Finance Manager

Microsoft • Redmond, WA

1h

About The Position

The Commercial Products & Infrastructure (CPI) organization is responsible for driving Microsoft cloud & Artificial Intelligence (AI) capacity, margin excellence and resource allocation rigor across Microsoft’s portfolio. Within The Margin Strategy ＆ Investment Optimization (MSIO) organization, the Investment Optimization Strategy finance team is an exciting and fast-evolving team that partners deeply with engineering leaders to ensure $20B+ resources across ~100K engineering FTEs are continuously aligned to strategic engineering priorities. Why is this the right place for you? •Now is the time and place to accelerate your career development and velocity by understanding and driving the strategic importance of cost leadership, a core competency for future finance leaders. •Develop a CFO mindset and influence leadership to drive expense management and resource allocation decisions – continuously aligning investments and costs with a prioritized engineering product roadmap. •Bring fresh energy and innovation to solve complex short and long-term problems in the new AI transformational age. •Build deep trusted relationships to collaborate across a wide variety of teams at Microsoft including engineering leaders, Product Revenue and Margin teams, Central Finance Team, Global Workplace Services, Procurement and Human Resources. •Highly driven team with an emphasis on fun! This Finance Manager - Commercial Products & Infrastructure position requires a motivated and agile system thinker who can demonstrate intellectual curiosity and navigate ambiguity and complexity to be the trusted finance advisor to our engineering leaders and drive success for our business partners. This team/role has scope across 7 SLT engineering organizations to enable a consistent, portfolio-based view and strategic approach to ensure Microsoft investments in engineering headcount resources are reflected in accurate, timely and industry-leading views. 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.

Requirements

• Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field OR Bachelor's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 2+ years experience in financial analysis, accounting, controllership, finance, or related field OR equivalent experience.

Nice To Haves

• Financial analysis experience in a high-tech company
• Revenue Planning and/or Consulting experience
• Communication & presentation skills
• Experience in developing complex financial models and scenario analysis, excellent quantitative analysis skills
• Ability to influence and impact without authority, operate in ambiguity, and solve difficult problems, combined with the ability to prioritize and function well in a dynamic and matrixed environment
• Interpersonal and cross group collaboration skills. Ability to drive simplicity within a complex and matrix environment
• Proficient technical skills (Excel/Power BI and SQL)

Responsibilities

• Lead the effort to develop and standaridize headcount reporting views and coordinate with Financial Data Management partenrs to enable automated reporting solutions.
• Drive improvement in data management and reporting through automation and early adoption of AI tools.
• Develop new approaches to leverage best-in-class technology (e.g., Machine Learning, Artificial Intelligence, Predictive Analytics etc.) to accomplish goals.
• Manage varous competing FD&E projects with ensure delivery and adoption through completion
• Contributes to new and unconventional methods and approaches to data collection, analysis, interpretation, and financial models.
• Provides advice and direction in evaluating suitability and reliability of data, articulate limitations, and propose solutions on data management and operations. •Acts as subject matter expert for data management and operations.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees