Finance Manager

This Finance Manager role sits at the intersection of commercial finance, business transition support, finance technology transformation, and applied analytics. The ideal candidate will partner with vertical sales leadership on growth and pricing economics, support the orderly wind-down of a licensing business line, contribute to a multi-year finance systems modernization program, and apply data science and AI techniques to modernize how the finance function generates insight and produces deliverables. This is a high-visibility role requiring strong analytical depth, cross-functional partnership, and comfort operating across both traditional finance and emerging technology domains.

You will work out of our Atlanta, GA location on a Hybrid schedule.

• 5+ years of progressive finance experience, ideally spanning FP&A, commercial finance, or transformation-related roles.
• Demonstrated experience with pricing, margin, and commercial economics analysis; exposure to inflation/tariff impact analysis a plus.
• Familiarity with EPM and financial systems (OneStream, SAP S/4HANA, EDW concepts, GDM) strongly preferred.
• Proficiency in data analysis tools (SQL, Python, or similar) and genuine interest in applying AI/ML techniques to finance use cases.
• Strong communication and stakeholder management skills, with the ability to partner effectively across sales, accounting, IT, and senior leadership.
• Comfort operating in ambiguity and managing multiple concurrent workstreams across commercial, transformation, and analytics domains.

1. Vertical Sales Growth, STRAP & Commercial Metrics

• Partner directly with vertical sales leaders to track and analyze sales growth performance against targets, identifying gaps and recommending corrective actions.
• Own the build and maintenance of commercial performance metrics, including pricing realization, inflation pass-through, and tariff impact on cost and margin.
• Develop and refine net price waterfall analysis to isolate the impact of price, volume, mix, and cost inflation on margin.
• Monitor tariff exposure across the supply chain and quantify financial impact scenarios, partnering with sourcing and operations to model mitigation strategies.
• Lead annual STRAP planning cycles with growth models, bridges, and scenario analysis.
• Build recurring reporting packages and dashboards that give leadership real-time visibility into growth, pricing, and margin performance.

2. Licensing Business Wind-Down Support

• Lead financial analysis supporting the orderly wind-down of the licensing business line.
• Partner with legal, accounting, and operations to assess contract and TSA (Transition Services Agreement)-related financial exposures and obligations through wind-down completion.
• Distinguish and properly classify true stranded costs versus balance sheet and one-time items (e.g., goodwill, impairments) in wind-down reporting.
• Monitor wind-down milestones against plan and proactively flag risks, delays, or unbudgeted costs to finance leadership.
• Support documentation and audit-readiness of wind-down financials, ensuring accurate and defensible reporting throughout the process.

3. Finance Systems Transformation

• Serve as a finance business partner on the multi-year systems transformation roadmap spanning EDW (Enterprise Data Warehouse), OneStream, SAP S/4HANA, GDM (Global Data Management), and EPM platforms.
• Translate finance and reporting requirements into system design input, working closely with IT and implementation partners.
• Support data mapping, validation, and reconciliation activities during each phase of implementation to ensure data integrity across legacy and new systems.
• Participate in user acceptance testing (UAT) and design of new reporting structures, hierarchies, and chart of accounts within OneStream and EPM tools.
• Drive change management and adoption across the finance organization, including training, documentation, and troubleshooting support post-go-live.
• Identify opportunities to simplify or eliminate legacy manual processes as new systems and platforms come online.

4. AI, Analytics & Insight Automation

• Blend traditional financial analysis with data science and applied AI/ML techniques to generate deeper commercial and operational insights.
• Design and build automated, repeatable deliverables (dashboards, models, recurring reports) that reduce manual effort and increase the speed and accuracy of finance outputs.
• Apply driver-based and predictive modeling techniques to improve forecasting accuracy across sales, pricing, and cost lines.
• Identify and pilot use cases for AI-enabled anomaly detection, variance explanation, and narrative generation to accelerate month-end and forecast cycles.
• Partner with data engineering and analytics teams to ensure underlying data infrastructure (EDW, GDM) supports scalable, trustworthy analytics.
• Evaluate and recommend new tools, techniques, and best practices to keep the finance function's analytics capability current and competitive.