The role will provide leadership and innovation in building and managing key mission-critical business technology products. They will directly or indirectly lead a team of software engineers and technology professionals to drive and deliver valuable products and co-create outstanding experiences. They will define, prioritise, and manage product backlogs while striving for timely delivery, representing the interests of the customer and key business partners and stakeholders to our teams, and driving our product vision. They manage key interactions with business subject matter experts, partner with other product teams, and collaborate with business departments to solve for business needs. They also execute on the product roadmap to achieve the intended product metrics and business goals.
Responsibilities:
Product Management:
- Works under the guidance of a Product Owner on defining and prioritising the product backlog while striving for timely delivery.
- Product Owners who have owned AI-driven products or Data Platform products or have primarily used AI tools in their day-to-day Product Owner responsibilities.
- Works closely with Subject Matter Experts (SMEs), operations and business staff teams with strong business domain knowledge and participates in all product team ceremonies.
- Working with the PO, incorporates stakeholder input into product roadmaps while effectively negotiating tradeoffs of conflicting priorities based on the value to the business and customer.
- Partners across functions as needed to coordinate delivery plans, testing, training, implementation, and support.
Stakeholder Management:
- Influences and partners with a product team (10 software engineers, technology professionals, and UX designers) to deliver valuable, quality, and timely product features and capabilities in alignment with business and technology operational excellence.
- Influences our customers and service teams daily by explaining the value of our product and its features.
- Assists with gaining commitment to implementation.
- Ensures delivery of scope, partners with operations users, subject matter experts, and business teams to ensure user stories are clear.
- Removes barriers for team members and resolves open issues/questions quickly and efficiently.
- Acts as the voice of the customer jointly with the journey product owner.
- Leads problem resolution as needed to ensure that internal and external customers receive prompt, efficient service.
- Helps the PO with representing the customer and stakeholders to our teams.
- Participates in team demos and retrospectives to validate quality and provide feedback to the team to improve team processes.
Delivery Management:
- Supports defining minimum viable product (MVP).
- Assists the PO with product team backlog grooming, prioritisation, and refinement.
- Articulates and translates the product vision into feature(s) and tactics for our technology products.
- Supports communicating the product strategy effectively to key stakeholders and team members.
- Assists in defining and measuring the value of team delivery and the relevant success metrics.
- Sets the quality standard for delivery and develops and executes test plans (user story acceptance criteria).
- Under guidance, breaks down our commitments to actionable and achievable work.
- Works day-to-day with the product teams to clarify customer requirements, remove roadblocks, constantly communicate, and gain alignment around features or product strategy.
Leadership and Influence:
- Explains the value of our product and its features to our customers and product teams daily.
- Assists in gaining alignment for dependency prioritisation across product teams.
- Assists with gaining commitment to implementation.
- Ensures that internal and external customers receive prompt, efficient service for all products in the journey.
- Incorporates stakeholder input into product roadmaps while effectively negotiating tradeoffs of conflicting priorities based on value to the business and customer.
Requirements:
- 5+ years of experience required to perform essential job functions.
- Additional Experience Qualifier (optional): Minimum of 5 years' experience in business, product management, software development, technology and/or consulting. Knowledge of Commercial property insurance is highly preferred.
- Must have exceptional planning, analytical, decision-making, organisation, communication, and teamwork skills, as well as strong commercial insurance knowledge with the ability to influence others and build consensus.
- Able to make difficult and quick decisions daily with incomplete information.
- Strong communication and collaboration skills, solid analytical and problem-solving skills, the ability to drive projects towards completion, and the ability to work with all levels of team members and leadership.
- Experimental mindset with demonstrated willingness to learn and experiment.
- Intermediate skills in Excel and PowerPoint.
- Knowledge and/or experience working with systems or product management is a plus.
- 4 year/ bachelor's degree required.
Must Have Skills:
- Non-functional requirements and versioning expectations.
- Product Vision for building and maintaining production agentic data systems across product teams.
- Outcome-Based Roadmapping and Prioritisation: Prioritise the backlog based on measurable outcomes (cycle time reduction, defect escape rate, adoption, reuse), not just feature delivery, and sequence work to maximise enterprise impact.
- Spec as the Primary Product Artefact: Own the structure, quality bar, and lifecycle of product specs as first-class assets, including templates, acceptance criteria,
- Agent Capability Definition and Value Realisation: Translate user needs into agent capabilities (planning, codegen, test generation, review, release), including success metrics, guardrails, and definition of done for agent behaviour.
- Governance and Reuse at Enterprise Scale: Establish policies for shared specs and agents (reuse rules, contribution model, approval gates, deprecation), ensuring teams can adopt quickly without creating fragmentation.
- Cross-Functional Alignment and Stakeholder Leadership: Align engineering, security, architecture, compliance, QA, and operations around a shared operating model for AI SDLC, including what is standardised versus team-specific.
- Risk Management for AI-Assisted Development: Identify and mitigate AI SDLC risks (hallucinations, inconsistent outputs, IP leakage, security flaws), ensuring product decisions include safeguards and escalation paths.
- Telemetry, Adoption Metrics, and Continuous Improvement: Define instrumentation and dashboards that track agent usage, spec reuse, failure rates, cycle time, and developer experience, using data to refine product direction.
- User Experience for Developers (DevEx) and Enablement: Design the happy path for product teams adopting shared specs and agents, including documentation, training, templates, and friction-free onboarding.
- Change Leadership and Operating Model Evolution: Drive organisational adoption, refine processes, and guide teams from traditional requirements and stories toward spec-driven execution, with clear communication and incremental rollout plans.

