Start Date
Immediate
Expiry Date
04 Sep, 25
Salary
0.0
Posted On
05 Jun, 25
Experience
0 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Product Management, Data Analytics, Data Engineering
Industry
Information Technology/IT
SKILLS
Data Product Management,Data Analytics,Data Engineering
ABOUT UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process
Location: Nottingham
Immediate start
Hybrid working with 3 days onsite at client office
Fixed term contract for an initial 6 months duration with possible extensions
The Data Product Manager role is responsible for defining, delivering, and managing data-centric products and solutions. This role bridges the gap between business needs, customer requirements, and technical development, ensuring the successful implementation of data-driven strategies. The Data Product Manager will work with cross-functional teams to create data products that provide actionable insights, enhance business intelligence, and support strategic decision-making.
This role will act as an advocate for the Data Office and Data Platform, engaging with divisional teams to define requirements and ensure the design of end-to-end solutions, clear statements of deliverables, outcomes, and delivery plans to enable progression to the delivery stage. It requires strong stakeholder management, attention to detail, interpersonal and communication skills, and the ability to consider views and opinions across both business and IT teams. The role is responsible for ensuring solutions are defined and aligned with the Data Office and Data Platform strategies while maintaining data security, trust, and governance.