Own the end-to-end delivery of AI and data solutions, from business demand intake and solution design through implementation, adoption and outcome measurement.

Work with business stakeholders and technical teams to understand requirements, document current processes and identify improvement opportunities.

Translate business needs, technical requirements and delivery constraints into practical solution designs and clear delivery plans.

Identify and assess AI and data use cases that address business challenges and deliver measurable outcomes.

Define and prioritise the delivery backlog, solution scope, milestones, dependencies and deployment plans in line with business priorities.

Apply Agile and Scrum delivery practices, including sprint planning, backlog refinement, progress reporting and impediment resolution.

Coordinate delivery across multiple technical teams, business stakeholders and third-party partners throughout the project lifecycle.

Coach delivery teams and help bridge business requirements with the appropriate technical approach.

Lead process improvement, change management, user adoption and benefits-measurement activities.

Manage multiple concurrent initiatives, priorities, dependencies and stakeholder expectations.

Identify, assess and mitigate delivery, AI/data, operational and project governance risks.

Ensure project outcomes comply with relevant governance requirements and AI/data risk standards.

Maintain awareness of emerging AI and data technologies and their potential application within the energy sector.

Minimum 8 years of relevant experience in IT project delivery, programme management, solution delivery in AI, data, analytics and delivery management.

Proven experience delivering IT projects or programmes from requirements definition through implementation and adoption.

Experience translating business needs into clear solution requirements, designs, delivery plans and measurable outcomes.

Practical understanding of AI, machine learning, automation, analytics, process improvement and data-related solutions.

Experience using or working with analytics tools such as Power BI.

Technical fluency and the ability to engage effectively with technical teams; hands-on software development experience is not essential.

Strong stakeholder-management, communication, facilitation and influencing skills.

Experience managing multiple initiatives, competing priorities, delivery dependencies and complex stakeholder expectations.

Experience identifying and managing delivery, AI/data and operational risks.

Demonstrated ability to support process change, user adoption and benefits realisation.