Global Manager Data

Descrizione dell’offerta di lavoro

Campari Group today is a major player in the global branded spirits industry, with a portfolio of over 50 premium and super premium brands, marketed and distributed in over 190 markets around the world, with leading positions in Europe and the Americas. Headquartered in Milan, Italy, Campari Group owns 25 plants worldwide and has its own distribution network in 26 countries, and employs approximately 4,700 people. Shares of the parent company Davide Campari.

General Description of the Role

In the Technology & Services organization, the Data & Analytics Team is a strategic central hub to enable data centricity and data-driven decisions by transforming data into actionable and reliable insights to support business strategy and performance. The Data & Analytics team works closely with business departments and the technical team to manage the data lifecycle, as well as to design and deliver analytical solutions aimed at enabling more effective business decisions, improving performance and creating a competitive advantage by transforming data into actionable insights.

The team leads data governance and data literacy initiatives, ensuring consistent, regulated and high-quality use of data across the organisation, whilst enhancing analytical capabilities through the sharing of expertise and the promotion of self-service tools.

The team also supports business stakeholders in defining the data strategy to identify the key use cases that deliver value to the company, in line with strategic objectives and business needs.

Key Responsibilities and Activities

Lead and embed data governance practices for core finance and support functions domains.

Define product vision, roadmap, and success metrics in line with functions strategy.

Act as a champion for trusted, consistent, and harmonized data and KPIs across global, regional, and local markets.

Drive data quality controls for critical finance metrics used in performance reviews and external/internal reporting.

Act as Product Owner for Finance and Support Functions data and analytics products, defining the product vision, roadmap and key performance indicators in line with the business strategy and priorities.

Translate business requirements into clear, prioritized data needs for Data Platform technical team.

Balance global standardization with business flexibility required by regions and markets, ensuring scalability and usability of data product.

Share best practices and lessons learned across domains.

Act as a trusted partner to business leadership, including Head of Function, Global, Regional and local Teams.

Facilitate alignment between business function and proactively manage stakeholder expectations, dependencies, and trade-offs.

Lead governance forums and working sessions to resolve data issues, align on definitions, and prioritize finance analytics initiatives.

Serve as a trusted advisor to business stakeholders and Data Owners and provide guidance on correct data usage and interpretation.

Identify high-value analytics use cases to enable finance and support function teams to shift from reporting to insights.

Define and track value realization from business analytics initiatives.

Increase analytics literacy among business users, fostering self-service and data-driven decision making.

Contribute to enterprise Data & Analytics strategy from a business perspective.

Required skills and experience

8-10+ years of experience in Finance, FP&A, Controlling, Finance Analytics or similar roles within a CPG/FMCG environment.

Strong experience with finance and support functions data governance, KPI standardization, or performance management.

Experience acting as a product owner or business owner for finance data or analytics products.

Exposure to global and matrixed organizations with regional and local complexity.

Deep understanding of how finance data supports business processes, performance management, and decision‑making.

Strong ability to connect finance data to business decisions and outcomes.

Excellent communication skills with senior stakeholders and non‑technical audiences.

Conceptual understanding of finance systems, data platforms, and BI tools.

Ability to collaborate effectively with data engineers, analytics teams, and IT architects.

Strong business acumen and deep understanding of business performance data, metrics, and analytical concepts.

Influencing and stakeholder management in complex environmen