Data Platform Operations Service Manager

Welcome to Haleon. Were a purpose-driven, world-class consumer company putting everyday health in the hands of millions. In just three years since our launch, weve grown, evolved and are now entering an exciting new chapter one filled with bold ambitions and enormous opportunity. Our trusted portfolio of brands including Sensodyne, Panadol, Advil, Voltaren, Theraflu, Otrivin, and Centrum lead in resilient and growing categories. What sets us apart is our unique blend of deep human understanding and trusted science. Now its time to fully realise the full potential of our business and our people. We do this through our Win as One strategy. It puts our purpose to deliver better everyday health with humanity at the heart of everything we do. It unites us, inspires us, and challenges us to be better every day, driven by our agile, performance-focused culture. Role Purpose The Data & AI Platform Operations Service Manager is responsible for the technical operational management, stability, continuous improvement & compliance adherence of the entire Data & AI landscape being deployed and consumed in Haleon. This role is accountable for ensuring operational readiness, service reliability and performance of Data Platform Infrastructure viz Azure Data Lakes, Datafactory, Snowflake, DataBricks, and ETL/ELT pipelies. The Data Platforms Operations Service Manager manages and coaches a mid-sized, globally distributed operations team, while remaining handson in Data & AI Platform configuration and technical problemsolving. The role plays a critical part in meeting the organisations Data & AI Platform Operations, Governance, Risk, Compliance, and Data Lifecycle objectives, working closely with Architecture, Engineering, Data Governance, Sustainability Data Product teams and enterprise stakeholders. Data Platform Service Manager acts as the bridge between Engineering and Business Stakeholders to ensure trusted accessible data. Key responsibilities: Platform Operations & Service Management Own the daytoday tech operation of Data Platforms, including Data Lakes, Databricks, Unity Catalogues, ETL Data Ingestion Pipelines Azure AI platforms, Enterprise Data Foundations along with related Data Platform Technologies. Lead and Manager L2/ L3 Operations of Data Platforms Ensure 24X7 Monitoring, Alerting and Response Ensure high availability, performance, and stability of Data Platform landscape. Define and Track SLAs, SLOs and KPIs for Platform Operations. Oversee incident, problem, change, and release management, applying ITIL best practices. Own Problem Management and Root Cause Analysis of Critical and Recurring incidents. Drive Operational Excellence and continuous improvement Maintain SOPs, Runbooks and Knowledge Repositories. Ensure compliance with security, regulatory, and validation requirements across all Data Platforms. Plan, Lead and Execute OPEX cost optimization initiatives. Technical Leadership & HandsOn Contribution Provide technical leadership and direction across Data Platform Technologies. Contribute directly in a handson capacity to Data platform troubleshooting, and optimisation. Lead platform administration activities, including: Environment management and monitoring Patching and upgrades Disaster recovery and resilience planning Own the end-to-end onboarding of Data Pipelines. Define standardized onboarding frameworks, checklists and Runbooks. Identify and drive opportunities to reuse and standardise platform capabilities. Strong focus on Service Improvement Initiatives, Quality of Service, Compliance adherence, Security of data and IT resources. Release & Environment Management Define and execute release management processes for Data Engineering Products. Coordinate with development and operations teams to plan, test, and deploy releases with minimal disruption. Support CI/CD pipelines, automation, and controlled promotion across DEV, QA, and PROD environments. People & Vendor Management Lead, mentor, and develop a team of Data Platform Operations, including permanent staff, contractors, and strategic partners. Ensure appropriate capability, capacity, and skills are in place to meet operational and delivery commitments. Manage agency resources and external vendors to ensure high-quality outcomes. Foster a performancedriven, collaborative culture across globally distributed teams. Risk, Governance & Stakeholder Engagement Ensure risks and issues related to owned platforms, programmes, and projects are identified, recorded, and actively managed. Escalate and remove blockers in a complex, matrix organisation, engaging senior stakeholders as required. Ensure Timely Communication to stakeholders during outages, High Impact Incidents and Changes. Collaborate closely with Data Product & Enterprise Architecture teams including but not limited to Data Architecture, Data Engineering, Sustainability Reporting, BI, Cloud Platform Engineering, Power BI, Fabric Administration etc) and related Wel