Senior Data Product Owner

Opportunity

Want to help us reduce our vessel turnaround time at the terminal, optimize our terminal capacity, reduce our carbon footprint, connect our physical supply chain assets in our terminals, vessel fleet and inland logistics with IIOT and be part of the team who are building and creating one definitive Global Data & Analytics (GDA) strategy for APMT’s that moves towards growth and transform (Safer, Better, Bigger) with the ambition to become the World’s Best Terminal Company?

A.P. Moller - Maersk is an integrated container logistics company and member of the A.P. Moller Group. Connecting and simplifying trade to help our customers grow and thrive. With a dedicated team of over 80,000, operating in 130 countries; we go all the way to enable global trade for a growing world. From the farm to your refrigerator, or the factory to your wardrobe, A.P. Moller - Maersk is developing solutions that meet customer needs from one end of the supply chain to the other.

We are currently looking for a Senior Data Product Owner reporting to Data Product Portfolio Lead to join our Global Data & Analytics (GDA) APMT and Fleet Team. In this role, you will work with business, functional and platform portfolio product owners to envision and develop data products solving problems from end to end operations insights, digital twins, forecasting, optimization, carbon accounting and high impacts business challenges.

Who are we looking for?

• As a Senior Data Product Owner, you own developing and executing a data product strategy and roadmap to bring the APMT & Fleet Data & Analytics strategy to life aligning with prioritized business outcomes and meet the aspiration of innovate the way APM Terminals operate its terminals and outperform the competition.
• You draw from a deep PPM and/or SAFe Agile expertise to identify synergies and drive operational excellence for all Engineering Scrum teams working in Global Data & Analytics APMT & Fleet.
• You will engage with Product Teams, Transformation Office, and other business functions to ensure lean and effective processes internally in all Engineering Scrum Teams and interfacing across APM Terminals, Fleet, Decarbonization, IoT product and business teams.
• Envision and develop data products roadmap gathering product backlogs and ensuring developed products meets the definition of done and success.

• Develop, document and publish an automated product value and success metric framework (linked directly to the Business Outcomes, Data & Analytics Strategy) to foster continuous improvement methodologies in day-to-day activities (e.g. quality, optimization, automation)

What You Need to Succeed

• You are a dedicated and enthusiastic learner with more than 4-6 years of experience performing product owner role in a diverse organization distributed across the globe delivering communication content in clear, concise and compelling manner to various audiences,
• Diligence in careful evaluation and anticipation of risks, considering mitigations before taking any action, clearly articulating options and their impacts/consequences. Course correction, expecting to fail fast and respond efficiently.
• Ability to facilitate ongoing prioritization discussions, obtain consensus among stakeholders and carry those decisions through to communication materials, with refresh as needed
• Excellent interpersonal skills including teamwork, issue resolution, negotiation, and relationship management. Ability to demonstrate value by alleviating communications and portfolio prioritization workload(s)
• Ability to present complicated technology concepts in a simple manner, and to communicate key technology challenges or overviews relevant to senior technology leadership.
• Curiosity to learn about the technology landscape that enables APM Terminals, maintaining an extensive network with up-to-date knowledge of what has mainstream/enterprise relevance to Maersk.
• Aspirational and a strong appetite for personal development to make the most of this excellent career
  

PREFERRED QUALIFICATIONS

• Understanding of AI/ML concepts in defining data products
• Agile ways of working in technology led organizations