Commercial Intelligence Lead

The Commercial Intelligence Lead is responsible for developing and executing data-driven pricing strategies that drive profitability, efficiency, and growth. This role blends advanced analytics, market insights, and business enablement to deliver strategic frameworks, predictive models, and actionable recommendations. Partnering cross-functionally with Finance, Strategy, Sales, and BI, this leader ensures pricing governance, lifecycle management, and scalable systems are in place to support enterprise objectives.

• Build and maintain data-driven frameworks to model market dynamics, customer segments, and competitive positioning.

• Develop predictive models for elasticity, revenue forecasting, and margin optimization.

• Conduct scenario modeling and quantitative testing to validate business hypotheses.

• Translate complex market and customer insights into clear, actionable strategies.

• Deliver data-backed insights and benchmarks to support sales, pricing, and go-to-market teams.

• Embed BI-driven logic into proposals and commercial packages, supported by clear narratives and evidence.

• Provide leadership with insights that directly connect data to profitability and growth.

• Partner cross-functionally to align insights with broader enterprise objectives.

• Oversee the end-to-end pricing and revenue intelligence lifecycle, from scoping and modeling to contract execution and performance measurement.

• Monitor real-time commercial performance and identify opportunities for efficiency and growth.

• Implement governance protocols ensuring data accuracy, version control, and auditability.

• Continuously refine frameworks to align with shifting market conditions and business priorities.

• Partner with Data Engineering to build pipelines that ingest, transform, and visualize commercial data.

• Design interactive dashboards and self-serve BI tools in platforms like Sigma or LookerPro.

• Implement predictive analytics and machine learning to improve forecasting accuracy.

• Integrate external data sources (market, competitive, economic) into core BI models.

• Proven experience building and executing pricing strategies, ideally within a media, digital, or social agency environment.

• Strong background in analyzing pricing and cost models tied to revenue performance.

• Demonstrated ability to collaborate cross-functionally with Finance, Strategy, and BI teams.

• Familiarity with agency operations and revenue forecasting.

• Comfortable operating in fast-paced, high-growth environments with shifting priorities.

• Bonus: Experience supporting complex, enterprise-level proposals and deal structures.

• Strong SQL and GCP expertise for managing and querying large datasets.

• Proficiency with dashboarding tools such as Sigma or LookerPro (Sigma strongly preferred).

• Ability to build and iterate internal tools that improve pricing efficiency and accuracy.

• Strong analytical background with a data-to-insights-to-action mindset.

• Bonus: Familiarity with APIs and data pipelines for pricing automation.

• Exceptional ability to simplify complex pricing strategies for leadership, finance, and sales audiences.

• Skilled at balancing competing priorities while aligning cross-functional teams.

• Excellent stakeholder management and communication skills.

• High attention to detail with strong project management and organizational skills.

• Proactive, collaborative, and committed to continuous improvement and ownership of outcomes.