Senior Data Analytics Manager

Role overview

Responsibilities

• Lead and develop RPA and MI/reporting teams, providing strategic direction, coaching and mentorship.
• Own the Finance Operations data, analytics and automation strategy; re-engineer processes before automation.
• Oversee more than 120 live automated processes, maintaining change management, controls, compliance and resilience.
• Manage and govern the outsourced RPA development partner against quality, commercial and delivery targets.
• Identify opportunities for Agentic AI and intelligent workflows.
• Steward an ecosystem of more than 800 tables, Gold Data and complex semantic models.
• Develop Power BI and Databricks capabilities and use emerging AI/BI technologies to provide forward-looking insight.
• Maintain accurate, secure and trusted data across Finance Operations.
• Lead transformation projects across Finance, IT and Business Operations and report progress to senior stakeholders.

Experience and qualifications

• Proven experience leading multidisciplinary teams across data, analytics and/or automation.
• Strong understanding of modern data architecture, Databricks, Gold Data and complex data models.
• Expertise in SQL, DAX and Python, with experience in data engineering, analytics or process automation.
• Strong understanding of RPA, process re-engineering and emerging Agentic AI capabilities.
• Experience managing change, governance and operational risk in a large-scale live production environment.
• Strong vendor and stakeholder management; able to challenge existing practices and translate technical strategies into business value.
• Passion for continuous improvement, innovation and emerging technology.

Benefits

• Benefits listed include product and partner discounts, a performance-based bonus, Sharesave, on-site nursery and parking, restaurants, digital GP and wellbeing services, and discounted gym memberships.
• Benefits are discretionary, subject to change, and conditions apply.