Product Manager 0807-3

Key Responsibilities

• Define and communicate clear product vision, strategy and outcome-based roadmaps for new digital, AI-enabled and platform products, ensuring alignment with organisational priorities, user needs and strategic outcomes.
• Lead product discovery and validation through market research, user research, stakeholder interviews, problem framing, prototyping and feedback loops.
• Apply platform-as-a-product principles to manage internal platforms and shared technology products as reusable, scalable capabilities that serve multiple teams.
• Develop clear value propositions, product concepts and business cases that articulate user value, operational impact, financial considerations, risks and expected benefits.
• Manage the product lifecycle from ideation and discovery through delivery, launch, adoption, benefits tracking and continuous improvement.
• Apply customer-centric design thinking to understand user journeys, pain points, service gaps and opportunities for business process transformation.
• Prioritise platform capabilities, product features, backlog items and roadmap trade-offs based on user needs, business value, technical feasibility, cost, risk and strategic outcomes.
• Drive developer experience and self-service adoption through intuitive platform journeys, golden paths, enablement materials, feedback loops and continuous improvement of platform usability.
• Facilitate workshops, requirement discussions and decision-making sessions with business users, operations teams, technology teams, vendors and leadership stakeholders.
• Manage competing stakeholder interests, influence without authority and maintain alignment across product scope, priorities, timelines and expected outcomes.
• Work with agile delivery teams to define epics, user stories, acceptance criteria, sprint goals, release plans and product increments.
• Define and use success metrics to measure platform adoption, product outcomes, developer experience, operational health, benefits realisation, budget utilisation and business value, and report progress clearly to senior stakeholders.
• Engage vendors and partners to shape solution options, validate feasibility, manage delivery dependencies and ensure outcomes remain aligned to product objectives.
• Evaluate emerging AI use cases, including GenAI opportunities, prompt engineering considerations, human-in-the-loop design, AI governance risks and limitations of large language models.

Required Skills and Experience

• 10+ years of experience in product management, product planning, new product development, digital delivery, business transformation, strategy, consulting or related roles.
• Strong experience defining and communicating product vision, strategy, outcome-based roadmaps, value propositions and business cases for new products, digital initiatives or internal platforms.
• Strong knowledge of platform-as-a-product principles, with experience managing internal platforms, shared technology products or reusable enterprise capabilities for multiple consuming teams.
• Hands-on experience with product discovery, user research, market research, customer journey mapping, problem validation and customer-centric design thinking.
• Ability to manage product lifecycle activities, including ideation, prioritisation, delivery planning, launch, adoption, benefits realisation and continuous improvement.
• Strong stakeholder management skills, with the ability to facilitate workshops, manage competing interests, influence without authority and communicate with executives.
• Good understanding of agile, Scrum and Kanban methodologies, including backlog management, user story writing, sprint planning, workflow visualisation, sprint reviews, release planning and product increment management, with hands-on ability to use Jira to manage boards, backlogs, priorities and delivery progress.
• Ability to drive platform adoption by improving developer experience, self-service journeys, golden paths, onboarding flows, documentation, support models and feedback loops.
• Strong AI literacy, including the ability to understand AI and GenAI capabilities, limitations, risks, data considerations, responsible use principles and how these translate into practical product opportunities.
• Strong business and commercial acumen, including understanding of operational processes, financial and budget management, benefits tracking, risk assessment and business process transformation.
• Experience working with vendors, partners, delivery teams and cross-functional stakeholders to shape feasible solutions and manage delivery dependencies.
• Strong written and verbal communication skills, with the ability to produce concise product artefacts, decision papers, executive updates, roadmap materials and workshop outputs.
• Strong change management, communication and stakeholder management skills to support platform adoption across multiple business, product, engineering and operations teams.
• Comfortable working in ambiguous environments where product direction must be shaped through structured discovery, trade-off management and iterative delivery.

Preferred Skills

• Experience managing AI-enabled products, GenAI use cases, data products, automation products or digital services in enterprise or public sector environments.
• Understanding of AI product management, prompt engineering fundamentals, human-in-the-loop design, AI governance, AI risk considerations and LLM capabilities and limitations.
• Experience applying lean product, design thinking, service design, experimentation or product analytics methods to validate product opportunities.
• Experience with tools such as Jira, Confluence, Azure DevOps, Miro, Figma, analytics dashboards, survey tools or collaboration platforms.
• Exposure to technology delivery in cloud, data, AI, enterprise systems, workflow automation or digital transformation programmes.
• Experience preparing executive-level product strategy papers, business cases, roadmap presentations, investment proposals or benefits realisation reports.