At Ocado Technology, we craft products tailored to meet the unique needs of our partners worldwide. From e-commerce software and automated warehouse solutions to robotics and optimized delivery, we're reshaping the online grocery space and beyond through innovation. 

In Poland, we are a local team of technologists with a global scale. In the hearts of Wrocław and Kraków, we have gathered over 700 tech wizards - and let them do their magic.

ABOUT STREAM / DEPARTMENT: WHERE ARE WE LOOKING FOR?

This is a core data leadership role focused on building strong product relationships and driving data-driven decision-making within the Fulfilment Product Group. You will lead the expansion of our analytics and analytics engineering capabilities, advocating for an AI-first product thinking approach. Your expertise in causal AI and experimentation will be instrumental in shaping product roadmaps and steering strategic direction.

You will lead and develop a team of analysts and analytics engineers, fostering a consulting-oriented approach to problem-solving. You will champion best practices, build strong stakeholder relationships, and cultivate a culture of evidence-based decision-making. Your insights will directly influence product strategy and drive meaningful business outcomes.

This role reports to the Head of Data for Fulfilment and oversees a growing team based in Poland supporting global operations.

ROLE ITSELF: WHAT WILL YOU DO?

Build and maintain strong, collaborative relationships with product teams, becoming a trusted advisor. Advocate for data-driven decision-making and an AI-first approach to product development, shaping and steering product roadmaps through insights derived from techniques such as causal AI and experimentation. Lead, mentor, and develop an Analytics team, fostering a high-performance, consulting-focused culture. Drive the adoption of analytics engineering principles, optimising data pipelines and modeling for efficiency and insight generation. Collaborate with data science to implement/influence machine learning approaches to enhance our products. Translate complex analytical insights into clear, actionable recommendations that drive business impact. Provide technical guidance on SQL, Python and statistical analysis, ensuring robust methodologies are applied. Thrive in ambiguity, bringing structure and clarity to complex challenges while confidently questioning and refining strategies.

Key skills and experience:

Proven experience in building strong product relationships and influencing product strategy. Demonstrated ability to advocate for data-driven and AI-first product thinking. Experience in shaping product roadmaps through insights gained via techniques such as causal AI and experimentation. Strong leadership skills with a focus on team development, mentorship, and fostering a consulting-oriented approach. Commercial acumen, with a track record of driving business value through data insights and analytics. Strong SQL and Python skills, with experience in experimentation, hypothesis testing, and statistical analysis. Experience in product-led environments, where analytics plays a central role in product development. Strong communication and storytelling skills, with the ability to simplify complex ideas and communicate effectively. Familiarity with machine learning and causal AI concepts and their practical applications. A strategic thinker with a hands-on approach, balancing high-level direction with practical execution. Comfortable operating autonomously in dynamic and ambiguous environments.

BENEFITS: WHAT’S IN IT FOR YOU?

Work and life should fit together, so we offer a range of benefits focusing on well-being, development, and team spirit. The final package will depend on the contract type we agree on.

Standard benefits: life insurance, private health care [Luxmed], Multisport card, lunch vouchers, company share programs, and assistance for everyday worries and serious health problems. Learning opportunities: access to the Learnebly platform and LinkedIn Learning, English classes, and a book library,  Parental support: additional +10 days maternity / +20 days paternity leave, funding for nurseries and kindergartens Hybrid model: 2 days/week in the office and flexibility to work from almost any location for up to 30 days a year. Office perks: centrally located offices with car and cycling parking, and home office equipment provided. Career growth: a clear career path with opportunities to rotate between projects, teams, domains and roles under the guidance of highly skilled senior colleagues  High engineering culture: unique software engineering culture with a high level of test coverage and agile environment [read about our tech stack and engineering
practices across Ocado Technology] Speaker community: public speaking training and support for preparing presentations at conferences or meetups, including our own Ocado Technology Meetups Passions groups: running, cycling and more  Annual celebrations: carnival, summer parties, family picnics, or kid’s days.

If you’re passionate about leading analytics teams, building strong product relationships, driving data-driven decisions and AI-first thinking, and shaping the future of fulfillment, we’d love to hear from you!

At Ocado Technology, we're always exploring, learning, and implementing new initiatives, and we're eager to share stories, insights, and experiences with you. Meet our team members during meetups [Watch recordings here]