AI Product Analyst

We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky.

Content Technology & Innovation is accelerating the responsible use of artificial intelligence across content operations, production workflows and business processes.

The AI Product Analyst will work closely with the Senior AI Product Manager and Innovation AI Engineers to identify customer problems, shape product opportunities and turn emerging AI capabilities into valuable products and services.

The role will work directly with customers and stakeholders to understand needs, define experiments, evaluate results and help determine what should progress from exploration through prototype, pilot and production.

A key part of the role will also be establishing consistent approaches to benchmarking AI products, models and vendors, ensuring product decisions are supported by clear evidence.

This role sits at the intersection of product, AI, engineering, experimentation and business strategy.

What you'll do:

Product management and customer engagement

Work with the Senior AI Product Manager to develop and deliver MIAS and wider Content AI product priorities.

Engage directly with customers to understand problems, workflows and opportunities.

Translate customer needs into clear use cases, requirements, hypotheses and success criteria.

Support prioritisation of opportunities based on customer value, technical feasibility, cost and risk.

Maintain strong customer feedback loops throughout experiments, prototypes and pilots.

Represent MIAS and our wider Content AI strategy in stakeholder conversations.

Experimentation and engineering collaboration

Work alongside Innovation AI Engineers to plan and execute AI experiments, prototypes and proofs of concept.

Define experiment objectives, success measures and evaluation approaches.

Coordinate activity between customers, product and engineering teams.

Review outputs with customers and subject matter experts and identify opportunities for improvement.

Turn findings into clear recommendations for product and engineering priorities.

Identify reusable capabilities that can become part of MIAS rather than remain one-off solutions.

AI evaluation and benchmarking

Design and run repeatable evaluation frameworks for AI products, models and vendors.

Build and maintain representative benchmark datasets aligned to real business use cases.

Work with subject matter experts to establish appropriate ground truth.

Assess quality, accuracy, reliability, consistency, latency, cost and business value.

Use appropriate measures such as precision, recall, error rates and human agreement.

Identify failure modes and trade-offs and use these to inform product improvement.

Compare competing AI solutions against common criteria and test vendor claims through practical evidence.

Insight, communication and representation

Translate complex technical findings into clear recommendations for technical and non-technical audiences.

Present experiments, product strategy and recommendations to senior stakeholders.

Support product demonstrations, showcases and customer workshops.

Maintain clear documentation covering decisions, assumptions, results and recommendations.

Partner across product, innovation, engineering, operations, commercial and governance teams.

Essential Criteria:

Ability to translate business needs into clear product opportunities, experiments and success criteria

Comfortable working in an experimental environment where requirements and solutions evolve quickly

Ability to analyse qualitative and quantitative results and communicate uncertainty

Confident working directly with customers, engineers, subject matter experts and senior stakeholders

Ability to explain technical concepts and findings clearly in business language

Comfortable challenging assumptions constructively and using evidence to influence decisions

Desirable Criteria:

Experience in product management, product analysis, innovation, experimentation or a related role

Strong judgement when balancing customer value, technical performance, operational practicality, cost and risk

Experience evaluating AI, machine-learning or data-driven products, or comparable experience in experimentation or analytics

Working knowledge of AI evaluation concepts such as accuracy, precision, recall, hallucination, consistency, human agreement and bias

Experience working with analytical tools such as spreadsheets, visualisation platforms, SQL, notebooks or equivalent

Experience in media, broadcast, content operations, streaming or digital products

Experience with generative, multimodal or agentic AI

Experience working with engineering teams on prototypes, proofs of concept or early-stage products

Familiarity with human-in-the-loop evaluation, responsible AI and model governance

Experience benchmarking AI models or vendors.

How you’ll work:

At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds – time working at home, as well as time in the office.

The hybrid working expectations for this role are 2 days in the office based in Osterley.

Team overview

Content technology and innovation

Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content!

The rewards

There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here’s a taster:

Sky Q, for the TV you love all in one place

The magic of Sky Glass at an exclusive rate

A generous pension package

Private healthcare

Discounted mobile and broadband

A wide range of Sky VIP rewards and experiences

Inclusion & how you'll work

Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space

Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

We'd love to hear from you

Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.

Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have app