Head of AI and Automation Accelerator

Overview

In this role, you will lead the AI and Automation Accelerator within DDSS, shaping how AI and automation are scaled and governed across the organisation. You will define strategy, roadmaps and governance to move ideas from discovery to scaled delivery, while engaging senior stakeholders and ensuring responsible and data-enabled transformation. You will champion innovation, define value-driven use cases and build capability for sustainable adoption that delivers measurable impact. This is a high-impact leadership position at a pivotal moment for modernising services for citizens and colleagues.

Pay / Benefits

• highly-flexible working

Responsibilities

• Lead the AI and Automation Accelerator function, setting vision, priorities and operating model
• Identify, assess and prioritise high-value AI and automation opportunities across the organisation
• Develop and maintain delivery roadmaps, business cases and governance arrangements
• Move opportunities from discovery through to implementation and scale in collaboration with technical, operational and policy teams
• Ensure alignment with organisational strategy, data governance, ethics and assurance requirements
• Build strong relationships with senior stakeholders and act as trusted advisor on AI adoption
• Champion a culture of innovation, capability-building and continuous improvement
• Monitor outcomes, benefits and lessons learned to support ongoing scaling

Key requirements

• Proven experience delivering a strategic programme of data and AI projects
• Extensive experience delivering in an agile, iterative manner that delivers value early
• Ability to mediate difficult discussions and translate complex concepts for non-technical executives
• Expert knowledge of the product/service lifecycle as applied to data and AI products
• Expert knowledge of innovative data and AI technologies
• Desirable knowledge of energy sector data and AI challenges and regulatory implications

• Stakeholder engagement and relationship building
• Strategic thinking with delivery focus
• Communication of complex concepts to diverse audiences
• Data and AI technologies
• Governance and assurance for data/AI projects
• Roadmapping and business case development

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