Delivery Lead – Automation & Insights

Key Responsibilities Delivery Coordination & Oversight

• Own end-to-end delivery across A&I work streams (e.g., platform elevation, self-service, GenAI, automation, culture & change).
• Define and manage scope, milestones, RAID logs (Risks, Assumptions, Issues, Dependencies), and critical path.
• Lead delivery cadence through agile ceremonies: stand-ups, planning, refinement, reviews, and retrospectives.
• Maintain a clear delivery roadmap aligned to strategic outcomes.
• Collaborate with Product Owner, Architecture and Engineering Leads to support technical deliveries.
• Contribute to the continuous improvement of agile/delivery practices.

• Act as the primary delivery interface for stakeholders at the workstream level, ensuring clarity on timelines, scope, and dependencies.
• Escalate cross-workstream or portfolio-level risks and decisions to Delivery function as needed.
• Track and report delivery metrics such as velocity, burn-down/burn-up charts, and planned vs actual delivery at sprint levels & higher cadences as needed.
• Deliver regular updates on project status, risks, and mitigation strategies.
• Ensure delivery outcomes are tightly linked to product and business value
• Support the Delivery function and A&I leadership with materials for senior forums and steering groups.

• Identify and elevate delivery risks and blockers early, with actionable mitigation.
• Manage Change Requests (CRs), impact assessments, trade-offs, and decision logs.
• Help manage dependencies across teams and coordinate resolutions.
• Facilitate conflict resolution where multiple stakeholders or verticals intersect.
• Ensure continuity and handover from project delivery into business-as-usual.

• Support change adoption and transition across teams, particularly around culture, skills, and ways of working.
• Ensure release readiness, including cutover planning, rollback strategies, and post-release validation & support.
• Help design and ope rationalise delivery models aligned to A&I's operating model.
• Contribute to readiness assessments and communication planning for go-lives and rollouts.
• Foster a culture of accountability, transparency, and continuous improvement within delivery teams.

• 3+ years in technical project management (preferred).
• 2+ years' experience delivering data, AI, or automation programmes, working closely with data engineering teams.
• Strong organisational skills with a proven track record in multi-stream delivery with successful delivery of a variety projects in data & analytics.
• Demonstrated experience in stakeholder communication and senior-level reporting.
• Familiarity with agile methodologies and project governance.
• Confident working across business and technical teams — able to translate delivery requirements across both.
• Excellent written and verbal communication skills, with a focus on clarity and impact.
• A proactive, hands-on mindset with strong problem-solving capabilities.