Data Platform and Governance Manager

BAT is evolving at pace into a global multi-category business. Our purpose is to create A Better Tomorrow by Building a Smokeless World. To achieve our ambition, we are looking for colleagues who are ready to join us on this journey Tomorrow can't wait, let's shape it together

Data Platform & Governance Manager in Trieste

Annual Gross Salary Pay Range: 73.256,80 € - 91.571,00 € under 1SQ CLA level

The Data Platform & Governance Manager sits within the Growth Data & Intelligence team, as part of the wider Global Consumer Experience function. You will directly shape how marketing teams across the organization access and act on data, accelerating time-to-insight through scalable, AI-enhanced data products.

This role serves as the primary interface and accountable owner for ensuring that data requirements are met through the enterprise data platform (owned by the Global D&A team) and key martech tools (sourced and run by the DBS-Digital Business Solutions team). The Data Platform & Governance Manager advocates for business needs, defines clear requirements, negotiates priorities and SLAs, and drives cross-functional coordination to enable reliable, high-quality data flows for customer and consumer analytics, activation, and channel performance optimisation - including readiness for AI and advanced analytics workloads.

This role combines technical platform expertise, strong cross-functional coordination, and governance leadership to deliver the data foundations that power consumer growth initiatives.

Your key responsibilities will include:

• Collect and prioritize data requirements (sources, schemas, real-time needs, integrations, AI/ML readiness) and articulate them 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 participate in planning forums to secure platform capacity and features for growth and AI workloads.
• 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 (DBS) to data pipeline setup and ingestion (Global D&A).
• Coordinate schema design, event tracking standards, integration testing, and enable channel performance data flows and AI/ML readiness through cross-functional alignment.
• Define and run data quality standards, validation rules, 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 for continuous improvement.
• Align with Data Product & Data Intelligence Managers, promote guidelines, and support capability building through enablement and knowledge sharing.
• Act as the voice of the internal customer, driving adoption across marketing teams at all levels.
• Deliver intuitive, reliable, and scalable products that balance speed-to-market with quality and governance.
• Measure and maximize business impact - continuously gather feedback, iterate, and retire low-value products.

What are we looking for?

• Minimum 7+ years in data engineering, platform coordination, or analytics enablement, with 3+ years leading cross-functional dependencies in matrixed organisations.
• Proven experience working 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 artificial intelligence/machine learning data infrastructure.
• Proven ability to drive outcomes through influence, negotiation, and relationship‑building; strong 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, plus 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 bat