Delivery Lead - Data Analytics

The Delivery Lead will be responsible for the end-to-end delivery of multiple Data and Analytics projects, products, and workstreams within a large enterprise environment. This role requires a hands-on understanding of PySpark and Microsoft Fabric, combined with strong agile delivery expertise. The ideal candidate will effectively manage complex dependencies, governance, vendors, stakeholders, and provide executive-level reporting to ensure successful delivery aligned with business objectives.

Key Responsibilities

- Own the full delivery lifecycle of multiple Data and Analytics initiatives, ensuring adherence to scope, timelines, quality standards, and desired business outcomes.
- Coordinate cross-functional teams including Data Engineering, Business Intelligence, Analytics, Data Architecture, Platform, and Production Support to maintain alignment and momentum.
- Utilize hands-on knowledge of PySpark and Microsoft Fabric to grasp technical delivery requirements, identify risks, and address challenges proactively.
- Manage agile delivery processes such as backlog grooming, sprint planning, sprint governance, release planning, user acceptance testing (UAT), deployment, and post-production hypercare.
- Develop and maintain integrated delivery plans that capture milestones, dependencies, resource allocation, risks, assumptions, issues, and key deliverables.
- Maintain comprehensive RAID logs, dependency trackers, delivery metrics, action logs, and prepare executive-level status reports.
- Identify and resolve delivery risks, blockers, and cross-workstream dependencies, escalating issues as needed to ensure timely resolution.
- Collaborate closely with Product Owners, Engineering Leads, Architects, Business Stakeholders, and Support teams to sustain delivery alignment.
- Coordinate UAT activities, defect management, release readiness, production deployment, and hypercare support to ensure smooth transitions.
- Ensure all delivery activities comply with enterprise governance, security, operational, audit, and change-control policies.
- Facilitate effective documentation, knowledge transfer, operational readiness, and transition of solutions into support teams.

Required Qualifications

- Over 10 years of experience in Data and Analytics delivery, technology delivery, data engineering, or related fields, with a proven track record of leading complex, enterprise-scale projects.
- Hands-on working knowledge of PySpark and Microsoft Fabric, enabling engagement with modern data and analytics platforms.
- Extensive experience managing delivery across multiple Data and Analytics products, workstreams, squads, or concurrent projects.
- Practical expertise in agile delivery methodologies, including backlog management, sprint governance, release planning, UAT, deployment, and hypercare support.
- Strong skills in maintaining integrated delivery plans, RAID logs, dependency management, delivery metrics, and executive reporting.
- Demonstrated ability to coordinate multidisciplinary teams spanning Data Engineering, BI, Analytics, Architecture, Platform, and Support functions.
- Experience managing vendor resources, including capacity planning, onboarding/offboarding, continuity, and knowledge transfer.
- Proven leadership of Data and Analytics delivery teams within enterprise-scale solutions, preferably in matrix organizational structures.
- Solid understanding of data governance, data lineage, data quality, semantic models, and modern data platform architectures.
- Ability to translate complex technical delivery requirements into clear plans, milestones, risk assessments, dependencies, and measurable business outcomes.

Preferred Qualifications and Benefits

- Relevant certifications such as Agile, PMP, PRINCE2, SAFe, Scrum Master, or ITIL are highly desirable.
- Experience working in fast-paced global enterprises, particularly within the FMCG sector or similar industries, is advantageous.

This role offers the opportunity to lead critical data and analytics delivery initiatives in a dynamic enterprise setting, working with cutting-edge technologies and cross-functional teams to drive impactful business results.