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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 competitive compensation.
- Why this job: Make a significant impact during a leadership transition while collaborating with C-Level executives.
- Qualifications: Must have senior data leadership experience and knowledge of Azure and Snowflake.
- Other info: Contract duration is 3 to 6 months, starting ASAP.
The predicted salary is between 72000 - 108000 £ per year.
Job Description
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: ASAP
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 might influence the hiring process.
✨Tip Number 2
Familiarise yourself with the latest trends and technologies in data governance and AI, particularly within the energy sector. Being able to discuss these topics knowledgeably during interviews will demonstrate your expertise and passion for the role.
✨Tip Number 3
Prepare to showcase your leadership experience by gathering specific examples of how you've successfully led data initiatives in previous roles. Highlight your ability to engage with C-Level executives and align data strategies with business goals.
✨Tip Number 4
Research StudySmarter and our values, as well as our approach to data and AI. Tailoring your discussions around how your vision aligns with ours can set you apart from other candidates and show your genuine interest in joining our team.
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 Azure, Snowflake, and enterprise data governance frameworks.
Craft a Compelling Cover Letter: In your cover letter, address how your previous roles have prepared you for this interim position. Discuss your experience with C-Suite engagement and how you've successfully led data initiatives that align with business goals.
Showcase Relevant Achievements: Include specific examples of how you've developed and executed data strategies in past roles. Highlight measurable impacts you've made, such as improvements in compliance or AI adoption.
Proofread and Format: Before submitting your application, ensure that your documents are free from errors and formatted professionally. A clean, well-organised application reflects your attention to detail, which is crucial for a leadership role.
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. Prepare specific examples of how you've successfully led data initiatives and engaged with senior stakeholders in the past.
✨Demonstrate Industry Knowledge
Familiarise yourself with the energy sector's current trends and challenges. Be ready to discuss how your expertise in data and AI can address these issues and drive business impact.
✨Prepare for Technical Questions
Expect questions about your knowledge of Azure, Snowflake, and data governance frameworks. Brush up on these technologies and be prepared to explain how you've used them in previous roles.
✨Align with Business Goals
Understand the company's strategic objectives and think about how data and AI can support these goals. Be prepared to discuss how you would align data initiatives with the organisation's overall mission during your interview.
