Senior Product Owner ( M/F/D )

Job description

We're looking for someone to help build out an Asset Needs Management (ANM) product, the system that decides how maintenance, replacement, and risk-related needs get identified, assessed, and prioritized on critical infrastructure. You'd work closely with a Product Owner, Asset Managers, data people, and IT, part product thinking, part hands-on technical digging. There's real room to take ownership here: you'd own specific topics end-to-end, and over time become someone who can step in for the Product Owner when needed. What You'll Do: Help shape and deliver the ANM roadmap alongside the Product Owner Own specific topics fully, from framing the problem to getting it implemented Examine maintenance, replacement, and risk-mitigation processes and identify improvements Write, test, and validate the logic and rules behind how asset needs get generated Use Python to analyze datasets, test hypotheses, investigate anomalies, and challenge assumptions Identify data-quality issues, assess their business impact, and push for fixes Run workshops with Asset Managers and others, bringing structure to complex discussions Be the go-between for Asset Management, Product, Data, and IT Put together recommendations, documentation, and materials people can act on Help with backlog refinement, prioritization, testing, and releases Monitor how the product is actually performing and speak up when something should change Cover for the Product Owner when needed, alignment calls, backlog calls, ceremonies Experience in product delivery, digital transformation, process improvement, or data-driven decision-making Background working across business, tech, and data, ideally in an industrial, infrastructure, or utility setting Solid, hands-on Python, you use code to answer business questions, not just run scripts You can take something vague and turn it into clear options and next steps You can explain complicated things simply, and get senior people on board without needing authority over them Autonomous, pragmatic, curious, you don't need much hand-holding Comfortable going deep into a topic when it calls for it, but can also zoom out Good at running workshops and managing stakeholders Comfortable being part of backlog and roadmap decisions, not just executing them Master's degree in Business, Engineering, Data, or a related field Bonus: experience in Asset Management, maintenance or reliability engineering, EAM systems, or similar Bonus: Power BI or other data platform experience English required professionally; Dutch and/or French is a plus You'll have the chance to work at the heart of the energy transition, on technology that's actually shaping how the sector moves forward, with a genuine focus on well-being and a diverse, passionate team that likes sharing knowledge and pushing things forward together. All our positions are open to both women and men and are, of course, open to people with disabilities. Everience is an international consulting group delivering AI-augmented digital services and placing people at the heart of the AI revolution. With a presence in Europe, Africa, Asia and America, Everience offers its 4,000-strong workforce the most demanding and stimulating environment in which to transform and develop their skills, learning about new AI-based roles and building their future employability. Through its Symbiotic Academy the group offers a unique hub for training, practical application and exchange where everyone can experiment, learn, and progress in the fields of artificial intelligence and data. In accordance with its core purpose of orchestrating the symbiotic relationship between humans and AI in the workplace, Everience is making the augmented employee the driving force of a “symbiotic age”, where AI enhances talents and opens up new career opportunities.