Data Platform and Governance Manager

Stack

Responsibilities

• ▹Collect, prioritize and articulate data requirements (sources, schemas, real-time needs, integrations, AI/ML readiness) to DBS and Global D&A
• ▹Represent Global Customer & Consumer Experience in DBS tooling selection, implementation and roadmap discussions, ensuring martech supports data granularity, tracking and AI/ML readiness
• ▹Drive Global D&A governance implementation and participate in planning forums to secure platform capacity and features
• ▹Serve as primary liaison between Growth CX, DBS and Global D&A
• ▹Drive joint planning and execution for onboarding new martech tools, from evaluation and configuration to data pipeline setup and ingestion
• ▹Coordinate schema design, event tracking standards and integration testing, and enable channel performance data flows
• ▹Define and run data quality standards, validation rules and monitoring, and collaborate on data lineage, cataloguing, MDM and access controls
• ▹Own data governance and compliance across the martech-to-platform chain, ensuring ethical, secure and compliant practices across markets
• ▹Track key data metrics (completeness, freshness, latency, errors, AI readiness), lead incident triage and resolution, and conduct service reviews
• ▹Align with Data Product and Data Intelligence Managers, promote guidelines and support capability building
• ▹Act as the voice of the internal customer, driving adoption across marketing teams
• ▹Deliver intuitive, reliable and scalable products that balance speed-to-market with quality and governance
• ▹Measure and maximize business impact, gather feedback, iterate and retire low-value products

Requirements

• ▹Minimum 7+ years in data engineering, platform coordination or analytics enablement, with 3+ years leading cross-functional dependencies in matrixed organisations
• ▹Proven experience with centralised data platforms and martech/adtech ecosystems, influencing shared roadmaps and tool selection
• ▹Deep experience in growth/marketing data ecosystems (e.g. CDPs, analytics tools, activation platforms like Adobe, Google, Salesforce)
• ▹Hands-on experience with data pipelines, event monitoring and AI/ML data infrastructure
• ▹Proven ability to drive outcomes through influence, negotiation and relationship-building; team member and leadership experience
• ▹Extensive global exposure across markets and regulatory environments
• ▹Strong understanding of enterprise data platforms (e.g. Fabric, BigQuery) and martech ecosystems (pixels, SDKs, APIs, CDPs, tag managers)
• ▹Knowledge of data ingestion patterns, event schemas (e.g. JSON), integration guidelines, and familiarity with governance tools, lineage and quality frameworks
• ▹Solid SQL proficiency and working knowledge of Python for validation, troubleshooting and exploration (non-production)
• ▹Deep understanding of growth data challenges (attribution, consent, cross-device, real-time vs batch), data privacy and developments in AI and machine learning, with a relevant graduate degree

Soft skills

What we offer

• ▹Market-leading annual performance bonus (subject to eligibility)
• ▹Benefits vary by country: health plans, work-life balance initiatives, transportation support, flexible holiday plan with additional incentives
• ▹Internal advancement and development opportunities
• ▹Annual gross salary range: €73,256.80 - €91,571.00 (1SQ CLA level)

About the company

BAT is evolving into a global multi-category business, with the purpose of creating A Better Tomorrow by Building a Smokeless World.