About the Role:

As Data & Analytics Product Owner, you will play a key role in delivering both the IT & Data mission to deeply understand end-user needs and own the vision and roadmap of the product mandated by the organization and stakeholders to make this vision a reality.

Technical Skills Required:

- Master's in CS / Engineering / Statistics / IT / Information Systems

- 10+ years of total experience; 5-7 years in Data Product Management, agile, and full product lifecycles

- Fluent in English

- Proven Data Product Management track record (5-7 years) in agile setups, defining product vision, and collaborating with engineering teams

- Ability to run SQL queries independently

- Strong understanding of data architecture patterns, data engineering best practices, and data science techniques

- Business maturity with experience in large-scale organizational challenges

- Excellent leadership and communication skills for cross-functional collaboration

- Knowledge in Cycles & Procurement applied to FMCG (source to pay, supplier management, risk management)

- Knowledge in Sustainability applied to FMCG is a strong plus

- Knowledge of Azure, Databricks, Data Catalog, and Data Quality frameworks is a strong plus

Key Responsibilities:

- Product Vision and strategy: Collaborate with stakeholders to define and communicate the product vision and strategy.

- Backlog management: Maintain and prioritize the product backlog.

- Requirement Gathering and Refinement: Work closely with stakeholders to gather and refine requirements.

- Release Planning and Road-mapping: Plan and prioritize releases and manage the global roadmap.

- Plan & Review: Plan work with the squad and demonstrate completed work to stakeholders.

- Dependency management: Identify and manage dependencies impacting product success.

- Stakeholders engagement: Serve as the primary liaison between squad members and stakeholders.

- Acceptance criteria definition: Provide clear guidelines for release readiness.

- Continuous Improvement: Seek feedback to identify areas for improvement.

- Data strategy and vision: Derive tactical and strategic roadmaps aligned with IT & Data, emphasizing scalability and standardization.

- Data product development: Lead the squad by defining a vision, priorities, and methodologies, driving KPIs, and managing the product lifecycle.

- Data governance and infrastructure: Manage data governance processes to ensure reliability, consistency, and quality.