Set the strategy and success metrics for Commercial Data products, prioritising scalability, reliability, and accuracy for Attribution and Commission.
Partner with Revenue, Data Platform, and analytical teams to migrate key logic from analytical pipelines into a robust, service-oriented architecture.
Translate business objectives into data-driven incentive structures and measurable performance KPIs by working closely with Sales, Marketing, and Finance teams.
Create data products that expose attribution and commission insights via self-serve tools for commercial and finance stakeholders.
Lead the discovery and delivery of advanced attribution logic, including multi-touch and dynamic reassignment models for future commercial impact analysis.
You'll be a great fit for this role if:
You have proven experience delivering in complex data ecosystems and building scalable, reliable data products.
You can effectively collaborate with engineering teams, interpret API specs and data schemas, and contribute to system architecture design.
You have a deep understanding of data reliability metrics, including latency, lineage, and service performance (SLOs/SLIs).
You excel at translating complex technical concepts into clear, actionable product definitions for both technical and non-technical audiences.
You can balance short-term data quality improvements with long-term platform evolution and vision.
You have experience with commission/incentive modeling or marketing and sales attribution (multi-touch, MMM).