Translate business intent into requirements. Work with business teams to understand the decisions behind their requests and translate ambiguous questions into clear, testable requirements that analytics and data engineers can build from independently.
Prioritize business requests. Evaluate incoming requests based on their expected value and required effort, challenging or rejecting initiatives that lack sufficient justification.
Define and track project ROI. Collaborate with project management to establish expected returns and measurement frameworks before projects begin. Challenge business cases with unclear, unattributable, or overlapping benefits and track realized versus projected outcomes after delivery.
Establish KPI definitions and ownership. Facilitate discussions with business stakeholders to define metrics, their underlying data, and the decisions they support. Secure formal sign-off from named business owners and conduct recurring reviews to keep definitions relevant.
Drive alignment across departments. Resolve conflicting metric definitions between business teams, establish consistency, and escalate disagreements where alignment cannot be reached.
Bridge business, BI, and FP&A. Act as the central point of translation between departmental business questions and reporting requirements, ensuring stakeholders understand the origins and meaning of their data.
Improve reporting effectiveness. Identify and consolidate reporting that no longer supports business decisions, reducing unnecessary complexity and improving efficiency.