Head of Ai Acceleration

Head of AI Acceleration & Delivery

Location: RG7 4PR, located between Reading and Basingstoke, with free onsite parking.

Package: Competitive leadership salary depending on experience, performance related bonus, flexible benefit scheme.

Let us introduce the role

Some of the Key Responsibilities:
- Developing AI Strategy: Crafting a comprehensive AI strategy that aligns with the organization's goals and objectives. Stakeholder Engagement: Communicating the benefits and limitations of AI to both technical and non[1]technical stakeholders to build buy-in and support, lead engagement with key external stakeholders, including MoD, Government, DAIC- Implementation Roadmap: Creating a detailed roadmap for AI adoption across a range of use cases, including timelines, necessary infrastructure, tools, and personnel- Identifying Use Cases: Collaborating with business leaders to uncover and prioritize AI use cases with high business value and feasibility- Monitoring and Evaluation: Overseeing AI experiments and projects to ensure they meet desired outcomes and inform best practices- Training and Enablement: Providing resources, training, and self-service tools to enable both professional and citizen developers within the organization- Ethical AI Practices: Ensure ethical adoption of AI, including ethical risk assessments, as well as contribute to AWE guidance on AI ethics- Strategy Development: Develop and execute a comprehensive AI adoption strategy aligned with the company’s engineering, scientific, and manufacturing goals. Identify and prioritize AI opportunities to enhance operational efficiency, product quality, and customer satisfaction- Leadership and Collaboration: Lead a multidisciplinary team of AI specialists, data scientists, engineers, and manufacturing experts from across our organisation. Foster a culture of innovation and continuous improvement within the organization. Collaborate with other departments, including Operations, Engineering and Science & High Performance Computing (HPC), to ensure seamless AI integration- AI Implementation: Oversee the design, development, and deployment of AI solutions in engineering and manufacturing processes. Ensure AI solutions meet regulatory standards and industry best practices. Monitor and evaluate the performance of AI systems and processes, making data-driven adjustments as necessary-
- Research and Development: Monitor emerging AI trends and technologies relevant to engineering and manufacturing. Drive innovative AI solutions to maintain the company’s competitive edge- AI Ethics & Security: Maintain a robust AI ethics framework built on best practice standards Ensure compliance with the framework including maintenance of ethics risk assessments- Engage with colleagues across the organisation (e.g. Security and Legal) to both develop proportionate AI centric policies and design appropriate mitigations for the AI risks

Whilst not to be considered a tick list, we’d like you to have experience in some of the following:
- Educated to postgraduate level or equivalent experience- Experience of leading, managing, and motivating teams to deliver- Proven experience in leading AI projects within an engineering and manufacturing environment- Extensive experience in project management, team leadership, and strategic planning- Strong understanding of AI technologies, machine learning algorithms, and data analytics- Evidence of effective stakeholder management in a complex multi[1]stakeholder environment- Track record of driving delivery, continuous improvement, and sustained performance focusing activities on key business issues and outcomes- Evidence of management interpretation and presentation of performance focusing activities on key business issues and outcomes- Evidence of leading and managing change- Experience in problem solving to resolve, minimise, or mitigate risk and maximise opportunities- Excellent leadership skills with a focus on driving high performance and development- The ability to translate complex technical concepts into practical solutions- Strong problem-solving and analytical skills- Proficiency in programming languages commonly used in AI (e.g. Python, R)- Capable of maintaining a high degree of effectiveness in a multitask role, managing priorities and delivering to challenging timescales- Able to work at a strategic level to assimilate and analyse information quickly to assess and resolve issues and execute solutions.- Robust judgement and the ability to seek and challenge information to reach and make decisions- Strong influencer with excellent interpersonal, engagement, and presentation skills to executive level- Proven clear and concise communication skills- Demonstrable negotiating and influencing skills, and the ability to convince through personal credibility- Business and financial acumen to provide strategic and tactical insight and thinking depending on the needs of the business- Ability to drive transformation, change, and continuou