Impact & Outcomes
- Deliver a unified, AI-powered analytics platform for Security insights
- Enable single source of truth (OSOT) across data solutions
- Reduce time-to-insight through optimized semantic models and self-service BI
- Drive adoption of Fabric + AI-first BI strategy across BI COE
Qualifications
Required/minimum qualifications
Preferred Qualificaitons
- 8+ years of experience in Business Intelligence, Data Engineering, or Analytics
- Experience in:
- Semantic modeling (Power BI / Tabular / DAX)
- Data architecture and dimensional modeling (star schema, OSOT principles)
- Microsoft Fabric (Lakehouse, Direct Lake, pipelines, OneLake)
- Power BI (dataset optimization, reporting, governance)
- Experience building analytics solutions at scale.
- Experience with data governance, security, and compliance framework.
- Experience in Microsoft Sales ecosystem.
- Experience with AI-driven BI scenarios (Copilot, predictive analytics, data agents).
- Experience integrating multiple enterprise datasets into unified reporting models.
- Experience operating in matrixed, cross-functional environments and influence stakeholders.
- Storytelling skills with experience to translating data into business impact.
Business Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 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 $137,600 - $222,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft 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. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Skills Required
- Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 3+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR Bachelor's Degree in relevant field AND 4+ years experience OR equivalent experience.
- 8+ years of experience in Business Intelligence, Data Engineering, or Analytics.
- Semantic modeling (Power BI / Tabular / DAX).
- Data architecture and dimensional modeling (star schema, OSOT principles).
- Microsoft Fabric (Lakehouse, Direct Lake, pipelines, OneLake).
- Power BI (dataset optimization, reporting, governance).
- Experience building analytics solutions at scale.
- Experience with data governance, security, and compliance frameworks.
- Experience in Microsoft Sales ecosystem.
- Experience with AI-driven BI scenarios (Copilot, predictive analytics, data agents).
- Experience integrating multiple enterprise datasets into unified reporting models.
- Experience operating in matrixed, cross-functional environments and influencing stakeholders.
- Storytelling skills translating data into business impact.
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
