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Jobs / Sportradar / Strategic Finance Manager, Commercial Planning
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Posted 2026-08-11

Strategic Finance Manager, Commercial Planning

Description

The Strategic Finance Manager, Commercial Planning plays a critical role in shaping Sportradar’s commercial strategy. This is a high-impact position at the intersection of analytics, strategy, and execution, where the work directly informs go-to-market decisions, revenue forecasts, and investment priorities.

The role involves owning and evolving the revenue models and analytical frameworks used across core product lines. The manager will be responsible for building dynamic forecasting and pipeline models, supporting complex deal structures, and translating complex data into insights senior leaders rely on. This role is ideal for someone who enjoys solving ambiguous problems, building scalable analytics from the ground up, and partnering closely with commercial leaders to drive growth.

Responsibilities
  • Own company-wide revenue forecasting - partnering with Sales and CS leadership to build accurate, predictable weekly and quarterly models for bookings and churn.
  • Define and maintain pipeline health metrics, customer health scores, and forecasting methodologies that reflect real-world business dynamics.
  • Build scalable models for account planning, territory and segmentation design, quota setting, and compensation design.
  • Serve as the primary Revenue Operations (RevOps) partner to Finance during the annual planning cycle - aligning revenue targets, headcount assumptions, and GTM investment with financial models and board-level plans.
  • Own the operational inputs to the Annual Operating Plan (AOP) - including quota rollup, attainment modeling, and revenue bridge construction across new business, expansion, and renewal streams.
  • Build and maintain dynamic capacity models that inform GTM headcount decisions - factoring in ramp curves, productivity benchmarks, attrition assumptions, and growth.
  • Design and maintain PBI/SF dashboards, reports, and views that deliver business visibility and insights, including revenue, pipeline, forecast accuracy, Sales Rep performance, and territory health.
  • Own the recurring monthly executive reporting package across revenue and forecast, sales performance, territory and capacity, and revenue undermanagement.
  • Run and refine the Win/Loss program, including data capture, theme synthesis, and monthly distribution to stakeholders.
  • Leverage emerging AI and automation capabilities to enhance the RevOps tech stack - streamlining reporting workflows, improving data accessibility, and enabling more proactive, scalable insight generation for commercial leadership.
  • Maintain and grow whitespace reporting that quantifies serviceable revenue versus captured revenue, enabling upsell opportunity identification and territory optimization.
  • Design and operate the territory model – account size, sales rep ratio and capacity.
Requirements
  • 4+ years of experience in Finance, Consulting, Strategy, or other highly analytical role (required).
  • Strong track record of building and owning complex forecasting or revenue models (required).
  • Excellent business judgment with the ability to translate data into clear, actionable insights (required).
  • Advanced proficiency in Excel, SQL, and Power BI (required).
  • Proficiency in CRM systems (Salesforce preferred) (preferred).
  • Passion for sports, data, and driving commercial impact at scale (required).
About Sportradar

Sportradar is a global sports technology company that collects, analyses and distributes sports data to betting operators, sports leagues and media companies. Headquartered in St. Gallen, Switzerland, and founded in 2001, it provides betting services, managed trading, integrity monitoring and audiovisual streaming across hundreds of sports. The company holds official data partnerships with organisations including the NBA, NHL, FIFA and ICC. Sportradar is listed on the Nasdaq stock exchange and employs several thousand people worldwide.

Read more about Sportradar →

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