Dashboard Demand Deflection Lead

About the role

Diageo's Digital & Technology function is looking for a Dashboard Demand Deflection Lead in Bogota. The role delivers and governs scalable enterprise data and analytics capabilities that give consistent, high-quality and reusable insight experiences, owning standards and execution within its scope while relying on governed data products and business-owned KPI definitions.

Key responsibilities

• Own the specialist roadmap: set the standards, backlog and delivery plan for the dashboard demand deflection lead, aligned to enterprise architecture, governance and the priorities of the accountable manager.
• Define standards and reusable assets: set engineering, design, semantic and governance requirements with clear certification and lifecycle rules.
• Manage the delivery pipeline: prioritise demand, allocate capacity, assure quality and deliver repeatable outputs through standard factory methods.
• Reduce duplication and complexity: promote certified assets, rationalise low-value content and prevent new solutions that replicate existing enterprise capability.
• Track quality and adoption: measure performance, reuse, defects, user experience and productivity, and use evidence to improve standards and delivery.

Required profile

• 5+ years of relevant experience in enterprise data and analytics operating models, portfolio delivery, governance and performance management, including accountability in a complex global or multi-market organisation.
• Demonstrated delivery of measurable outcomes in a scope comparable to this role, with clear ownership of decisions, priorities and stakeholder alignment.
• 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.
• Practical understanding of data governance, security, privacy, responsible use and financial 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; bachelor's degree or equivalent professional experience.