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- Tasks: Lead the Data & AI strategy and oversee governance in a major energy organisation.
- Company: Join a leading enterprise in the energy sector, driving innovation and transformation.
- Benefits: Enjoy a hybrid work model with flexibility and a competitive contract duration.
- Why this job: Make a significant impact during a leadership transition while collaborating with C-Suite executives.
- Qualifications: Must have senior data leadership experience and knowledge of Azure and Snowflake.
- Other info: Position based in Warwick, UK, with a minimum of 2 days on-site per week.
The predicted salary is between 72000 - 108000 £ per year.
We are seeking an experienced Interim Head of Data & AI to join a major enterprise-scale organisation in the energy sector. This is a critical leadership role operating at C-Suite level , responsible for stabilising and advancing the company’s Data, AI, and Analytics strategy during a key leadership transition. You will lead the organisation’s data governance, compliance, AI adoption, and analytics function , working closely with senior leadership and Board stakeholders to ensure strategic alignment and delivery of measurable business impact. Key Responsibilities: Develop and execute the enterprise-wide Data & AI strategy Oversee data governance, information assurance, compliance, and risk management Lead adoption of AI-powered insights and automation into business processes Engage with C-Level executives and Board members to align data initiatives with business goals Provide leadership and stability during a leadership transition phase Requirements: Proven experience as a Head of Data, Head of Data & AI, Chief Data Officer, or equivalent senior data leadership role Demonstrated ability to operate confidently at Board and C-Suite level Background in Energy, Utilities, FTSE 100-scale enterprise, or Big 4 consultancy environments Strong knowledge of Azure, Snowflake , and enterprise data governance frameworks Available to start within 2 weeks Location: Warwick, UK (Hybrid – minimum 2 days on-site per week) Contract Details: Duration: 3 to 6 months Work model: Hybrid (Warwick office, minimum 2 days/week) Start: ASAP41bf1e1f-b16b-4260-a40a-17c77a06fd15
Interim Head of Data & AI – Energy Sector employer: GCS
Contact Detail:
GCS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Interim Head of Data & AI – Energy Sector
✨Tip Number 1
Network with professionals in the energy sector, especially those who have experience in data and AI roles. Attend industry events or webinars to connect with potential colleagues and decision-makers who can provide insights into the company culture and expectations.
✨Tip Number 2
Familiarise yourself with the latest trends and technologies in data governance and AI, particularly those relevant to the energy sector. Being able to discuss these topics confidently during interviews will demonstrate your expertise and commitment to the role.
✨Tip Number 3
Prepare to articulate your leadership style and how you’ve successfully managed transitions in previous roles. Highlight specific examples where you’ve led teams through change, as this will be crucial for a position that requires stability during a leadership transition.
✨Tip Number 4
Research the company’s current data initiatives and any recent news related to their AI strategy. This knowledge will allow you to tailor your discussions and show how your vision aligns with their goals, making you a more attractive candidate.
We think you need these skills to ace Interim Head of Data & AI – Energy Sector
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data leadership roles, particularly in the energy sector. Emphasise your familiarity with AI adoption and data governance frameworks, as these are crucial for this position.
Craft a Compelling Cover Letter: In your cover letter, address how your background aligns with the responsibilities of the Interim Head of Data & AI role. Mention specific examples of how you've successfully led data initiatives at a C-Suite level and your experience with Azure and Snowflake.
Showcase Leadership Experience: Highlight your leadership skills and experience in managing teams during transitions. Provide examples of how you've engaged with senior leadership and Board members to drive strategic alignment in previous roles.
Proofread and Edit: Before submitting your application, thoroughly proofread your documents. Ensure there are no spelling or grammatical errors, and that your application presents a professional image that reflects your attention to detail.
How to prepare for a job interview at GCS
✨Showcase Your Leadership Experience
As this role is at a C-Suite level, it's crucial to highlight your previous leadership experiences. Be prepared to discuss specific examples where you've successfully led data initiatives and how you managed teams during transitions.
✨Demonstrate Industry Knowledge
Familiarise yourself with the energy sector's current trends and challenges. Discuss how your background in Energy or Utilities can contribute to the company's goals, especially regarding data governance and AI adoption.
✨Prepare for Board-Level Engagement
Since you'll be engaging with C-Level executives and Board members, practice articulating your ideas clearly and concisely. Prepare to discuss how data initiatives align with broader business objectives and deliver measurable impact.
✨Highlight Technical Proficiency
Ensure you can speak confidently about your experience with tools like Azure and Snowflake. Be ready to explain how these technologies can enhance data governance and analytics within the organisation.
