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Product Owner - agentic ai - 3 month contract - London, hybrid working
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Senior Data Product Owner – AI & Machine Learning
Location: Full time opportunity, London office 2 days/week
Salary: £650/day outside IR35
Employment Type: 3 month initial contract
The Opportunity
We are looking for an experienced Senior Data Product Manager to lead the shaping, prioritisation, and delivery of data, analytics, AI, and machine learning products across a complex enterprise environment.
This is a senior product ownership role, sitting at the intersection of business strategy, data, technology, and delivery. You will translate strategic business objectives into clear product visions, outcome-focused roadmaps, prioritised backlogs, and measurable value.
You will act as a key connection point between senior business stakeholders, data teams, and delivery partners, ensuring products solve meaningful business problems and deliver measurable outcomes.
The role will involve taking AI and machine learning products from discovery and project delivery through to launch, adoption, and ongoing product management, ensuring they are scalable, well governed, user-centred, and capable of delivering sustained business value.
Key Responsibilities
- Own and lead assigned AI, machine learning, and data products through discovery, development, and launch, transitioning products into an effective BAU product management model.
- Define and manage product vision, strategy, roadmaps, and prioritised backlogs based on business value, user needs, delivery capacity, and emerging opportunities.
- Establish and track product success metrics, using adoption, performance, and business outcome data to inform prioritisation and investment decisions.
- Lead product discovery to understand user needs, validate assumptions, and identify opportunities for innovation through analytics, AI, and machine learning.
- Partner with senior stakeholders to define product vision, desired outcomes, success measures, and prioritised requirements.
- Work closely with data engineers, delivery partners, and project/programme managers to shape delivery plans, manage dependencies, remove blockers, and deliver against agreed scope, quality, timelines, and value.
- Own product scope and prioritisation, managing changes through clear impact assessment, trade-offs, and stakeholder communication.
- Provide senior product leadership across adoption, benefits realisation, and ongoing product performance.
- Ensure AI and machine learning products are developed responsibly, with appropriate consideration of data quality, governance, transparency, user impact, operational readiness, and ongoing support.
- Coach and challenge stakeholders to improve understanding, adoption, and value realisation from AI and machine learning products.
- Contribute to delivery governance, benefits tracking, product performance measurement, and senior stakeholder reporting.
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What We're Looking For
You will bring significant experience owning and delivering data, analytics, AI, or machine learning products within a business-facing environment, together with a strong track record of turning complex data capabilities into practical business outcomes.
We're particularly interested in candidates who can demonstrate:
- Proven experience taking data, analytics, AI, or ML products from production through adoption and continuous improvement.
- Strong understanding of how AI and machine learning create business value, including data quality, governance, responsible AI, user adoption, and operational support.
- Experience working closely with data engineers and technical delivery teams, translating business requirements into deliverable outcomes.
- Excellent senior stakeholder management skills, with the confidence to influence, advise, and constructively challenge at senior levels.
- Strong communication and presentation skills, with the ability to explain complex data and AI concepts to both technical and non-technical audiences.
- Strong planning, prioritisation, and delivery management skills, with the ability to manage competing priorities, dependencies, and risks.
- A high level of ownership and attention to detail, with a focus on delivering products that are trusted, scalable, supportable, and valued by users.
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Desirable Experience
It would be advantageous if you also have:
- Experience taking machine learning, advanced analytics, or automation solutions beyond proof of concept into production and business use.
- Experience working within structured Product, Agile, or iterative delivery environments.
- Understanding of the full data product lifecycle, including discovery, prioritisation, delivery, release, adoption, support, and continuous improvement.
- Experience with product governance, benefits tracking, performance measurement, and executive reporting.
- Experience within the music, media, collective management, or performance rights sector would be beneficial, although not essential.
The Person
We are looking for someone who thinks strategically but acts commercially and can connect day-to-day product decisions to wider business objectives.
You will be someone who:
- Makes well-informed, evidence-based decisions and is comfortable challenging assumptions.
- Looks for more effective and efficient ways of working without compromising quality.
- Builds strong, collaborative relationships across business and technical teams.
- Embraces change and identifies opportunities to innovate and improve.
- Takes ownership, manages priorities effectively, and proactively highlights risks and issues.
- Shares knowledge and brings others on the journey, creating strong collaboration between business, product, and technology teams.
This is an excellent opportunity for a senior data product professional to play a key role in turning AI, machine learning, and analytics capabilities into products that deliver tangible, measurable business value.
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