Responsibilities
- Act as a servant leader and champion of agile and AI-enabled ways of working across the teams, fostering a culture of continuous learning, innovation, data-driven decision-making, and responsible adoption of AI technologies to improve product delivery, operational efficiency, and business outcomes.
- Serve as the primary owner of the product backlog for 1–2 teams.
- Contribute to the creation and evolution of the enterprise roadmap in partnership with other product owners and engineering teams.
- Prioritize backlog needs and balance scope, budget, and time at monthly, quarterly, and annual planning cycles.
- Leverage AI-driven insights and engineering metrics to support planning, capacity forecasting, prioritization, and roadmap decisions.
- Utilize AI-assisted tools to support backlog refinement, story creation, requirement analysis, acceptance criteria generation, and identification of dependencies and risks.
- Use AI-enabled tools to analyse delivery trends, identify bottlenecks, assess risks, and recommend opportunities for continuous improvement and operational efficiency.
- Leverage AI-powered analytics, predictive insights, and data-driven recommendations to support strategic decision-making, prioritisation, capacity planning, risk assessment, and roadmap optimisation.
- Evaluate AI-generated insights alongside business objectives, technical constraints, and operational metrics to drive informed product and delivery decisions.
- Utilize AI productivity tools to create stakeholder updates, reports, presentations, summaries, and actionable insights from engineering and operational data.
- Effectively communicate AI-generated insights and recommendations to technical and non-technical stakeholders.
- Fulfill the primary product owner role in all agile ceremonies and facilitate workshops with users and agile teams to drive alignment and learning.
- Leverage AI-assisted solutions to improve meeting preparation, action-item tracking, documentation, knowledge management, and team collaboration.
- Introduce and champion effective tools and practices; proficiency in Jira and Aha! (preferred).
- Experience using AI-powered productivity and collaboration tools such as Microsoft Copilot, Cursor or similar platforms to improve planning, reporting, documentation, and engineering delivery effectiveness.
Requirements
- Leverages AI-driven capabilities to drive the cloud and platform roadmap across 1+ teams
- Ensures execution aligns with infrastructure, security, automation, and operational best practices
- Partners with platform, security, and application teams through AI-enabled productivity and collaboration tools
- Keeps a globally distributed organisation aligned on standards through clear priorities, intelligent insights, iterative improvements, and outcome-focused backlogs
- Translates strategy into epics and stories
- Manages cross-team dependencies
- Utilises AI-powered analytics to define, analyse, and report key performance indicators for global agile teams
- Acts as a servant leader and champion of agile and AI-enabled ways of working
- Serves as the primary owner of the product backlog for 1–2 teams
- Contributes to the creation and evolution of the enterprise roadmap in partnership with other product owners and engineering teams
- Prioritizes backlog needs and balances scope, budget, and time at monthly, quarterly, and annual planning cycles
- Leverages AI-driven insights and engineering metrics to support planning, capacity forecasting, prioritization, and roadmap decisions
- Utilizes AI-assisted tools to support backlog refinement, story creation, requirement analysis, acceptance criteria generation, and identification of dependencies and risks
- Uses AI-enabled tools to analyse delivery trends, identify bottlenecks, assess risks, and recommend opportunities for continuous improvement and operational efficiency
- Leverages AI-powered analytics, predictive insights, and data-driven recommendations to support strategic decision-making, prioritisation, capacity planning, risk assessment, and roadmap optimisation
- Evaluates AI-generated insights alongside business objectives, technical constraints, and operational metrics to drive informed product and delivery decisions
- Effectively communicates AI-generated insights and recommendations to technical and non-technical stakeholders
- Fulfills the primary product owner role in all agile ceremonies and facilitates workshops with users and agile teams to drive alignment and learning
- Leverages AI-assisted solutions to improve meeting preparation, action-item tracking, documentation, knowledge management, and team collaboration
Nice to Have
- Proficiency in Jira and Aha! (preferred)
- Experience using AI-powered productivity and collaboration tools such as Microsoft Copilot, Cursor or similar platforms to improve planning, reporting, documentation, and engineering delivery effectiveness
Work Arrangement
Remote (Worldwide)
