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- Tasks: Drive AI adoption across ITV Studios, ensuring effective use in daily workflows.
- Company: Join ITV Studios, a leading global creator and distributor of TV content.
- Benefits: Flexible working with 2-3 days in the office and opportunities for professional growth.
- Other info: Collaborative environment with a focus on ethical AI use and career development.
- 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, strong communication skills required.
The predicted salary is between 60000 - 75000 £ 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 in London employer: ITV
Contact Detail:
ITV Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Change Manager - ITV Studios in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend events, join online forums, and don’t be shy about reaching out on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand ITV Studios' approach to AI and data change, and think about how your experience aligns with their goals. This will help you stand out and show that you're genuinely interested in the role.
✨Tip Number 3
Practice your pitch! Be ready to explain how your skills in business change management can drive adoption of AI tools at ITV Studios. Keep it clear and concise, focusing on how you can add value to their team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our platform. Let’s get you that Business Change Manager role!
We think you need these skills to ace Business Change Manager - ITV Studios in London
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 settings. We want to see how your skills align with 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. Share specific examples of how you've successfully engaged stakeholders and driven change in previous roles. We love a good story!
Showcase Your Communication Skills: Since this role involves translating complex concepts into clear guidance, make sure your application reflects your communication prowess. Use straightforward language and avoid jargon. We appreciate clarity just as much as you do!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes straight to the right people. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at ITV
✨Know Your AI and Data Basics
Make sure you brush up on your understanding of AI and data concepts, especially Generative AI. You’ll need to translate these complex ideas into practical guidance for non-technical users, so being able to explain them simply will really impress the interviewers.
✨Showcase Your Change Management Skills
Prepare examples from your past experiences where you've successfully driven business change in fast-paced environments. Highlight how you engaged stakeholders, communicated effectively, and ensured the adoption of new tools and processes. This will demonstrate your hands-on approach and practical knowledge.
✨Emphasise Collaboration and Influence
Be ready to discuss how you've built trusted relationships with various teams, including production and technical staff. Share specific instances where you influenced behaviour change without direct authority, as this role requires strong collaboration skills.
✨Demonstrate Your Organisational Skills
Since the role involves managing multiple change activities simultaneously, come prepared with examples that showcase your organisational abilities. Talk about how you prioritised tasks and maintained momentum in previous projects, especially in complex settings.