Head of AI Acceleration & Delivery - Aldermaston

Head of AI Acceleration & Delivery - Aldermaston,Berkshire, RG7 4PRJob Type: Full-TimeSalary:NegotiableHead of AI Acceleration & Delivery Location: RG7 4PR,located between Reading and Basingstoke, with free onsiteparking.Package: Competitive leadership salary depending onexperience, performance related bonus, flexible benefitscheme.Working pattern: AWE operates a 9-day working fortnight. Wewill consider flexible working requests so that your work may fitin with your lifestyle. Just let us know your preferred workingpattern on your application. Let us introduce the role We areseeking a visionary and strategic leader to join our team as theHead of AI Adoption. The successful candidate will lead theintegration of artificial intelligence technologies across ourorganisation with an emphasis on driving innovation, efficiency,and productivity. The role will lead AI adoption across corporatefunctions, support engineering and operations colleagues drive AIadoption in these critical functions, whilst collaborating andsupporting Science and NTR colleagues with their existinghigh-performance computing (HPC), machine learning (ML) and AIinitiatives. This role requires deep understanding and significantexperience of AI technologies, ideally with application in anengineering or manufacturing environment, and the ability to leadcross-functional teams. Some of the Key Responsibilities:DevelopingAI Strategy: Crafting a comprehensive AI strategy that aligns withthe organization/'s goals and objectives. Stakeholder Engagement:Communicating the benefits and limitations of AI to both technicaland non(1)technical stakeholders to build buy-in and support, leadengagement with key external stakeholders, including MoD,Government, DAICImplementation Roadmap: Creating a detailed roadmapfor AI adoption across a range of use cases, including timelines,necessary infrastructure, tools, and personnelIdentifying UseCases: Collaborating with business leaders to uncover andprioritize AI use cases with high business value andfeasibilityMonitoring and Evaluation: Overseeing AI experiments andprojects to ensure they meet desired outcomes and inform bestpracticesTraining and Enablement: Providing resources, training,and self-service tools to enable both professional and citizendevelopers within the organizationEthical AI Practices: Ensureethical adoption of AI, including ethical risk assessments, as wellas contribute to AWE guidance on AI ethicsStrategy Development:Develop and execute a comprehensive AI adoption strategy alignedwith the company/'s engineering, scientific, and manufacturinggoals. Identify and prioritize AI opportunities to enhanceoperational efficiency, product quality, and customersatisfactionLeadership and Collaboration: Lead a multidisciplinaryteam of AI specialists, data scientists, engineers, andmanufacturing experts from across our organisation. Foster aculture of innovation and continuous improvement within theorganization. Collaborate with other departments, includingOperations, Engineering and Science & High PerformanceComputing (HPC), to ensure seamless AI integrationAIImplementation: Oversee the design, development, and deployment ofAI solutions in engineering and manufacturing processes. Ensure AIsolutions meet regulatory standards and industry best practices.Monitor and evaluate the performance of AI systems and processes,making data-driven adjustments as necessaryTraining and Support:Provide training and support to AWE employees on AI technologiesand their applications. Ensure AI team members are equipped withthe necessary skills and knowledge to leverage AIeffectivelyResearch and Development: Monitor emerging AI trends andtechnologies relevant to engineering and manufacturing. Driveinnovative AI solutions to maintain the company/'s competitiveedgeAI Ethics & Security: Maintain a robust AI ethics frameworkbuilt on best practice standards Ensure compliance with theframework including maintenance of ethics risk assessmentsEngagewith colleagues across the organisation (e.g. Security and Legal)to both develop proportionate AI centric policies and designappropriate mitigations for the AI risks Whilst not to beconsidered a tick list, we/'d like you to have experience in someof the following:Educated to postgraduate level or equivalentexperienceExperience of leading, managing, and motivating teams todeliverProven experience in leading AI projects within anengineering and manufacturing environmentExtensive experience inproject management, team leadership, and strategic planningStrongunderstanding of AI technologies, machine learning algorithms, anddata analyticsEvidence of effective stakeholder management in acomplex multi(1)stakeholder environmentTrack record of drivingdelivery, continuous improvement, and sustained performancefocusing activities on key business issues and outcomesEvidence ofmanagement interpretation and presentation of performance focusingactivities on key business issues and outcomesEvidence of leadingand managing changeExperience in problem solving to resolve,minimise, or mitigate risk and maximise opportunitiesExcellentleadership skills with a focus on driving high performance anddevelopmentThe ability to translate complex technical concepts intopractical solutionsStrong problem-solving and analyticalskillsProficiency in programming languages commonly used in AI(e.g. Python, R)Capable of maintaining a high degree ofeffectiveness in a multitask role, managing priorities anddelivering to challenging timescalesAble to work at a strategiclevel to assimilate and analyse information quickly to assess andresolve issues and execute solutions.Robust judgement and theability to seek and challenge information to reach and makedecisionsStrong influencer with excellent interpersonal,engagement, and presentation skills to executive levelProven clearand concise communication skillsDemonstrable negotiating andinfluencing skills, and the ability to convince through personalcredibilityBusiness and financial acumen to provide strategic andtactical insight and thinking depending on the needs of thebusinessAbility to drive transformation, change, and continuousimprovement through collaboration and leading by example.Demonstrable commitment to and an understanding of diversity,equality, and inclusion Some reasons we think you/'ll love it here:AWE has wide range of benefits to suit you. These include:9-dayworking fortnight - meaning you get every other Friday off work, inaddition to 270 hours of annual leave. Market leading contributorypension scheme (we will pay between 9% and 13% of your pensionablepay depending on your contributions).Family friendly policies:Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 WeeksFull Pay.Opportunities for Professional Career Developmentincluding funding for annual membership of a relevant professionalbody.Employee Assistance Programme and Occupational HealthServices.Life Assurance (4 x annual salary).Discounts - access tosavings on a wide range of everyday spending.Special Leave Policyincluding paid time off for volunteering, public service (includingreserve forces) and caring. The /'Working at AWE/' page on ourwebsite is where you can find full details in the /'AWE BenefitsGuide/'.