About the job
As the Product Owner for Data & Analytics, you will work closely with a team of business analysts and farm data statisticians to manage the backlog on all data and reporting activities relating to our farmer owners. Your primary responsibility will be enabling internal stakeholders to deliver value to Arla within various areas, including service management, on-farm performance, sustainability, commercialization of data, and farmer case management, while providing high-quality analysis at speed to key stakeholders to support business decisions and direction. Additionally, you will lead strategic projects that support Arla's data lead ambitions and ensure a robust governance process that adheres to Arla's data sharing principles.
Your responsibilities will include:
- Contributing to the product vision and roadmap
- Managing the backlog and prioritizing data requests
- Collaborating with other Product Owners in the Agile Release Train to track dependencies
- Maximizing the value produced by the team
- Participating in iteration planning, review/demo, and retrospective
- Working closely with stakeholders to analyze their needs and deliver value-adding reporting solutions
- Implementing internal and external data request governance processes
- Ensuring data sharing principles are up-to-date and adhered to across all digital systems
- Acting as a sparring partner to business and commercial managers to support decision-making and business growth
- Leading investigations and strategic decision-making processes on sharing and receiving data with 3rd party vendors
Who are you?
As the Product Owner for Data & Analytics, you possess the following:
- The ability to work in a matrix with strong organizational and communication skills
- Experience in project management and agile principles
- A genuine interest in creating efficiencies and insights through data
- The ability to combine structure, communication, and business understanding to deliver value
- Strong prioritization skills
- Excellent communication, people skills, and analytical skills
- Fluency in English
- A team-oriented approach
- Data/business analyst experience (preferred but not essential)