Head of Product & Delivery

BlackStone eIT is seeking a strategic and results-driven Head of Product & Delivery to lead our product development and delivery teams.

This leadership role will be responsible for overseeing the entire product lifecycle, from ideation to launch and ongoing improvement, while ensuring efficient delivery and high-quality outcomes.

The successful candidate will align product strategy with business goals, foster collaboration across teams, and drive innovation to meet customer needs.

Lead and manage the product and delivery teams, providing vision, motivation, and support. Develop and execute product strategies that align with company objectives and market demands. Oversee project delivery processes to ensure timely, high-quality product releases. Collaborate with stakeholders to define product roadmaps, priorities, and success metrics. Implement best practices in Agile and other delivery methodologies to optimize performance. Establish and monitor KPIs to assess product and delivery team effectiveness. Drive continuous improvement initiatives to enhance product quality and customer satisfaction. Manage resource allocation and budgeting to maximize efficiency and outcomes. Maintain strong communication across departments, fostering a collaborative and innovative culture. - Programme delivery across all active workstreams: executive portal, data platform, governance, AI agents, crisis management systems - Sprint execution: planning, backlog management, Definition of Done, mid-sprint check-ins, sprint reviews with live demos - External vendor coordination: tracking classification vendor milestones against your integration needs; tracking agentic platform delivery against your data readiness timeline - Stakeholder management: milestone reports to senior leadership, weekly status updates, requirements conversations with internal business owners - Scope discipline: deciding what gets cut when time is at risk, deferring gracefully, tracking deferred work - Resource management: contractor onboarding, work package definition, daily task allocation, quality review - User acceptance testing: designing and facilitating UAT with non-technical end users and senior leadership - Delivery risk management: identifying risks before they become blockers, maintaining a cleared backlog that proceeds when external dependencies are slow - Office representation: authorized to represent the Data & AI Office at all levels when technical leadership is unavailable