Project Manager - Data & AI Delivery

Role Summary : Manage execution timelines, sprint planning, dependencies, risks, budgets and stakeholder communication so the team keeps a predictable delivery rhythm. Key Responsibilities : - Run sprint planning, weekly reviews, milestone tracking and transparent progress reporting. - Coordinate across business, data engineering, BI, analytics and architecture teams to remove blockers. - Track risks, dependencies and budgets; maintain release readiness. - Protect the team's focus time from scope creep and ad-hoc requests. What We Expect From You : - Keep every workstream visible and on schedule without micromanaging technical decisions. - Surface blockers early and resolve cross-team dependencies before they cause delays. - Balance business urgency with realistic engineering timelines. - Maintain clear, honest status communication with leadership; no surprises at deadline. Qualifications & Skills : - 5 - 8 years managing software, data, analytics or AI development and delivery; agile/scrum experience. - Strong risk, dependency and budget management. - Excellent written and verbal communication with senior stakeholders. - PMP, PRINCE2 or Certified Scrum Master certification is a plus. How the Team Works : Work flows from business demand intake through discovery, solution design, data foundation, dashboard and AI build, testing and adoption, to delivery governance and monthly continuous improvement. Every role in the team has a defined place in this flow and clear ownership of its outcomes.