The Head of AI Enablement & Technology Productivity is the EMAP Technology leader accountable for translating regional and Global AI priorities into scalable Technology capabilities, responsible governance, productivity improvement, and measurable value creation across EMAP.
You will owe the EMAP Technology productivity agenda, covering Developer Productivity, Developer Experience, and AI-enabled productivity across Technology. You will lead the adoption of Global AI tools and platforms, provide Technology enablement and governance for the EMAP AI Product portfolio, and oversee regional AI solution architecture and specialist delivery support.
You will have also a key leadership role in driving and governing AI initiatives that support the EMAP Productivity Transformation Programme, ensuring alignment between AI strategy, business transformation goals, and measurable value creation across the region. You will identify, prioritise, and enable AI-driven opportunities that improve organisational effectiveness, accelerate transformation outcomes, and deliver sustainable productivity gains.
You will be reporting to the respective IT Leader.
What You'll Do:
Owe the end-to-end EMAP Technology productivity strategy, portfolio and execution roadmap.
Define and execute the EMAP Technology AI strategy, aligned with the EMAP AI operating model, Technology priorities and Global AI direction.
Translate Global AI platforms, tools, standards and productivity priorities into an integrated regional roadmap. Partner with the Head of GenAI Products to align Product priorities.
Advise the EMAP CIO and Technology Leadership Team on investment, capability, architecture, risk, productivity and workforce implications.
Assure that our regional requirements are met by Global platforms and AI foundational services including compliance with regulations and legislation.
Lead Tech Productivity, Developer Experience, AI-assisted engineering, automation and AI-enabled Technology workflow improvement.
Be a people leader for the respective team.
What we're looking for:
Proven experience leading enterprise-wide AI, productivity, or technology transformation initiatives.
5+ years' experience in Technology, Engineering, Digital Transformation, or related fields.
Strong understanding of AI, Generative AI, and emerging technologies. Knowledge of AI governance, security, risk, and compliance.
Experience with technology platforms, software engineering, and productivity tools.
Bachelor's degree in Technology, Engineering, Business, or a related field, or equivalent experience.
Experience establishing AI governance or operating models.
What you will get:
Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and books.
Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
Social benefit package including life insurance, food vouchers, additional health insurance, monthly flex allowance and internet coverage, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many other benefits!
Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.
Opportunity for Flexible working hours and Home Office.
Our uniqueness is that we celebrate yours. Experian's culture is people-first, inclusive, and purpose-driven. It is also multi-award-winning. Having been recognized as one of the World's Best Workplaces™ 2025, it was listed in Fortune's Global Top 25. Additionally, it is a Great Place To Work™ in 26 countries, to name a few. Check out Experian Life on social or explore our Careers Site to understand why.
Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
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