Enterprise Data & Analytics Portfolio Lead

Diageo

Bogotá

On-site

COP 90,000,000 - 150,000,000

Full time

3 days ago
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Job summary

Diageo is seeking a senior leader for enterprise data and analytics to deliver scalable capabilities and governance across the reporting portfolio. You will own standards, drive reusable data products, and align with governance frameworks while collaborating with global teams.

The role requires 5+ years in enterprise data and analytics, strong communication, and experience in matrixed organizations. A consumer goods background and cloud analytics familiarity are desirable, with a focus on

Qualifications

  • Essential: 5+ years in enterprise data and analytics operating models, governance and performance management.
  • Demonstrated delivery of measurable outcomes with ownership of decisions and stakeholder alignment.
  • Experience working across business, product and technology teams in a matrixed environment.
  • Desirable: experience in consumer goods or multi-market enterprises; familiarity with cloud data and analytics platforms.

Responsibilities

  • Own the specialist roadmap and set standards, backlog and delivery plan for reporting portfolio lead.
  • Define standards and reusable assets with engineering, design, semantic and governance requirements.
  • Manage the delivery pipeline: prioritise demand, allocate capacity, ensure quality and deliver repeatable outputs.
  • Reduce duplication and complexity by promoting certified assets and rationalising low-value content.
  • Track quality and adoption: measure performance, reuse, defects, user experience and productivity.

Skills

Enterprise data
Analytics
Portfolio delivery
Governance
Stakeholder management
Communication

Education

Bachelor's degree

Job description

Diageo is seeking a senior leader for enterprise data and analytics to deliver scalable capabilities and governance across the reporting portfolio. You will own standards, drive reusable data products, and align with governance frameworks while collaborating with global teams.

The role requires 5+ years in enterprise data and analytics, strong communication, and experience in matrixed organizations. A consumer goods background and cloud analytics familiarity are desirable, with a focus on

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