Senior Director, Business Intelligence & Analytics

Microsoft•Redmond, WA

8d•$155,800 - $303,600

About The Position

Are you passionate about transforming data into strategic business impact at scale? We are seeking a Senior Director, Business Intelligence & Analytics to lead a high-performing team responsible for delivering decision intelligence that shape decision-making across Microsoft's Small, Medium Enterprise & Channel (SME&C) business. This leader will drive the strategy, execution, and evolution of analytics capabilities, enabling business leaders to navigate complex challenges, identify opportunities, and make confident, data-informed decisions. Success in this role requires a combination of business acumen, analytical leadership, cross-functional influence, and a passion for developing talent while fostering a culture of innovation, operational excellence, and measurable impact. About the Team: At Small Medium Enterprises & Channel (SME&C), we are leading a high-growth, AI-powered global sales team—one that is deeply connected to our partners and driven by customer success. By uniting our Small Medium Business, Corporate, Strategy, and Partner teams, we are unlocking the largest customer opportunity, backed by the industry’s most significant investments. Leveraging the power of AI and our extensive partner ecosystem, we are redefining how businesses of all sizes adopt technology to drive growth and innovation. SME&C is more than a sales organization—it’s a culture of innovation, opportunity, and inclusivity. Here, you’ll be part of a diverse, high-performing, and customer-obsessed team where collaboration, connection, and continuous learning fuel everything we do. If you thrive in a fast-paced, digital-first environment and are eager to make a meaningful impact, explore how SME&C can be the next step in your career. Together, we are shaping the future of business.

Requirements

Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 6+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 8+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience.
5+ years people management experience.

Nice To Haves

Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 12+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 15+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience.

Responsibilities

Data Analysis: Directs teams to partner with stakeholders and run analyses that address high-priority business questions. Builds a climate that critically tests assumptions, tools, and techniques — including agentic AI that autonomously plans, executes, and iterates on analytical tasks — and closes gaps. Drives cross-functional adoption of stronger methods and actionable insights.
Evaluation: Directs evaluations of the impact of business, product, and operational decisions. Holds teams accountable for synthesizing results, assessing risks and limitations — including oversight and accountability for agentic solutions — and tying actionable recommendations to both evidence and strategy. Advances how the organization evaluates over time.
Expertise in Data: Serves as a trusted data expert, mentoring teams to judge data sufficiency, anticipate needs, and surface quality issues early. Advises Engineering and Data Science on pipelines, integrations, and models — including the data foundations agentic systems require to run reliably. Holds the organization accountable to data governance and policy, agentic workflows included.
Improvement, Efficiency, and Innovation: Introduces innovative methods — including agentic AI that orchestrates multi-step analysis, reporting, and insight generation — that drive efficiency and business impact. Standardizes, shares, and scales insights, turning ad hoc work into repeatable, agentic-automated practice. Partners with Engineering to automate core tasks and showcases these tools to customers and industry.
Orchestration and Collaboration: Models strong cross-team relationships that align priorities and drive optimal use of analytical tools, models, and insights — including emerging agentic capabilities — and their adoption across the organization. Sets expectations with internal and external stakeholders, reinforces best practices, and connects the right people across the business.
People Management: Delivers success through empowerment and accountability. Model: live the culture, values, and leadership principles. Coach: set objectives, enable success across boundaries, and help the team learn — including fluency with agentic AI. Care: attract and retain great people, know their aspirations, and invest in their growth.
Presentation of Results: Sets the standard for presenting insights — dashboards, visualizations, self-service and agentic/conversational analytics, slides, and talking points — that drive confident decisions. Ensures results are accessible and relevant to each audience and leads presentations with senior and executive stakeholders.
Understanding the Business: Sets strategic direction and deepens teams' business acumen, integrating expertise and external trends — including agentic AI's impact on SME&C and the analytics discipline. Builds connections across Microsoft and industry to influence decisions that advance strategic goals.