At a Glance
- Tasks: Lead the development of data analytics and AI solutions for ITV Studios.
- Company: Join ITV Studios, a leader in global media and entertainment.
- Benefits: Enjoy flexible working, generous holidays, and a competitive pension.
- Other info: Collaborate with diverse teams and enjoy excellent career growth opportunities.
- Why this job: Make an impact by driving data insights and innovation in a dynamic environment.
- Qualifications: 5+ years in data analytics with strong technical skills in SQL and Python.
The predicted salary is between 70000 - 90000 £ per year.
This role leads the development and delivery of data analytics, insights, and AI solutions across ITV Studios' Global Partnerships and Zoo55 Digital Studios. Responsibilities include establishing systems, enhancing data solutions, building stakeholder networks, and driving adoption of analytics products.
Responsibilities
- Develop understanding of Global Partnerships, Zoo55 Digital Studios, Studio55 (Brands & Licensing) businesses - markets, customers, content monetisation strategies, value chains and supply chains.
- Define delivery roadmap and priorities for data analytics and insights and AI solution development including what can be done within BAU versus determining what needs to be delivered as a larger funded project.
- Work alongside the broader Engineering and Product capabilities to establish the foundation of the systems required, including data collection, data consumption and processing using AI, storage, data lifecycle maturity management, cleansing and visualisation, within the context of existing and newly emerging tools and systems across the broader enterprise.
- Own development and enhancement of data & analytics solutions (end-to-end) e.g. dashboard reporting to deliver business value.
- Develop Data & Analytics Product Catalogue including Key Data Sources / Repositories and Governance.
- Develop network with key business and technology stakeholders (including building network with ITV peers in other teams).
- Promote the understanding and use of platforms, tools, analytics and insights in a time poor / data rich environment - simplifying the complex.
- Manage Data & Reporting Analysts in support of delivering overarching responsibilities.
- Establish process / forums and governance over the capture and prioritisation of business needs for delivery using our Agile Portfolio Management framework.
- This role is technical, requiring hands‑on delivery, though is also business facing, taking the lead role to engage with business customers to ExP level to capture their needs, translate those needs into deliverable outcomes and to deliver those outcomes in the form of data products, analytics, insights and tools / agents.
Experience and Qualifications
- At least 5+ years' experience in a Data Analytics, Data Product or Data & AI focused role, with strong experience delivering scalable analytics solutions and business insight capabilities.
- Demonstrable experience delivering Data Analytics, Data Modelling and Data Products, including the implementation of AI-enabled capabilities and solutions.
- Strong experience structuring, profiling and enriching data sets, including building automated data processes and pipelines.
- Strong technical capability across SQL, Python or other scripting/data processing languages and platforms such as GCP BigQuery, Snowflake, MS SQL, Oracle, SSRS or similar technologies.
- Experience working with tools and platforms used to structure and integrate disparate data sources into scalable analytics solutions.
- Strong knowledge of data visualisation and reporting tools such as Tableau, Google Data Studio or similar platforms.
- Experience integrating reporting capabilities across SaaS platforms including Salesforce, Rightsline, Fabric, Ironclad, Oracle and social/media platforms such as YouTube, Meta and TikTok.
- Proven experience driving business adoption of analytics products, dashboards and reporting solutions.
- Strong understanding of Data Governance, Data Lineage and Analytics Catalogue management.
- Experience supporting complex Finance reporting and analytics processes including FP&A, Revenue Recognition, Forecasting, Business Planning and statutory reporting.
- Proven experience working with a wide range of senior business stakeholders and translating technical solutions into business outcomes.
Other Criteria
- Self‑starter and proactive.
- Able to lead analysis and discovery and assist other analysts with their work.
- Agile Delivery focussed - gets things done.
- Demonstrable experience in solving challenging business problems through innovation and/or automation.
- Ability to interpret complex data and present to non‑technical audiences.
- Demonstrable experience working with a wide and diverse range of business stakeholders to identify opportunities for using data and insight to drive improvements and business success.
