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.