Senior Data Analytics Manager

This is a high-impact interim opportunity for a Senior Data Analytics Manager to lead a large-scale data, analytics, AI and automation function within a highly data-driven organisation. You’ll play a key role in maintaining operational continuity whilst driving improvements across reporting, automation, self-service analytics and AI capabilities. The Company They are a large retail organisation operating complex, enterprise-scale data environments that support critical business operations. With a strong focus on innovation, they continue to invest heavily in data platforms, analytics capabilities, process automation and AI-driven solutions. You will join a business committed to improving decision-making through data, intelligent automation and scalable technology. The Role and Deliverables

• Lead the Data, Analytics, Reporting and Automation functions, managing both reporting and RPA leadership teams.
• Own and evolve the Finance Operations data strategy within a Databricks environment.
• Drive adoption of self-service analytics, semantic models and Power BI best practices across the business.
• Provide leadership for AI and GenAI initiatives, including intelligent automation and future AI capabilities.
• Oversee reporting governance, data quality, testing standards, security models and platform optimisation.
• Lead a large-scale RPA operation, managing outsourced delivery partners and identifying opportunities to improve operational efficiency through automation.

• Strong leadership experience across Data Analytics, Business Intelligence, Data Engineering, RPA, Process Automation or related technology functions.
• Proven expertise working with Databricks in enterprise-scale data environments.
• Advanced capabilities in Python development and SQL engineering.
• Strong Power BI expertise, including governance, semantic models, security and self-service reporting frameworks.
• Experience developing and scaling data platforms that support large volumes of operational and business data.
• Experience leading RPA and process automation initiatives, including management of third-party delivery partners.
• Exposure to AI, GenAI, machine learning or intelligent automation initiatives within a business environment.
• Strong stakeholder management skills with the ability to translate technical concepts into business outcomes.
• Ability to operate strategically whilst remaining technically credible and hands-on when required.

Skills

• Data Engineering
• Self-Service Analytics
• Semantic Models
• Business Intelligence (BI)
• Data Governance
• Databricks
• Power BI
• Python
• SQL
• Data Analytics Leadership