Engineering Senior Manager

Senior Engineering Manager, Identity Graph & Signals Engineering

• You are a senior engineering leader with strong technical judgement, people leadership capability and experience across identity, data, AI and platform engineering.

• We are building the next generation of enterprise identity intelligence, connecting fragmented identity data into trusted insights, real-time risk signals and automated security outcomes.

See yourself in our team

We are seeking a Senior Engineering Manager to lead the Identity Graph & Signals Engineering team.

You will lead the development of graph-based identity capabilities, data platforms and services that connect identity information across the enterprise and turn it into actionable security intelligence. The role spans graph technologies, data engineering, real-time processing, cloud-native platforms and identity security.

Do work that matters:

• Lead, coach and grow a high-performing engineering team, building strong technical capability and a culture of reliable delivery.

• Define and deliver the technical strategy for identity intelligence, graph capabilities, signals and supporting platforms.

• Build scalable data pipelines, services, APIs and connected identity models using modern cloud-native engineering practices.

• Integrate identity data from enterprise systems and authoritative sources, with strong controls for quality, lineage and reliability.

• Model identity relationships across workforce, customer, machine and privileged identities.

• Generate real-time signals from authentication, access, behavioural and operational data to support detection, risk analytics and automation.

• Apply graph analytics, data analytics and AI to identify patterns, anomalies and relationships across identity data.

• Drive CI/CD, Infrastructure as Code, automated testing, observability and operational excellence.

• Build secure, resilient and scalable solutions while balancing delivery priorities with platform health and technical debt.

• Partner with architects, security leaders, product owners and engineering teams to translate technical complexity into clear business and security outcomes.

• Influence technology direction through strong engineering judgement and evidence-based decision making.

We are interested in hearing from people who have:

• Significant experience leading engineering teams in complex enterprise environments.

• Strong software engineering capability in Java, Python, Go, TypeScript or similar languages.

• Experience building and operating large-scale data platforms, APIs and distributed systems.

• Cloud engineering experience across AWS, Azure or GCP.

• Strong understanding of event-driven architectures, streaming and real-time processing.

• Experience with graph technologies, connected data or relationship modelling.

• Strong data engineering foundations across modelling, ETL/ELT and data quality.

• Understanding of identity and access management.

• Experience delivering across multiple concurrent workstreams.

• Proven ability to influence senior stakeholders and drive strategic outcomes.

• Strong people leadership and coaching capability.

Highly regarded:

Experience in any of the following would be valuable, but is not essential:

• Identity security or identity data platforms.

• Amazon Neptune, Neo4j, TigerGraph or similar graph technologies.

• Graph analytics, relationship modelling and connected data architectures.

• Identity governance and administration.

• OAuth 2.0, OpenID Connect and SAML.

• Privileged access and machine identity.

• Security analytics, threat detection and risk modelling.

• AI, machine learning or agentic systems.

• Platform engineering and developer experience.

• Real-time data processing and event streaming technologies.

What success looks like

Success in this role means:

• Establishing trusted identity graph and intelligence capabilities across the enterprise.

• Delivering reusable services that support security, risk and engineering teams.

• Generating high-quality signals that improve detection, decision-making and automation.

• Improving the quality and accessibility of connected enterprise identity information.

• Building secure, scalable and sustainable engineering platforms.

• Developing a highly engaged and technically respected engineering team.

• Helping shape the organisation’s longer-term identity, data and AI strategy.

Your leadership style

You think in systems, operate effectively in ambiguity and bring strong engineering judgement.

You challenge unnecessary complexity, use data and evidence to inform decisions, and balance strategic direction with execution.

You build trust through transparency, collaboration and consistent delivery.

Working with us

At CommBank, we support our people to grow, belong and thrive. We offer flexible and hybrid working arrangements, career development opportunities, learning and leadership programs, inclusive employee networks and wellbeing support.

Our people bring diverse backgrounds, perspectives and experiences to create an inclusive, respectful and supportive workplace where everyone can make a meaningful impact.

Inclusion and accessibility

At CommBank, we’re committed to building a diverse and inclusive workforce that reflects the communities we serve. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples.

We’re committed to making our recruitment process accessible for everyone. If you require adjustments at any stage of the recruitment process, including alternative formats, additional support or interview adjustments, please let us know.