Associate Director, Global Commercial Finance & Analytics

Responsibilities

• Drive digital transformation, high‑quality planning, forecasting, and reporting, delivering insightful analytics and executive‑ready storytelling.
• Oversee global Revenue & Commercialization Opex consolidation, forecasting, actuals reporting, and variance analysis across regions and functions.
• Deliver analytics and actionable recommendations to support investment prioritization, resource optimization, and cost discipline.
• Lead Commercial Finance’s contribution to enterprise digital finance initiatives (future‑state data, analytics, automation, and reporting aligned to business needs and Finance governance).
• Lead change management for digital tools and processes, including training, documentation, and communications to drive adoption.
• Establish and uphold financial data governance frameworks (data quality, consistency, stewardship across systems and regions).
• Own design and delivery of dashboards and executive reporting tools enabling self‑service analytics and improved business intelligence.
• Lead Long Range Plan (LRP) revenue and P&L analytics; partner with cross‑functional leaders on long‑term strategy, profitability outlooks, and investment trade‑offs.
• Provide regional price‑volume analysis and profitability metrics.
• Serve as primary Finance FP&A liaison for Commercial Regions.
• Provide strategic earnings support with deep‑div analysis for executive materials and leadership reviews.
• Partner with Investor Relations, Controllership, Corporate FP&A, and regional finance teams on alignment and financial storytelling.
• Operate as trusted Finance business partner; influence without authority across Finance and cross‑functional teams.

• BS/BA with 10+ years of experience
• OR MS/MA or MBA with 8+ years of experience
• OR PhD with 5+ years of experience

• Predictive data analytics & data science
• Scenario modeling ("what‑if" algorithms)
• Proactive risk management
• Process & operational excellence (simplifying/standardizing/automating FP&A)
• AI, robotics, and natural language processing (NLP)
• Creativity & innovation
• Data‑driven storytelling
• Digital agility & agile mindset
• Leading through change & transformation
• Relationship building and engagement
• Virtual workforce management
• Strategic thinking & problem solving

• Create inclusion; develop talent; empower teams.

• Salary range: $ - $
• Discretionary annual bonus; discretionary stock‑based long‑term incentives (eligibility varies); paid time off; benefits package including company‑sponsored medical, dental, vision, and life insurance.