Data Delivery Project, Contract

Responsibilities

• 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.

Requirements

• Degree in Information Technology, Computer Science, Information Engineering or a related discipline.

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

• Professional certifications such as PMP, PRINCE2, Agile, Scrum Master, or equivalent are preferred.

• 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.