IT&Data D&A PO C&P

Responsibilities :

- Product Vision and strategy: Collaborates with stakeholders to define and communicate the product vision and strategy (see Product Vision, Product Strategy Canva and OKRs) - Backlog management: Maintaining and prioritizing the product backlog and define the extension guardrails, where applicable (see Product Management Guiding Principles ) - Requirement Gathering and Refinement: Works closely with stakeholders to gather and refine requirements (see Backlog Refinement ) - Release Planning and Road-mapping: Collaborates with the squad members and stakeholders to plan and prioritize releases (see Product Roadmap ) Global roadmap management and its communication to stakeholders. - Plan & Review: Plan the work to be done with the squad members and demonstrate the completed work to stakeholders - Dependency management: Identify and manage dependencies that may impact the success of the Product and Squads - Stakeholders engagement: Serves as the primary liaison between the squad members and the stakeholders - Acceptance criteria definition: Provide clear guidelines for when a requirement is considered complete and ready for release - Continuous Improvement: Actively seeks feedback from stakeholders, team members, and end-users to identify areas for improvement by fostering the adherence to the frameworks best practices. - Data strategy and vision o From high-level functional needs, you derive tactical and strategical roadmaps that not only accommodate the business strategy, but that are also aligned with IT&Data's based on proven business cases and measurable success criteria, as well as emphasizing scalability and standardization. o You translate these large-scale data initiatives into actionable tasks / projects. o You champion data literacy across the C&P / Sustainability organization. - Data product development: o You lead and embark your squad by defining a vision, that you turn into the right priorities and methodologies. You adjust these priorities when needed. o You define and follow KPIs to drive the team towards goals and impacts. o You communicate clearly and regularly on the progress, risk, and impact of the roadmap, which in turn means you anticipate challenges and dependencies. o You apply your product management background, from discovery (market assessment, design) to delivery (test, QA).

Technical and Professional Requirements:

- Master's in CS / Engineering / Statistics / IT / Information Systems - 10+ years of total experience 5-7 yrs Data Product Management, agile, full product lifecycles(discovery ↠delivery) - You are fluent in English - most of the C&P community is based out of Amsterdam. - You are driven by fact-based impact and have a proven Data Product Management track record (5/7 years), that includes working in agile setup, defining product vision,[VJ8.1][SK8.2] collaborating with designers and engineering teams, and knowledge about product lifecyle. - You can run SQL queries on your own: you're not fearing to explore data to identify the next feature to build / support business inquiries.[VJ9.1][SK9.2][VJ9.3][SK9.4] - You have a strong understanding of data architecture patterns, data engineering best practices, and data science techniques. - You have a strong business maturity: you understand the organisational challenges inherent to a corporation the size of Danone. - You have excellent leadership and communication skills, that in turn help you to negotiate and collaborate effectively with cross-functional teams, which is necessary to build trust and relationship with C&P / Sustainability's stakeholders. - You are a problem-solver and have experience in smoothly arbitraging difficult or ambiguous[TH10.1] situations, to rally people around company's objectives. - You are comfortable working under changing/conflicting priorities. - Knowledge in Cycles& Procurement applied to FMCG is a must have: source to pay, ingredients/pack/milk management, supplier management, risk management. - Knowledge in Sustainability applied to FMCG is a strong plus, tied to end to end product life - from cradle to grave operations: farming, suppliers, manufacturing, transports, use of sold products, end of life, etc. - Knowledge of Azure ecosystem of services is a strong plus. - Knowledge of databricks is a strong plus - Knowledge of Data Catalog, Data Quality frameworks is a strong plus