Finance Director - Data Analytics & AI Transformation

MicrosoftRedmond, WA
$130,900 - $303,600

About The Position

The Finance Director – Data Analytics & AI Transformation is a senior leadership role responsible for advancing Treasury’s analytics maturity and scaling AI-enabled transformation across Treasury operations. This role leads a team to deliver data-driven insights, intelligent automation, and scalable analytics solutions that improve financial decision-making, productivity, and business outcomes. The position partners across Finance, Engineering, and business stakeholders to build a modern, data-driven function under Treasury aligned to Microsoft’s transformation agenda.

Requirements

  • Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 8+ years experience in financial analysis, accounting, controllership or finance, or related field OR Bachelor's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 10+ years experience in financial analysis, accounting, controllership or finance, or related field OR equivalent experience.
  • 1+ year(s) experience managing direct reports.

Nice To Haves

  • 3+ years of people management experience
  • Expertise in data analytics, business intelligence, and AI adoption and experiments
  • Proven ability to lead data-driven transformation with measurable impact
  • Experience leading AI and automation initiatives in Finance
  • Familiarity with Power BI, Azure Data/Fabric, Databricks, SQL, or similar platforms
  • Experience partnering with Engineering or Data Science teams

Responsibilities

  • Lead & Develop Team: Build and coach a high-performing team of analysts and transformation leads; foster a culture of accountability, innovation, and continuous improvement
  • Drive Data & Analytics Strategy: Define and execute Treasury analytics roadmap; standardize KPIs and reporting; enable self-service insights and data democratization
  • Deliver AI & Automation at Scale: Identify and implement AI, automation, and advanced analytics use cases; partner with Engineering to deploy scalable, enterprise solutions
  • Advance Operational Excellence: Simplify, standardize, and automate end-to-end processes; embed analytics into Treasury workflows to improve speed, accuracy, and efficiency
  • Lead Cross-Functional Programs: Drive complex transformation initiatives across Treasury and Engineering; influence stakeholders on priorities, trade-offs, and execution
  • Drive Measurable Impact: Define and track KPIs across analytics adoption, automation impact, productivity gains, and cost efficiency; deliver tangible business outcomes

Benefits

  • Certain roles may be eligible for benefits and other compensation.
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