We are seeking an experienced Senior Technical Project Manager with broad technical capability and strong delivery experience to lead a portfolio of technology and digital transformation initiatives.
This is a delivery-focused role with end-to-end accountability for project scope, timelines, budgets, risks, quality and business outcomes. The successful candidate will lead projects from planning through implementation and closure, managing interdependencies, trade-offs and delivery outcomes across the portfolio.
The portfolio includes AI, machine learning and generative AI initiatives. The role will work closely with business leaders and cross-functional teams across engineering, data, platform, security and governance to translate business priorities into practical, secure and scalable solutions.
What You'll Do
- Lead the end-to-end delivery of multiple concurrent technology and digital transformation projects, from initiation and planning through implementation, monitoring and closure.
- Develop and maintain integrated project plans, schedules, critical paths, budgets and resource requirements, proactively managing cross-project dependencies and constraints.
- Take accountability for project scope, timelines, budgets, quality, risks and delivery outcomes across the portfolio.
- Facilitate business requirements-gathering sessions and translate business priorities into clear, actionable project scope, deliverables and implementation plans.
- Manage stakeholders across project sponsors, business owners, internal delivery teams and external vendors, ensuring alignment on priorities, decisions, expectations and trade-offs.
- Manage project governance, including steering committees, status reviews, decision-ready reporting, risk and issue management, and change control.
- Monitor project expenditure and forecasts against approved budgets, identifying variances and recommending corrective actions where required.
- Coordinate and influence cross-functional delivery teams without direct reporting authority, driving accountability for commitments, timelines and deliverables.
- Establish and maintain consistent project-management standards, templates, reporting and delivery discipline across the portfolio.
- Drive the achievement of measurable business outcomes and benefits realisation, beyond project completion.
- Lead the delivery of AI, machine learning and generative AI initiatives in collaboration with data, engineering, security and governance teams.
- Ensure appropriate AI governance, security, privacy and safety controls—including validation, monitoring and human oversight—are incorporated throughout the solution lifecycle and before deployment.
What We're Looking For
- At least 10 years experience managing complex technology projects end to end, including multiple concurrent initiatives.
- Proven experience delivering healthcare technology and digital transformation projects within agreed scope, timelines and budgets.
- Strong ability to facilitate requirements-gathering sessions and translate business priorities into clear project scope, deliverables and implementation plans.
- Sound knowledge of Waterfall, Agile and hybrid project-management methodologies, with the judgement to apply the most appropriate approach for each initiative.
- Technical fluency to engage effectively with engineering, data and platform teams on system architecture, integrations, APIs, data flows and delivery trade-offs.
- Ability to assess and constructively challenge assumptions, estimates and solution designs, while identifying key risks and dependencies.
- Strong stakeholder-management, negotiation and communication skills, with the ability to work effectively with senior leaders, business teams, technical teams and external vendors.
- Experience managing project budgets, forecasts, expenditure and third-party delivery partners.
- Proficiency in project and portfolio-management tools, reporting and analysis.
- Highly organised, resilient and able to manage competing priorities in a fast-paced environment.
Experience in the following areas will be valued:
- Delivering AI, machine learning or generative AI initiatives from proof of concept through production deployment.
- Applying AI safeguards, responsible AI principles, governance and applicable privacy, security or regulatory requirements.
- Familiarity with AI-assisted or agentic development tools.
- Holding relevant project management certifications, such as PMP, PRINCE2, Agile, Scrum or equivalent project-management certifications.
