Initial 3-month contract (HIGHLY like to be extended) - Interim Data Product Manager - Incredible opportunity with a global market leading brand.
Home based with a very small amount of travel to the HQ's
My client is looking for a strong Data Product Manager to hit the ground running and work closely with the data delivery team.
You will own the vision, roadmap, and execution of data-powered products that drive business growth. You'll collaborate with the data delivery team, data engineers, analysts and stakeholders to build scalable solutions!
What You Bring
- Must have experience working with Customer matching and ideally MDM solutions.
- Experience leading data, analytics, or AI/ML-driven product initiatives.
- Strong understanding of data architecture, SQL and modern data platforms.
- A data product mindset with a passion for usability, experimentation, and continuous discovery.
- Candidates need to be able to unpick complex technical, and business demands and extracting what the data needs.
- Must be clear and concise in communication to stakeholders, with the ability to explain complex technical ideas and elicit further information and decisions from stakeholders in a structured and organised fashion.
- Excellent communication and stakeholder management skills and the ability to translate technical work into business value.
- Happy to be hands-on when needed.
If this sounds like you then please do get in touch.
Interim Data Product Manager in England employer: Eden Smith Group
Join a leading organisation renowned for its commitment to data innovation and transformation, where you will be part of a dynamic team dedicated to enhancing customer management systems. With a strong focus on employee development, you will have access to extensive training opportunities and the chance to work alongside industry experts in a collaborative and supportive remote environment. This role not only offers competitive compensation but also the unique advantage of contributing to significant enterprise-level projects that shape the future of data management.
