Data Delivery Project, Contract

Morgan Mckinley Limited

Hong Kong

On-site

HKD 900,000 - 1,500,000

Full time

7 days ago
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Job summary

Morgan McKinley Limited is seeking an experienced IT project delivery leader to own end-to-end AI and data solution delivery. You will work with business and technical teams to translate requirements into practical designs and clear delivery plans.

The role focuses on prioritising backlogs, coordinating multiple teams, and driving adoption and benefits realisation within a dynamic energy sector environment.

Qualifications

  • Degree in IT/CS/Information Engineering or related discipline.
  • 8+ years of IT project delivery experience.
  • Certifications such as PMP, PRINCE2, Agile, Scrum Master preferred.
  • Experience delivering IT projects or programmes from requirements through implementation and adoption.
  • Experience translating business needs into clear solution requirements, designs and delivery plans.
  • Practical understanding of AI, machine learning, automation, analytics and data solutions.
  • Experience using analytics tools such as Power BI.
  • Hands-on engagement with technical teams; coding not required.
  • Strong stakeholder-management, communication, facilitation and influencing skills.
  • Experience managing multiple initiatives, dependencies and complex stakeholder expectations.

Responsibilities

  • Own the end-to-end delivery of AI and data solutions from intake through measurement.
  • Collaborate with business and technical teams to document requirements and identify improvements.
  • Translate business needs and constraints into practical solution designs and delivery plans.
  • Identify and assess AI and data use cases addressing business challenges.
  • Define and prioritise the delivery backlog, milestones and deployment plans.
  • Apply Agile and Scrum practices, plan sprints, refine backlog and resolve impediments.
  • Coordinate delivery across multiple teams and third-party partners.
  • Coach delivery teams bridging business requirements with technical approaches.
  • Lead change management, user adoption and benefits measurement activities.
  • Identify and mitigate delivery, AI/data and governance risks.

Skills

Delivery management
Stakeholder management
Agile/Scrum
Requirements gathering
Change management
Risk management
Leadership
Communication
Multiple initiatives

Education

Degree in IT/CS/Info Eng

Tools

Power BI

Job description

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.

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