Responsibilities

• Lead the efficient and scalable delivery of campaign evaluations across SMG's Retail Media Networks, ensuring they are accurate, delivered on time and meet agreed service levels.
• Design and continuously improve workflows to increase efficiency, consistency and scalability across the insight function.
• Identify opportunities to automate manual processes, using AI and other tools to streamline repetitive tasks and improve ways of working.
• Partner with platform and technology teams to develop longer-term automation and process improvements.
• Champion data quality by embedding robust quality assurance and validation processes, reducing manual errors and ensuring consistent outputs.
• Monitor delivery performance, proactively identifying bottlenecks and implementing solutions to keep projects on track.
• Coordinate resources across multiple Retail Media Networks, ensuring work is allocated effectively and teams have the tools and processes they need to succeed.
• Lead, coach and develop a team of eight Data Assistants, setting clear objectives, supporting their growth and driving high performance across the team.

Requirements

• Experience working with data workflows and reporting processes, with the ability to interrogate and validate outputs (e.g. using Excel, SQL, or similar tools)
• Practical experience using automation or AI tools to streamline manual tasks and improve workflows
• Demonstrated experience improving processes and identifying opportunities to increase efficiency and consistency
• Working knowledge of coding languages such as SQL or Python, with the ability to use them to support analysis or process improvement
• Ability to create clear documentation and structured processes that enable scalable and repeatable ways of working
• Strong problem-solving skills, with the ability to understand and improve end-to-end workflows
• Experience supporting delivery teams or workflows, ensuring outputs are accurate, timely, and aligned to SLAs

Preferred

• Familiarity with campaign measurement or retail media
• Experience with Power BI, Tableau or similar
• Familiarity with data warehouses and APIs
• Experience improving processes using structured approaches (e.g. Lean, Six Sigma or similar)

Benefits

• 10% discretionary bonus
• £1,800 yearly wellbeing fund (on top of your salary!)
• Free Headspace subscription
• £500 yearly “Uni Fund” for learning
• 4 extra Wellbeing Days off per year
• Summer & Winter conferences + year-round celebrations
• 4pm finishes every Friday
• Flexible and hybrid working