Director, Business Intelligence

Microsoft•Redmond, WA

2d•$130,900 - $251,900•Onsite

About The Position

Microsoft Cloud Operations and Innovation (CO&I) delivers core datacenter infrastructure for Microsoft’s cloud business. Within CO+I, the Global Supply Chain team establishes a supply chain that supports Microsoft Cloud’s growth and the complex, multibillion-dollar, multidisciplinary datacenter construction, lease, and asset operations portfolio. The Director, Business Intelligence is a leadership role supporting this work through business intelligence, data analysis, reporting, governance, and transformation. The role leads and coaches teams to use business knowledge and analytical insight to identify and address business concerns. It directs data strategy and governance, executive-facing storytelling, innovation and automation, cross-functional collaboration, and evaluation of business, product, and operational decisions. The position is based at a Microsoft hub in Atlanta, Redmond, San Antonio, Washington, DC, or Phoenix. Relocation support is provided; successful candidates must relocate or reside within 50 miles of the hub office location.

Requirements

Master’s degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or a related field and 4+ years of experience in data analysis and reporting, data science, business intelligence, or business and financial analysis; or bachelor’s degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or a related field and 6+ years of such experience; or equivalent experience.
Ability to meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.
Successful candidates must relocate to or reside within 50 miles of a specified hub office location.

Nice To Haves

Bachelor’s degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, or Economics and 12+ years of experience in data analysis and reporting, business intelligence, or business and financial analysis; or master’s degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, or Economics and 8+ years of such experience; or equivalent experience.

Responsibilities

Lead and coach teams in applying business knowledge to proactively identify and address business concerns.
Lead teams in exploring stakeholder needs and performing complex analyses to answer relevant business questions.
Promote critical evaluation of assumptions, tools, and techniques; guide teams in identifying analytical gaps; and influence partner teams to adopt or improve analytical tools and methods.
Direct teams in identifying relevant data and addressing gaps with data providers; manage cross-functional partnerships and drive sourcing of additional data.
Develop business cases for Engineering or Data Science teams to create or modify data pipelines, integrations, and models that support insight generation.
Support teams in applying data governance standards and ensuring their solutions align with company policy.
Develop and coach teams on presenting analytical results through dashboards, reports, visualizations, self-service platforms, slides, and talking points.
Improve the efficiency, accessibility, accuracy, clarity, and relevance of reporting and presentations, and present results to senior and executive stakeholders.
Drive reusable, self-service analytics and reporting that support meaningful interpretation, business decisions, and impact across teams.
Lead efforts to standardize, share, and scale insights, including efficiency gains using AI and automation of recurring ad hoc analyses and reporting.
Partner with Engineering, Data Science, and Digitization teams to develop and implement automation for work tasks that address business needs.
Establish cross-team relationships and engage stakeholders to ensure quality data sources, clarify business needs, leverage analytical tools and insights, and promote adoption.
Drive collaboration across teams to integrate tools, insights, and solutions for short- and long-term business needs.
Direct teams in selecting factors and data frameworks to evaluate business, product, and operational decisions; ensure teams assess risks and limitations, apply prior learnings, and deliver actionable recommendations clearly connected to strategic needs.
Model Microsoft culture and values, define team objectives, enable team success, support adaptation and learning, and attract, retain, and develop employees.