Principal Technology Product Owner - Identity Graph & Signals

About the role

CommBank is hiring a Principal Technology Product Owner for its Identity Graph & Signals team, which shapes the strategy and roadmap for products that connect fragmented identity data and turn it into actionable security intelligence. The role sits at the intersection of identity, data, AI and platform engineering, partnering with engineers, architects, security leaders and business stakeholders to deliver enterprise-wide impact.

Key responsibilities

• Define and own the product vision, strategy and roadmap for identity graph, intelligence and signals capabilities.
• Translate security, risk and business needs into clear product outcomes, priorities and delivery plans.
• Prioritise capabilities by user value, security impact, data quality, technical feasibility and enterprise reuse.
• Lead cross-functional delivery across identity, data, AI, security, architecture and platform engineering.
• Build products that connect identity information and generate signals from authentication, access, behavioural and operational data.
• Establish product measures and use data, evidence and stakeholder feedback to guide decisions and continuous improvement.
• Manage dependencies, risks and trade-offs across workstreams while supporting sustainable platform development.
• Communicate roadmap progress, product performance, risks and strategic decisions to senior stakeholders.

Required profile

• Product ownership or technical programme leadership experience in a large, complex enterprise.
• Experience defining product vision, strategy, roadmaps and measurable outcomes for technical or data products.
• Understanding of identity and access management, identity security or identity data platforms.
• Ability to influence senior stakeholders and lead delivery across multiple concurrent workstreams.
• Strong analytical judgement and experience partnering with engineering, architecture, cybersecurity, risk and business teams.

Required skills

• Data platforms, APIs, distributed systems or cloud-native technology.
• Familiarity with data modelling, data quality and relationship-based capabilities.
• Graph technologies such as Amazon Neptune, Neo4j or TigerGraph are highly regarded.
• Graph analytics, event-driven architectures, real-time data processing, security analytics, risk modelling, machine identity, privileged access, AI or machine learning are valuable.