Data Intelligence Manager

Questa posizione è in BAT

Il processo di selezione sarà interamente gestito BAT.

--

Data Intelligence 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 British American Tobacco Italy has an exciting opportunity for a Data Intelligence Manager in Trieste Annual Gross Salary Pay Range: 73.256,80 € - 91.571,00 € under 1SQ CLA level The Data Intelligence Manager sits within the Growth Data & Intelligence team, as part of the wider Global Consumer Experience function. You will elevate the quality of strategic decisions across the Global Consumer Experience function through AI-driven recommendations that optimise channel performance and consumer experiences. This role is responsible for leading the team’s analytical and intelligence capabilities. It redefines data from martech tools (via DBS-Digital Business Solutions) and processes it through the enterprise platform (via D&A). The role transforms this data into actionable insights and intelligence that directly inform and improve consumer experience growth strategies and the efficiency of distribution channels. The focus is on deep analysis, experimentation, forecasting, and storytelling, used by new AI technologies, to drive evidence-based decision-making across marketing teams. This role combines deep analytical expertise, AI-powered innovation, and strong cross-functional partnership to generate intelligence that drives consumer growth initiatives. Your key responsibilities will include:

• Lead the creation of recurring and ad-hoc analyses: consumer behaviour, funnel performance, channel efficiency, journey optimisation opportunities, market trends, competitive benchmarking.
• Coordinate development and maintenance of advanced models (e.g., churn prediction, LTV forecasting, propensity scoring, recommendation algorithms), employing AI and machine learning techniques.
• Develop and implement experimentation frameworks (A/B testing, multivariate tests) in collaboration with activation teams.
• Scout and evaluate emerging analytics tools that use artificial intelligence, translating capabilities into scalable, business-ready use cases.
• Synthesise findings into compelling presentations, reports, and recommendations for senior leadership and marketing peers/teams.
• Proactively identify and investigate growth levers or risks through exploratory analysis, including opportunities to improve the customer journey and channel performance insights.
• Support strategic planning cycles with data-backed scenarios and forecasts.
• Partner tightly with the Data Product Manager on prioritisation and productization of analytical features, including AI-powered capabilities.
• Collaborate with the Data Platform Manager on data improvements (via DBS and D&A) that unlock new analytical possibilities (e.g., enriched event data, cross-device identifiers, AI/ML-ready pipelines).
• Integrate insights into campaigns, support cross-functional initiatives, and lead analytical governance, team development, and guidelines (incl. self-service, rigour, and capability building).
• Serve as the go-to expert for growth-related questions, balancing depth of analysis with speed to deliver both quick-win insights and longer-term strategic studies.
• Translate complex analytical findings into actionable, non-technical narratives for executive and marketing stakeholders.

• Minimum 8+ years in data analytics, business intelligence, data science, or intelligence leadership roles, with at least 3–5 years in a management position.
• Proven track record to translate analytics into growth impact in consumer-facing businesses (e.g., e-commerce, digital marketing, subscription services).
• Extensive experience with growth/marketing analytics (attribution, cohort analysis, customer journey mapping, personalization, channel performance analysis).
• Ability to enable evidence-based decision-making and foster a culture of analytical rigour, experimentation, and continuous learning.
• Background leading experimentation programs and influencing business decisions through data.
• Prior work in matrixed organizations with reliance on centralized data infrastructure and martech stacks.
• Hands-on analytical experience combined with strong people and collaborator leadership experience.
• Extensive global exposure across diverse markets and regulatory environments, with deep experience in consumer-facing industries an