• You will autonomously own the design and maintenance of pricing and packaging structures for our Enterprise segment, ensuring our monetization evolves alongside our product. • You will act as the strategic escalation point for high-stakes deal exceptions. • You will build frameworks to maximize Annual Contract Value (ACV), Net Revenue Retention (NRR), Gross Margin, and other key metrics, providing the business with early warnings on yield compression. • You will act as the "translator" between departments—helping Product understand monetization, Sales understand value capture, and Finance understand yield—working autonomously to drive alignment on sensitive pricing decisions. • You will analyze Enterprise competitor pricing moves, working closely with Pricing Intelligence and Competitive Intelligence stakeholders to iterate on our rate cards and discounting policies, ensuring we remain competitive yet premium. • You will ensure the Sales team is equipped not just with a price list, but with the commercial logic and value-defense strategies needed to win negotiations.

• Develop, analyze, and maintain cost and pricing models for subscription, transactional pay-per-use (API), and enterprise licensing data products. • Partner with Product Managers to analyze, recommend, and test tiered, volume-based, and bundled margin and pricing structures. • Support monthly, quarterly, and annual cost and price reviews and recommend adjustments based on market data and company strategy. • Evaluate data acquisition and licensing costs across vendors and data sources. • Model and monitor gross margins for data products to ensure profitability targets are met. • Provide Product, Finance and Revenue Leadership with visibility into cost drivers and margin sensitivity under different pricing scenarios. • Analyze vendor and internal data usage patterns against spend and revenue to develop return-on-investment recommendations and decisions. • Collaborate with Finance to support forecasting, scenario modeling, and revenue planning. • Maintain data cost information with global data vendors to ensure all cost inputs are accurate and current.

• Investment Simulation and Financial Planning: Support markets with ENSUM+(Expert Net Sales Uplift Model) modelling for Expert-related financial planning. Develop and run ad-hoc investment choice simulations to inform local decisions. Empower markets with actionable insights. • Meta-Analysis and Knowledge Sharing: Consolidate ENSUM+ & Expert MMM learnings from markets to inform central analyses and business-wide applications Identify Expert growth drivers and support prioritization across BMCs. • Data Quality and Transformation: Conduct data quality audits and transform Expert-related datasets for use in MMM and other analytics. Enable reliable and accurate data for value tracking and decision-making. • Data Infrastructure and Automation Support: Transition Expert tracking data to centralised systems. Support implementation of new analytics use-cases requiring data asset access and triangulation. • KPI vs. Market Sales Analysis: Lead end-to-end analysis triangulating Expert KPIs with market share/sales data. Deliver insights to support investor relations and executive decision-making. • Testing and Validation: Design and execute new test-and-learn experiments identified in the 2026-27 roadmap. Improve predictive models and business planning assumptions. Run validation of tools/models

• Support ongoing pricing and contracting operations for all of the Company's pharmaceutical products • Responsible for calculation and timely submission of government price points • Assist in performance of bona fide service assessments • Maintain audit-ready documentation • Analyze historical pricing and rebate trends