Senior Finance Manager, Windows & Devices
- Location
- Redmond, WA
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 2,066 approvals (FY2023)
- Posted
About this role
Overview
Passionate about shaping the future of finance through data, analytics, automation, and AI? The Windows & Devices Finance team is seeking a Senior Finance Manager to drive Finance Intelligence and AI transformation for the Surface business, helping redefine how finance teams plan, analyze, and make decisions. This role sits at the intersection of finance, technology, and business strategy, helping transform how finance teams operate and make decisions in an increasingly data-driven environment. We are looking for a systems-minded individual with a strong understanding of planning, forecasting, reporting, and business decision-making. The ideal candidate combines financial and business acumen with a product mindset, partnering across Finance, Engineering, Data, and business teams to modernize finance through analytics, automation, and AI-enabled solutions. The Windows & Devices Finance team comprises groups spanning Sales, Revenue, Investments, Compete, and Gross Margin. We are trusted advisors to the business, helping drive growth and performance through: Delivering unit, revenue, gross margin, and market share objectives Developing a deep understanding of business strategies, investments, and return on investment (ROI) Generating actionable insights on customers, partners, competitors, and market trends Providing predictability and transparency through planning, forecasting, and performance management Proactively identifying risks and opportunities to improve business outcomes Building strong partnerships that influence strategy, execution, and decision making The successful candidate will bring a blend of finance expertise, business insight, and technology curiosity to help shape the future of finance. They will thrive in ambiguous environments, influence across diverse stakeholders, and leverage analytics, automation, and AI to solve complex business challenges. Our team is collaborative, supportive, and passionate about building scalable solutions that drive better decisions, improve productivity, and create measurable business impact. Microsoft’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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Responsibilities
Own the finance decision system for the Surface business, spanning planning, forecasting, reporting, analytics, insights, and decision support. Apply strong finance and business acumen to translate complex financial and operational challenges into scalable solutions that improve decision making and business performance. Partner across Finance, Engineering, and business teams to define priorities, influence strategy, and deliver high-impact solutions. Design and deliver analytics, modeling, reporting, and forecasting capabilities that enable leaders to make informed decisions with confidence. Drive the adoption of automation, AI, and emerging technologies to modernize finance processes and improve productivity. Establish trusted data, governance, and business standards that ensure consistency, transparency, and decision quality. Champion a product mindset focused on business value, user adoption, continuous improvement, and measurable outcomes. Embody our culture and values Qualifications Required/Minimum Qualifications Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 2+ years experience in financial analysis, accounting, controllership or finance, or related field OR Bachelor's Degree in Business Administration, Accounting, Finance, Economics, Data