Lead Product Manager (Data & Analytics)

Lead Product Manager (Data & Analytics)

Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
ITV Consumer Limited 2024

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 opportunities for personal growth.
  • Why this job: Make an impact by driving data insights and analytics 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 Product Manager (Data & Analytics) employer: ITV Consumer Limited 2024

ITV Studios is an exceptional employer that fosters a dynamic and innovative work culture, particularly for the Lead Product Manager (Data & Analytics) 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.

ITV Consumer Limited 2024

Contact Details:

ITV Consumer Limited 2024 Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Product Manager (Data & Analytics)

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 to folks on LinkedIn. Building relationships can open doors that you didn’t even know existed.

Show Off Your Skills

When you get the chance to chat with potential employers, make sure to highlight your hands-on experience with data analytics and AI solutions. Share specific examples of how you've driven business value through your work – it’s all about showcasing what you can bring to the table!

Be Ready for the Technical Grill

Prepare yourself for technical interviews by brushing up on SQL, Python, and any other relevant tools mentioned in the job description. Practice explaining complex concepts in simple terms, as you’ll need to demonstrate your ability to communicate effectively with non-technical stakeholders.

Apply Through Our Website

Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our team at ITV Studios.

We think you need these skills to ace Lead Product Manager (Data & Analytics)

Data Analytics
AI Solutions Development
Stakeholder Engagement
Data Modelling
SQL
Python
GCP BigQuery

Some tips for your application 🫡

Know the Role Inside Out:Before you start writing, make sure you really understand what the Lead Product Manager role entails. 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 data analytics and AI solutions. Use metrics where possible to demonstrate your impact. We want to see how you've driven business value through your work, so don't hold back!

Keep It Clear and Concise:While we love a good story, keep your application clear and to the point. Use bullet points for easy reading and avoid jargon unless it's relevant. Remember, we’re looking for someone who can simplify complex concepts, so show us you can do that in your writing too!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, it shows us you’re keen on joining our team at StudySmarter. So, don’t hesitate – hit that apply button!

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 ITV Studios. Familiarise yourself with their current data solutions and think about how you can enhance them. Be ready to discuss specific examples of how you've successfully delivered data products in the past.

Showcase Your Technical Skills

Make sure to highlight your technical expertise in SQL, Python, and any relevant platforms like GCP BigQuery or Tableau. Prepare to discuss how you've used these tools to solve complex problems and drive business insights. Bring along examples of dashboards or reports you've created to demonstrate your capabilities.

Engage with Stakeholders

Since this role involves a lot of stakeholder engagement, be prepared to talk about your experience in building networks and translating technical needs into business outcomes. Think of specific instances where you've successfully collaborated with diverse teams to deliver analytics solutions.

Emphasise Your Agile Experience

This position requires a strong focus on Agile delivery. Be ready to discuss your experience working within Agile frameworks, how you've prioritised tasks, and how you've ensured that development is aligned with delivering value quickly. Share examples of how you've adapted to changing requirements while keeping projects on track.