Head of Artificial Intelligence

Experis; Reading; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading company is seeking a Lead Data & AI Strategist in Reading to drive data innovation and AI practices. This role offers an opportunity to influence organizational change through data maturity and responsible AI use, directly impacting strategic decision-making and services.

Benefits

Excellent Benefits

Flexible Working

Opportunities for Professional Growth

Qualifications

• Experience in data management and AI practices.
• Proven track record in leading digital transformation initiatives.
• Strong communication skills and ability to motivate teams.

Responsibilities

• Engage with stakeholders to drive data evolution and innovation.
• Assess data infrastructure and propose improvements.
• Lead responsible AI practices across the organization.

Skills

Data Management

AI Strategy

Stakeholder Engagement

Data Governance

Performance Metrics

Communication

Education

Relevant Degree in Data Science, IT or related field

Job description

This range is provided by Experis. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Experis

Lead Data & AI Strategist – Shape the Future of Data Innovation

Location: Hybrid / Reading

Contract Type: 12 months initially

Are you passionate about data, AI, and driving meaningful change? Do you thrive in complex environments where your creativity and initiative can make a real impact? If so, we have an exciting opportunity for you to lead the evolution of data and AI capabilities within a forward-thinking, mission-driven organisation.

About the Role

This is a unique opportunity to influence how data and AI are used across an organisation undergoing a significant digital transformation. You’ll be at the forefront of shaping data maturity, responsible AI practices, and innovative data science operations. Your work will directly contribute to smarter decision-making, improved services, and a more data-literate culture.

• Data Evolution & Innovation: Engage with stakeholders to understand the evolving data landscape and identify emerging technologies that can solve complex challenges.
• Data Maturity Development: Assess current data infrastructure and practices, identify gaps, and propose tactical and strategic improvements.
• Responsible AI Leadership: Stay ahead of government and industry guidance on AI, ensuring ethical and dependable use of automation and machine learning.
• Data Science Enablement: Help define and embed best practices for data science operations, ensuring alignment with organisational goals.
• Performance Metrics & Evaluation: Develop meaningful metrics to evaluate success, monitor performance, and support continuous improvement.
• Technology Integration: Navigate a mixed technology environment to deploy and support scalable, future-ready solutions.
• Enterprise Engagement: Inspire and educate stakeholders across all levels about the potential of AI and data-driven innovation.
• A strategic thinker with a strong background in data, AI, or digital transformation.
• Proven ability to work across complex organisations and influence senior stakeholders.
• Experience in identifying and implementing innovative solutions to data challenges.
• Familiarity with responsible AI frameworks and data governance best practices.
• Excellent communication skills and a passion for enabling others through data.
• Be part of a purpose-led organisation making a real-world impact.
• Work on cutting-edge data and AI initiatives with national significance.
• Collaborate with a diverse and talented team in a supportive, hybrid environment.
• Enjoy excellent benefits, flexible working, and opportunities for professional growth.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Information Services

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