Freelance Technical Product Owner (ZZP)
Eisen: - Master’s degree in a relevant field (e.g., Data Science, Engineering, Computer Science) - 7+ years of professional experience, with 5+ years in data-driven roles such as data scientist, engineer, or analyst - Background in Revenue Management, Commercial Analytics or FMCG consulting is highly preferred - Proven track record delivering digital tooling, data products, or analytics platforms - Fluent English speaker – other ‘global’ language highly valued. Wensen: - Proficient in data visualization tools (e.g., Power BI) - Solid understanding of data architecture, algorithms, KPIs, and advanced analytics - Experience with agile methodologies and Scrum practices - Strong project and change management skills - Commercially aware: you understand business needs and how to translate them into impactful technology. Omschrijving: Are you ready to drive digital innovation on a global scale? At Heineken, we're looking for a Technical Product Owner to lead the development and continuous evolution of our RMG Digital Tooling – a suite of strategic tools designed to optimize revenue growth and power smarter business decisions across our global organization. In this high-impact role, you’ll bridge the gap between business needs and technical delivery, working with cross-functional experts including data scientists, engineers, designers, and commercial stakeholders. You’ll be responsible for translating strategic goals into actionable digital solutions and see them through from idea to deployment and beyond. This is more than just a product role, it’s your chance to shape the future of revenue management at one of the world’s most iconic brands. You will lead technical project delivery, define, plan, and drive end-to-end delivery of RMG digital tools in close collaboration with data & technology (D&T) teams. Ensure seamless coordination across design, development, testing, and deployment phases. Proactively identify and resolve technical risks and bottlenecks to keep delivery on track. Guide engineering and analytics teams through complex challenges with pragmatic, scalable solutions. Continuously improve digital products post-deployment based on user feedback and performance data. Partner with commercial leads and local operating companies to gather business requirements and align digital tooling with real-world use cases. Convert business challenges into clear, actionable technical specs for developers and data teams. Act as the subject matter expert on RMG data, KPIs, data models, algorithms, and dashboard logic. Ensure consistent design principles and usability across all tooling in the RMG suite. Engage senior stakeholders to gain sponsorship and alignment for digital initiatives.
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