AI product analyst

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

• 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.
• 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.
• 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.
• 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.

• 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
• Будет плюсом: 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

• 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.
• 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