Data & AI Product Manager

We’re building a Data \& AI capability at Guardrisk that turns business problems into data, analytics, AI and automation products that people actually use. We’re looking for an experienced **Data \& AI Product Manager** to own products from initial discovery through delivery, rollout, adoption, value realisation and continuous improvement. This is not a traditional internal Product Owner role where requirements arrive ready to be put into a backlog. You will work closely with business teams, understand how decisions and processes work today, uncover the real problems behind requests, and determine where data, analytics, AI or automation can make a meaningful difference. You will then bring business and technology teams together around a clear product vision, make prioritisation and scope trade\-offs, and stay accountable after launch to ensure products are adopted and deliver the intended value. Within Guardrisk’s Data \& AI CoE, Product Management is intended to provide the business interface and front door for demand, ensuring products address business needs, support adoption and deliver measurable value. COE Org Structure.txt **What you will do** * Build trusted relationships with business teams and **work alongside them to understand their processes, decisions, pain points and opportunities** . * Lead product and problem discovery, distinguishing a stakeholder’s initial request from the underlying business need. * Translate business needs into compelling opportunities for **data products, analytics, AI and automation** . * Develop clear **product visions, strategies and value cases** that connect investment to business outcomes. * Own a portfolio of products and maintain coherent roadmaps across discovery, build, launch, growth, improvement and eventual retirement. * Own and prioritise product backlogs, balancing **business value, strategic fit, reuse, risk, dependencies and delivery effort** . * Define product requirements, outcomes and acceptance criteria with enough clarity for engineering, data and AI teams to deliver effectively. * Work closely with engineers, architects, analysts and AI specialists to make informed trade\-offs between user need, technical complexity, speed and long\-term reuse. * Plan releases and work with business teams to drive **rollout, adoption and operational change** , rather than treating technical deployment as the finish line. * Define how product success will be measured and monitor **usage, adoption, feedback and realised value** after launch. * Use evidence from live products to determine what should be improved, expanded, consolidated or retired. * Identify where a requirement initially raised by one part of the business can become a **reusable enterprise capability** rather than a one\-off solution. * Maintain clear product documentation and ensure stakeholders understand product direction, priorities, decisions and progress. * Help establish mature product\-management disciplines across Guardrisk's growing Data \& AI capability. This product and use\-case ownership is consistent with Guardrisk's emerging operating model: business demand is recorded as use cases, Product Management owns the intake front door, and PM\-led shaping deals with overlaps, product dependencies, sizing and delivery alignment. Own a portfolio of data and AI products from discovery through rollout, adoption, value realisation and continuous improvement. **What makes this different** * Embedded with business teams, not waiting for requirements * Understands workflows, pain points and operating constraints * Distinguishes stated requests from the underlying problem * Shapes data, analytics, automation and AI opportunities * Owns product vision, roadmap, backlog, releases and lifecycle * Works closely enough to engineering to make credible trade\-offs * Drives products into real operational use * Monitors usage, value and feedback after launch * Converts local needs into reusable enterprise capabilities where appropriate This is closer to a *Forward Deployed Product Manager/ Engineer* than a traditional internal *Product Owner* . Public role descriptions similarly position the forward\-deployed PM as embedded with stakeholders, accountable for product outcomes, deployment into production, customer value and converting operational reality into product direction. **Expected seniority:** A mature hire who has already taken complex software, data or AI products from problem discovery into production and adoption. **Qualifications** * Bachelor’s degree in **Business, Computer Science, Information Systems, Engineering, Data/Analytics or a related discipline** , or equivalent practical experience. * Significant product\-management experience with **digital, software, data, analytics or AI\-enabled products** . * Demonstrated experience taking complex products from **problem discovery and definition through delivery and into operational adoption** . * Strong product discovery skills, including the ability to work with users and stakeholders to understand workflows, problems and desired outcomes. * Experience developing **product strategies, roadmaps, prioritised backlogs, requirements and release plans** . * Strong understanding of the product lifecycle and experience managing products beyond initial launch. * Experience defining product success measures and using **adoption, usage, customer/user feedback and business outcomes** to drive product decisions. * Sufficient technical fluency to work credibly with engineering, architecture, data and AI teams and understand the implications of technical trade\-offs. * Strong stakeholder\-management skills and the ability to bring together people with different business and technical perspectives. * Strong written and verbal communication skills, with the ability to make complex problems understandable and create clarity from ambiguity. * Commercial and analytical thinking, with the ability to prioritise opportunities according to expected value rather than stakeholder volume or enthusiasm. Guardrisk's emerging product model makes lifecycle management substantive rather than administrative. **Preferred Qualifications** * Experience managing **data products, analytics products, AI products or automation solutions** , particularly where the end product changes a business process or decision. * Experience working in a mature digital product environment such as **digital banking, fintech, telecommunications, e\-commerce, SaaS or technology consulting** . * Experience operating in a **forward\-deployed or highly business\-embedded product role** , working directly with users while remaining closely connected to engineering teams. * Understanding of modern data\-product concepts, including **data quality, lineage, semantics, APIs, analytical products and reusable data assets** . * Practical understanding of **generative AI, agentic AI and workflow automation** , sufficient to identify appropriate use cases and product opportunities. * Familiarity with agile product\-development practices and tools such as **Azure DevOps or equivalent product\-delivery platforms** . * Experience managing a **portfolio of related products** , not only a single application or delivery project. * Experience establishing product **adoption, usage and value measurement** and using those measures to make investment, improvement or retirement decisions. * Experience turning business\-specific requirements into **scalable or reusable capabilities** that can serve multiple user groups. * Experience in **financial services, insurance or another regulated environment** . Experience working across organisational boundaries where successful delivery requires coordination between business, product, engineering, architecture and governance teams. **Core outputs** * Product portfolio and strategy * Product visions and value cases * Discovery findings and workflow maps * Product roadmaps and prioritised backlogs * Product requirements and acceptance criteria * Release, rollout and adoption plans * Usage and value dashboards * Continuous\-improvement priorities * Product consolidation or retirement decisions Should you not hear from us within 21 days, kindly consider your application unsuccessful.