As a Data & AI Product Owner, you develop and maintain the vision for your Data & AI products and services; you set the priorities with the team and with your main stakeholders. You discuss future evolutions aligned with the strategy of skeyes and you make sure business demands are clearly known and prioritized. You are responsible for maintaining operational excellence of the activities and services and to foresee Life-Cycle Management, Data and Service Continuity Plans and Monitoring.
Your role stands as a bridge between Business/Operations, IT and Data & AI expertise, and you promote communication between all parties. You will influence and inspire multiple stakeholders in different functions to change ways of working. You will learn quickly and be able to partner with all stakeholders, demonstrating that you understand their business, their concerns and bring them value through Data & AI Products and Services.
You will be joining skeyes’ innovative Data & AI team. With several years of experience, we've successfully launched groundbreaking products like Europe's first CISP for unmanned traffic management. Now, we're setting our sights on ambitious yet realistic Data & AI goals to help keep skeyes at the forefront of the industry by enhancing operations and bringing even greater safety and capacity to Belgian skies..
What does a Data & AI Product Owner do at skeyes?
- Work together with your stakeholders (Support Services team, HR, Finance, Communications, Strategy, CEO) and contributors (Admin IT, data engineers and analysts, data stewards, etc) to build and maintain innovative ‘data products and services’ serving their needs. Together with your manager you will develop a vision and strategy regarding these data products, guaranteeing good quality and trustworthy content.
- Identify solutions and product increments; you determine the necessary features and manage the backlog. Application of understanding of business priorities to keep an up-to-date product backlog and ensure the correct items are prioritized for development. Ensure that the solutions are continuously supported and optimized by adding or adapting new features as the business strategy changes. Follow best practices to ensure user stories are detailed and contain the required information and acceptance criteria (Definition of Ready and Definition of Done) to support development.
- Help the team to understand the data product vision and requirements and convert them into data applications and solutions. This should result in a number of concrete deliverables that can be used by the stakeholders (e.g., setting up data quality controls, defining acceptance criteria, enriching the data & AI platform for future innovative usages, guidelines for integration, …).
- Implementation & Rollout Planning: Work with business and IT stakeholders to effectively plan the rollout, training and business support required to ensure a smooth planned implementation which enables benefits rapidly whilst minimizing any negative disruption to the business.
- Usage & Adoption: Focus on delivering the business value by focusing on the usage and adoption of the AI & Data Products (solution and services), while meeting the aligned expectations on the delivery.
