Commercial Data & AI Readiness Lead
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Role details
Tech stack
Job description
The Commercial function’s data is currently fragmented, which limits its ability to adopt AI and slows confident, optimal decision-making. This 12 month fixed-term role exists to deliver the foundational data work that changes what auditing what exists today, then defining and specifying the priority commercial datasets so our AI squads can build them into the company’s data platform (Azure Databricks).
As part of this role, you’ll be responsible for:
- Conduct a full audit of all commercial data sources currently in use across the business
- Identify reporting gaps, inconsistencies, and duplicated or localised reporting practices
- Engage stakeholders across Commercial, Finance, and Group Data to capture priorities and requirements
- Agree exact, consistent data points required across the business
- Own the definitions and arbitrate decisions through the build, unblock issues, and check each delivered dataset against its specification
- Create a full specification for the commercial reporting suite
- Produce high-level dashboard requirements to guide future build
- Create a phased, actionable AI roadmap aligned to the wider Commercial Transformation programme
- Work closely with Commercial, Finance, and Group Data teams to ensure alignment and buy-in
- Maintain clear boundaries of scope - this role is not responsible for building data pipelines, reporting suites or deploying AI tools, but for laying the groundwork that enables them
You’ll work closely with the Product Lead, the role holder will make focused, “no-regrets” progress across data auditing, dataset definition, driving reporting design and AI readiness, preparing the Commercial team to draw full value from its AI capability.
Requirements
- Strong understanding of retail commercial operations including the roles, processes and functions of a retailer (Essential)
- Proven experience auditing and rationalising complex, multi-source commercial data landscapes
- Strong working knowledge of Databricks, Unity Catalog, medallion architecture and modern data pipeline approaches
- Understanding of how to structure, catalogue and govern data so it is ready to be consumed by AI and analytics tools
- Experience defining reporting suite specifications and dashboard requirements in a commercial or retail context
- Strong stakeholder management skills, with the ability to align multiple teams (Commercial, Finance, Group Data) around a shared data strategy
- Ability to work at pace within a fixed timeframe, prioritising “no-regrets” foundational work over full-scope delivery
- Excellent communication skills, comfortable presenting findings and recommendations to senior stakeholders for directional sign-off
- Experience working within large-scale commercial transformation programmes is highly desirable
Benefits & conditions
We know our people are the secret to our success. That’s why we’re always looking for ways to reward great work. You’ll find a host of benefits designed to work for you, including:
- 25 days of annual leave
- Competitive pension scheme
- Access to discretionary company bonus scheme
- Life Assurance
- Staff discounts and offers
- Hybrid working
Join our team and we’ll be with you every step of the way, helping you develop the career you want with new opportunities, on-going training and skills for life.
Not only can you shape your own future, but you can help take charge of ours too. As the biggest recycler and repairer of tech in the UK, we’re in a position to make a real impact on people and the planet.
About the company
At Currys we’re united by one passion: to help everyone enjoy amazing technology. As the UK’s best-known retailer of tech, we’re proud of the service our customers receive - and it’s all down to our team of 25,000 caring and committed colleagues. Working as one team, we learn and grow together, celebrating the big and small moments that make every day amazing.
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