- Proven ability to translate technical implementations into business‑friendly explanations, to demo functionality and encourage interactive dialogue with business stakeholders.
- Experience of working to Agile frameworks and principles, ensuring development is geared to realising value quickly and iteratively.
Benefits
- Flexible working with a range of options.
- Generous holiday allowance, plus you can buy more.
- Annual bonus opportunity.
- Competitive pension contribution.
- Save as you earn - with an opportunity to buy ITV shares.
- Wellbeing and volunteering days plus a wide range of opportunities to help you live a balanced and healthy life.
Lead Data & Analytics Product Manager (AI & Insights) employer: ITV Consumer Limited 2024
ITV Studios is an exceptional employer that fosters a dynamic and innovative work culture, particularly for the Lead Data & Analytics Product Manager role. With a strong emphasis on employee growth, flexible working options, and generous benefits including a competitive pension and annual bonus opportunities, ITV Studios empowers its employees to thrive in a collaborative environment while driving impactful data solutions across global partnerships.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data & Analytics Product Manager (AI & Insights)
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry, especially those at ITV. Attend events, join online forums, and don’t be shy to reach out on LinkedIn. Building relationships can open doors that you didn’t even know existed.
✨Tip Number 2
Show off your skills! When you get the chance to chat with potential employers, make sure to highlight your experience with data analytics and AI solutions. Share specific examples of how you've driven business value through your work – it’ll make you stand out!
✨Tip Number 3
Be ready to demonstrate your knowledge. If you land an interview, prepare to discuss the latest tools and technologies in data analytics. Brush up on SQL, Python, and any relevant platforms like GCP BigQuery or Tableau. Being hands-on will show you’re the real deal.
✨Tip Number 4
Don’t forget to follow up! After interviews or networking events, send a quick thank-you note. It’s a simple way to keep the conversation going and remind them of your enthusiasm for the role. Plus, it shows you’re proactive – a key trait for this position!
We think you need these skills to ace Lead Data & Analytics Product Manager (AI & Insights)
Some tips for your application 🫡
Know the Role Inside Out:Before you start writing, make sure you really understand what the Lead Data & Analytics Product Manager role is all about. Dive into the job description and highlight key responsibilities and qualifications that resonate with your experience. This will help you tailor your application to show us you're the perfect fit!
Showcase Your Experience:When detailing your experience, focus on specific projects or achievements that align with the responsibilities mentioned in the job description. Use metrics where possible to demonstrate your impact, like how you improved data solutions or drove adoption of analytics products. We love seeing concrete examples!
Keep It Clear and Concise:While we want to know all about your amazing skills, it's important to keep your application clear and to the point. Avoid jargon and overly complex language; instead, aim for a friendly tone that makes it easy for us to see your qualifications. Remember, simplicity is key!
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 gives you a chance to explore more about our company culture and values while you’re at it!
How to prepare for a job interview at ITV Consumer Limited 2024
✨Know Your Data Inside Out
Before the interview, dive deep into the data analytics landscape relevant to the role. Familiarise yourself with key concepts like data modelling, AI solutions, and the tools mentioned in the job description, such as SQL and Tableau. This will not only help you answer technical questions confidently but also demonstrate your genuine interest in the position.
✨Showcase Your Stakeholder Engagement Skills
Prepare examples of how you've successfully engaged with stakeholders in previous roles. Think about times when you translated complex data insights into actionable business outcomes. Being able to communicate effectively with both technical and non-technical audiences is crucial for this role, so highlight your experience in building those bridges.
✨Demonstrate Your Agile Mindset
Since the role involves working within an Agile framework, be ready to discuss your experience with Agile methodologies. Share specific instances where you've contributed to iterative development processes or how you've adapted to changing project requirements. This will show that you're not just familiar with Agile principles but can also apply them effectively.
✨Prepare Questions That Matter
Interviews are a two-way street, so come prepared with insightful questions about the company's data strategy, the team dynamics, and how success is measured in this role. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals and values.
