Director, Networks and AI

Develop network and AI strategy, architecture principles and technology roadmaps in partnership with senior leaders and operating companies.

Establish and lead governance frameworks that ensure the highest value network and AI initiatives are identified, prioritised and implemented.

Lead the integration of AI and machine learning into network planning, operations, optimisation and maintenance.

Identify, assess and scale AI use cases that improve network performance, incident response, capacity planning and operational effectiveness.

Shape a safe and governed approach to AI adoption, ensuring appropriate ownership, auditability, human oversight and production controls.

Partner with Security, Data and AI governance teams to manage risks associated with AI deployment.

Evaluate technology partners and vendor capabilities, supporting informed investment and technology decisions.

Build strong partnerships across operating companies and central teams to promote consistent standards and ways of working.

Experience applying AI, machine learning or AIOps within network planning, engineering or operations in a telecommunications environment.

Strong knowledge of network architecture, including 5G standalone, radio access networks and AI enabled network operations.

Understanding of AI governance, model lifecycle management, telemetry, data pipelines and production deployment practices.

Ability to translate complex technical concepts into clear recommendations for senior stakeholders.

Experience defining technical standards and supporting adoption across multiple business entities.

Strong stakeholder management, communication and influencing skills.

Inclusive leadership approach with the ability to work effectively across different teams, countries and cultures.

Ability to navigate ambiguity and adapt to changing business priorities.

Familiarity with AI observability, model evaluation and agent tracing tools.

Experience working with hyperscaler AI platforms, model gateways or AI guardrail solutions.

Experience supporting network transformation or large scale technology programmes.

Commercial understanding of broadband, mobile and digital communications markets.

Degree in Engineering, Telecommunications, Computer Science, Artificial Intelligence or a related discipline, or equivalent practical experience.

Professional certifications or continued learning in AI, machine learning, MLOps or AI safety.

Competitive salary and bonus opportunity.

25 days annual leave with the option to purchase up to 5 additional days.

Access to wellbeing and mental health support, including the Calm app.

Private medical cover, critical illness cover and dental insurance.

Matched pension contribution of up to 10%.

24 hours of paid Volunteer Time Off.

Discounted gym and wellness memberships.

Access to our car benefit scheme.

Access to our online learning platform to support your continued development.

The opportunity to be part of an innovative, collaborative and purpose driven team.