At a Glance
- Tasks: Drive AI adoption across ITV Studios, ensuring seamless integration into daily workflows.
- Company: Join ITV Studios, a global leader in TV content creation and distribution.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role in a fast-paced environment with global collaboration.
- Why this job: Be at the forefront of AI innovation in the media industry and make a real impact.
- Qualifications: Experience in business change and technology adoption, with strong communication skills.
The predicted salary is between 60000 - 75000 ÂŁ per year.
Workplace: London White City. The expectation is 2-3 days in the office. TV Studios is a leading global creator, producer and distributor of TV content. Studios Technology enables the creation, management and distribution of that content through scalable production workflows across cloud, data, AI, media asset management and post‑production tooling, working closely with production, commercial and creative teams worldwide.
The Business Change Manager for Data and AI will drive the successful adoption of AI capabilities across ITV Studios globally, with an initial focus on the Studios AI platform, agent‑based solutions and the wider suite of AI tools. Partnering with Product Managers and Delivery Managers, this hands‑on role ensures these capabilities are embedded in day‑to‑day workflows and support the realisation of measurable value. The role focuses on stakeholder engagement, communications, training and process change to translate product delivery into adopted ways of working that deliver business outcomes. The role does not define product strategy or priorities, but is accountable for ensuring successful adoption and effective use in practice. The role will also support the development of a consistent, scalable approach to AI and data change across Studios, enabling faster and more effective adoption over time.
Key Criteria:
- Proven experience delivering business change and adoption in complex, fast‑paced environments, ideally within media, production or similar operational settings.
- Experience supporting the rollout and adoption of technology products or platforms, working in close partnership with Product and Delivery teams.
- Strong understanding of change management principles and practical experience applying them (e.g. stakeholder engagement, communications, training, adoption planning).
- Experience embedding new tools and ways of working into existing processes, with a focus on driving usage and improving day‑to‑day operations.
- Ability to engage and influence a wide range of stakeholders, including production, operational and technical teams.
- Strong communication skills, with the ability to translate complex concepts (including AI) into clear, practical guidance for non‑technical users.
- Working understanding of AI and data concepts, including Generative AI, sufficient to support effective adoption and responsible use (not deep technical expertise).
- Experience establishing feedback loops and using insight (qualitative and quantitative) to improve adoption and user experience.
- Familiarity with governance, risk and compliance considerations (e.g. data protection, security, IP) in the context of technology adoption.
- Ability to operate in global, distributed environments and adapt approaches to different teams, markets and production contexts.
The role requires the following abilities and characteristics:
- Practical and delivery‑focused, with the ability to translate plans into action and drive adoption in real‑world environments.
- Strong collaborator, able to work effectively with Product and Delivery teams while building trusted relationships across business and technology stakeholders.
- Influential and credible, able to engage teams, build buy‑in and support behaviour change without direct authority.
- Clear and confident communicator, able to simplify complexity and tailor messages to technical and non‑technical audiences.
- Empathetic and user‑focused, understanding the realities of production environments and adapting approaches accordingly.
- Proactive and resilient, able to navigate ambiguity, overcome resistance and maintain momentum in fast‑paced settings.
- Organised and structured, with the ability to manage multiple change activities and priorities simultaneously.
- Outcome‑aware, focused on driving adoption and effective use rather than just completing activities.
- Committed to responsible and ethical use of AI, demonstrating sound judgment and professionalism.
Business Change Manager - ITV Studios employer: ITV
Contact Detail:
ITV Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Change Manager - ITV Studios
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend events, join online forums, or even hit up LinkedIn. The more people you know, the better your chances of landing that Business Change Manager role at ITV Studios.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience in driving business change and adoption. When you get the chance to chat with potential employers, share real examples of how you've made an impact in previous roles.
✨Tip Number 3
Practice makes perfect! Before any interviews, do some mock sessions with friends or mentors. Focus on articulating your understanding of AI and data concepts, and how you can translate that into practical guidance for non-technical users. Confidence is key!
✨Tip Number 4
Apply through our website! We want to see your application come through directly. It shows you're serious about the role and gives us a chance to see your enthusiasm for joining the ITV Studios team. Don't miss out!
We think you need these skills to ace Business Change Manager - ITV Studios
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Business Change Manager. Highlight your experience in driving business change, especially in media or production environments. We want to see how your skills align with the key criteria mentioned in the job description.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and data adoption in a creative industry like ITV Studios. We love seeing genuine enthusiasm, so let your personality come through while keeping it professional.
Showcase Your Communication Skills: Since the role requires strong communication abilities, make sure to demonstrate this in your application. Use clear and concise language, and if possible, provide examples of how you've simplified complex concepts for non-technical audiences in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re proactive and keen to join our team!
How to prepare for a job interview at ITV
✨Know Your AI Stuff
Make sure you brush up on your understanding of AI and data concepts, especially Generative AI. Be ready to explain how these technologies can be practically applied in a production environment, as this will show your grasp of the role's requirements.
✨Showcase Your Change Management Skills
Prepare examples from your past experiences where you've successfully driven business change. Highlight your ability to engage stakeholders, communicate effectively, and embed new tools into existing workflows. This will demonstrate that you can translate plans into action.
✨Tailor Your Communication
Practice simplifying complex ideas for non-technical audiences. During the interview, focus on how you can communicate AI concepts clearly to various stakeholders, ensuring everyone understands the benefits and practical applications.
✨Be Proactive and Resilient
Expect questions about how you handle ambiguity and resistance in fast-paced environments. Share specific strategies you've used to maintain momentum and drive adoption, showcasing your proactive approach to overcoming challenges.