Delivery Lead - Data Analytics

The Delivery Lead will own the end-to-end delivery of multiple Data & Analytics projects, products, and workstreams within an enterprise environment. The ideal candidate should have hands-on working knowledge of PySpark and Microsoft Fabric, strong agile delivery experience, and the ability to manage complex dependencies, governance, vendors, stakeholders, and executive-level reporting.

Responsibilities:

• Own end-to-end delivery of multiple Data & Analytics projects, products, workstreams, and squads, ensuring delivery against agreed scope, timelines, quality, and business outcomes.
• Coordinate multidisciplinary teams across Data Engineering, BI, Analytics, Data Architecture, Platform, and Production Support.
• Apply hands-on knowledge of PySpark and Microsoft Fabric to effectively understand technical delivery requirements, dependencies, risks, and challenges.
• Manage agile delivery processes including backlog management, sprint planning, sprint governance, release planning, UAT, deployment, and post-production hypercare.
• Develop and maintain integrated delivery plans covering milestones, dependencies, resources, risks, assumptions, issues, and key deliverables.
• Maintain RAID logs, dependency trackers, delivery metrics, action logs, and executive-level status reports.
• Identify delivery risks, blockers, and cross-workstream dependencies and drive timely resolution through appropriate escalation.
• Work closely with Product Owners, Engineering Leads, Architects, Business Stakeholders, and Support teams to maintain delivery alignment and momentum.
• Coordinate UAT activities, defect resolution, release readiness, production deployment, and hypercare support.
• Ensure delivery activities comply with enterprise governance, security, operational, audit, and change-control requirements.
• Ensure effective documentation, knowledge transfer, operational readiness, and transition of delivered solutions into support.

Requirements

• 10+ years of experience in Data & Analytics delivery, technology delivery, data engineering, or a closely related field, with significant experience leading complex enterprise-scale initiatives.
• Hands-on working knowledge of PySpark and Microsoft Fabric, with the ability to understand and engage with modern data and analytics solutions.
• Strong experience coordinating delivery across multiple Data & Analytics products, workstreams, squads, or concurrent projects.
• Practical experience with agile delivery, including backlog management, sprint governance, release planning, UAT, deployment, and hypercare.
• Strong experience maintaining integrated delivery plans, RAID logs, dependency management, delivery metrics, and executive-level status reporting.
• Proven experience coordinating multidisciplinary teams across Data Engineering, BI, Analytics, Architecture, Platform, and Support.
• Experience coordinating vendor resources, including capacity management, onboarding, offboarding, continuity, and knowledge transfer.
• Experience leading Data & Analytics delivery teams for enterprise-scale solutions, preferably within a matrix organization.
• Good understanding of data governance, data lineage, data quality, semantic models, and modern data-platform architecture.
• Strong ability to translate technical delivery requirements into clear plans, milestones, risks, dependencies, and business outcomes.
• Relevant certifications such as Agile, PMP, PRINCE2, SAFe, Scrum Master, or ITIL are desirable.
• Experience in FMCG or another fast-paced global enterprise environment is desirable.