BI Capability Lead

Join Diageo's Digital & Technology team as a BI Capability Lead, responsible for building and operating the BI capability needed to develop, industrialize, and sustain responsible AI and analytical models at scale.

Key Accountabilities

• Own the specialist roadmap: Set standards, backlog, and delivery plan for AI-enabled BI enablement lead, aligned to enterprise architecture, governance, and priorities.
• Own decisions and delivery: Make timely decisions, maintain a transparent plan, and hold contributors accountable for agreed outcomes.
• Embed enterprise standards: Apply architecture, governance, security, privacy, and financial controls without creating unnecessary delivery friction.
• Manage stakeholders and dependencies: Align business and technical partners, resolve trade-offs, and escalate material risks.
• Measure and improve outcomes: Define success measures, review performance, and drive continuous improvement.

Key Competencies

• Enterprise judgement: Makes clear decisions balancing value, risk, speed, cost, and long-term sustainability.
• Outcome-focused leadership: Turns strategy into priorities, measurable results, and accountable execution.
• Collaboration and influence: Aligns stakeholders and resolves trade-offs across a complex federated organization.

Requirements

• 5+ years of relevant experience in enterprise data and analytics operating models, portfolio delivery, governance, and performance management.
• Proven ability to work across business, product, and technology teams in a matrixed or federated operating model.
• Strong written and verbal communication, with the judgement to influence senior stakeholders and escalate material risks clearly.
• Practical understanding of data governance, security, privacy, responsible use, and financial discipline.
• Bachelor's degree or equivalent professional experience in a relevant business, data, technology, engineering, or design discipline.

Desirable

• Experience in consumer goods, retail, or another complex multi-market enterprise.
• Experience with modern cloud data, analytics, or AI platforms and product-led delivery methods.
• Experience working with Databricks Genie or similar AI-powered conversational analytics and self-service BI tools.