At a Glance
- Tasks: Lead data and AI strategy for a global brand during a transformative phase.
- Company: Join a renowned global brand in a pivotal role.
- Benefits: Competitive daily rate, hybrid work model, and impactful leadership experience.
- Other info: Opportunity to shape the future of data as a strategic asset.
- Why this job: Make a significant impact on data-driven innovation and operational excellence.
- Qualifications: Proven executive-level experience in data strategy and AI transformation.
We are seeking an accomplished Interim Chief Data Officer (CDO) to partner with a global brand during a critical phase of its data, digital, and AI transformation. Reporting directly to the Chief Information Officer, this role will provide executive-level leadership to define, evolve, and execute an enterprise-wide data and AI strategy that accelerates business value, innovation, and operational excellence.
This is a highly visible role requiring strategic vision, hands-on leadership, and the ability to make immediate impact within a complex, matrixed organisation. The successful candidate will assess current data maturity, establish a scalable and future-ready data operating model, and embed AI-driven insights across the organisation.
Role and Responsibilities
- Data & AI Strategy Leadership
- Own and drive the enterprise Data and AI strategy, ensuring alignment with broader digital, technology, and business objectives.
- Identify and prioritise opportunities where AI, advanced analytics, and automation can deliver measurable commercial and operational value.
- Shape the organisation’s long-term vision for data as a strategic asset.
- Enterprise Data Capability & Operating Model
- Assess current data, analytics, and AI capabilities across the organisation, identifying gaps, risks, and opportunities for improvement.
- Define and support the development of a target data operating model, including governance, platforms, tooling, and ways of working.
- Establish a structured framework for data management, quality, governance, and ethics, ensuring scalability and regulatory compliance.
- Execution & Value Realisation
- Oversee data audits and maturity assessments, translating findings into clear, actionable roadmaps.
- Ensure the delivery of high-quality insights and analytics to support executive and operational decision-making.
- Support the Data / Digital function in both day-to-day operations and strategic initiatives, ensuring momentum and delivery throughout the interim period.
- Stakeholder & Executive Engagement
- Act as a trusted advisor to senior leaders, collaborating closely with technology, digital, product, and business teams.
- Influence and align internal and external stakeholders around shared data and AI priorities.
- Clearly communicate complex data and AI concepts to both technical and non-technical audiences.
- Culture, Standards & Best Practice
- Champion a culture of data excellence, innovation, and AI literacy across the organisation.
- Promote best practices in data governance, responsible AI, and analytics standards.
- Support capability uplift across teams through guidance, coaching, and thought leadership.
Skills and Experience
- Proven experience operating at Chief Data Officer, Head of Data, or equivalent executive-level role within large, complex organisations.
- Strong background in data strategy, AI, advanced analytics, and digital transformation at enterprise scale.
- Demonstrated ability to assess data maturity and rapidly design and implement pragmatic, value-driven solutions.
- Exceptional leadership and stakeholder management skills, with the credibility to influence at C-suite level.
- Highly analytical, curious, and thoughtful approach to problem-solving and decision-making.
- Experience working within matrix organisations, managing multiple priorities and senior stakeholders.
- Excellent communication skills, with the ability to translate complex data and AI insights into clear business outcomes.
Chief Data Officer (CDO) in Slough employer: Intec Select
As an Interim Chief Data Officer with us, you will join a dynamic and innovative environment in London, where your expertise will directly influence our data and AI transformation journey. We pride ourselves on fostering a culture of collaboration and excellence, offering competitive rates and the flexibility of a hybrid work model that promotes work-life balance. With ample opportunities for professional growth and the chance to lead impactful initiatives, this role is perfect for those looking to make a significant mark in a global brand's evolution.
StudySmarter Expert Advice🤫
We think this is how you could land Chief Data Officer (CDO) in Slough
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Intec Select!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Chief Data Officer (CDO) at Intec Select.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Intec Select.
✨Apply Directly through Our Website
When you find a suitable opening like Chief Data Officer (CDO) at Intec Select, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Chief Data Officer (CDO) in Slough
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Intec Select, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Intec Select. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Intec Select
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Intec Select!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
