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.
Key Responsibilities:
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
- 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
Requirements
Bachelors or Masters degree in Business, Computer Science, Engineering, or related field
Minimum 10+ years of experience in product management and delivery leadership roles
Proven track record of successfully managing product portfolios and delivery teams
Strong knowledge and experience with Agile methodologies and software development lifecycles
Excellent leadership and people management skills with the ability to build and mentor high-performing teams
Exceptional strategic thinking, problem-solving, and decision-making abilities
Strong communication and stakeholder management skills
Experience with project management tools and product management platforms
Ability to manage multiple projects and priorities in a fast-paced environment
Experience in the technology or software industry is highly preferred
Required Skills & Experience
- Has shipped working software to real users under a hard deadline — owned the outcome, not just managed the timeline
- Agile/sprint delivery in small engineering teams (2-8 people) producing working output, not status updates
- Technical fluency: can read an OpenAPI spec, evaluate engineering estimates, identify scope creep, and challenge "its complex" when its really "I havent started"
- Vendor management: has managed external delivery engagements and held vendors accountable to milestones
- Writing functional requirements with testable acceptance criteria
- UAT design and facilitation for non-technical executives
- Risk identification and escalation — knows the difference between a delay and a blocker
- Stakeholder communication at C-suite level — can write a one-page status note that senior leadership reads and trusts
- Programme management across multiple concurrent workstreams (3-5 simultaneous)
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