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- Tasks: Lead the evolution of data and AI capabilities for a global organisation.
- Company: Join a leading tech firm driving digital transformation.
- Benefits: Competitive pay, hybrid work model, and opportunities for professional growth.
- Why this job: Shape the future of data and AI in a pivotal leadership role.
- Qualifications: Proven experience in executive data and AI leadership within large organisations.
- Other info: Collaborative environment with a focus on innovation and continuous improvement.
The predicted salary is between 72000 - 108000 ÂŁ per year.
We are seeking an experienced Interim Chief Data & AI Officer to lead the strategic evolution of data and AI capabilities for a global organisation. Reporting directly to the Chief Information Officer, this role will play a pivotal role in shaping and delivering the organisation’s data, analytics, and AI strategy, ensuring data is positioned as a core enterprise asset and enabler of digital transformation. This is a highly visible leadership role, requiring an executive who can quickly assess current maturity, define a clear strategic direction, and drive tangible outcomes across data governance, advanced analytics, and AI-driven decision‑making.
Role and Responsibilities
- Define and lead the enterprise Data and AI Strategy, aligned to business objectives and digital transformation priorities.
- Identify and prioritise high‑value AI and advanced analytics use cases that deliver measurable business impact.
- Establish a clear roadmap for data, analytics, and AI capability uplift across the organisation.
- Assess current data maturity, platforms, and operating model, identifying gaps and opportunities.
- Design and recommend a target data and AI operating model, including governance, ownership, and decision rights.
- Strengthen enterprise data governance, data quality, and ethical AI standards.
- Champion the responsible adoption of AI, machine learning, and automation, embedding best practices around model governance, risk, and compliance.
- Partner with technology, product, and business leaders to embed AI into core processes and decision‑making.
- Oversee audits and reviews of existing data and AI capabilities to ensure scalability, security, and regulatory alignment.
Insight & Value Delivery
- Ensure the delivery of high‑quality insights and analytics to support executive and operational decision‑making.
- Translate complex data and AI concepts into clear, actionable recommendations for senior stakeholders.
- Define success measures and KPIs to track the value realised from data and AI initiatives.
Leadership & Stakeholder Engagement
- Act as a trusted executive partner across the organisation, influencing at C‑suite and senior leadership level.
- Collaborate effectively within a matrix organisation, aligning internal and external stakeholders.
- Promote a culture of data literacy, AI awareness, and continuous improvement across teams.
Skills & Experience
- Proven experience operating at Chief Data Officer / Executive Data & AI leadership level within large, complex organisations.
- Strong background in enterprise data strategy, advanced analytics, and AI/ML adoption.
- Demonstrated ability to make rapid impact in an interim or transformation environment.
- Experience designing and implementing data and AI operating models and governance frameworks.
- Excellent stakeholder management skills with the credibility to influence senior leaders.
- Strong communicator, able to clearly articulate complex data and AI topics to both technical and non‑technical audiences.
- Curious, thoughtful, and outcome‑driven approach to problem‑solving and decision‑making.
Chief Data & AI Officer employer: Intec Select
Contact Detail:
Intec Select Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Chief Data & AI Officer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who might know someone at the company you're eyeing. A personal introduction can make all the difference in getting your foot in the door.
✨Tip Number 2
Prepare for interviews by researching the company’s data and AI initiatives. Show them you’re not just another candidate; you’re genuinely interested in how you can contribute to their goals. Tailor your insights to align with their strategic direction.
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, send a thank-you note that highlights a key point from your conversation. It keeps you fresh in their minds and shows your enthusiasm for the role.
✨Tip Number 4
Apply through our website for the best chance of landing that dream job! We want to see your application directly, and it helps us match your skills with the right opportunities faster.
We think you need these skills to ace Chief Data & AI Officer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in data strategy and AI. We want to see how your skills align with the role, so don’t hold back on showcasing your achievements!
Showcase Your Leadership Skills: As a Chief Data & AI Officer, leadership is key. Use your application to demonstrate your ability to influence and engage with senior stakeholders. Share examples of how you've driven change in previous roles.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and make sure your points are easy to understand. Remember, we want to see your thought process!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Intec Select
✨Know Your Data Inside Out
As a Chief Data & AI Officer, you’ll need to demonstrate a deep understanding of data strategies and AI applications. Brush up on the latest trends in data governance and ethical AI standards. Be ready to discuss how you've previously defined and led data strategies that align with business objectives.
✨Showcase Your Leadership Skills
This role requires strong leadership and stakeholder engagement. Prepare examples of how you've influenced C-suite executives and collaborated within a matrix organisation. Highlight your ability to promote a culture of data literacy and continuous improvement across teams.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about high-value AI use cases you've identified and how they delivered measurable business impact. Be ready to outline your approach to assessing data maturity and designing effective operating models.
✨Communicate Complex Ideas Simply
You’ll need to articulate complex data and AI concepts clearly to both technical and non-technical stakeholders. Practice explaining your past projects in straightforward terms, focusing on the outcomes and value delivered. This will showcase your communication skills and ability to translate insights into actionable recommendations.
