Job Description

Senior Engineering Manager, Identity Graph & Signals Engineering

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

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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.

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See yourself in our team

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

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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.

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Do work that matters:

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

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

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

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

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

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

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

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

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

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Partner with architects, security leaders,



product owners and engineering teams to translate technical complexity into clear business and security outcomes.

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

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We are interested in hearing from people who have:

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- Significant experience leading engineering teams in complex enterprise environments.
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- Strong software engineering capability in Java, Python, Go, TypeScript or similar languages.
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- Experience building and operating large-scale data platforms, APIs and distributed systems.
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- Cloud engineering experience across AWS, Azure or GCP.
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- Strong understanding of event-driven architectures, streaming and real-time processing.
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- Experience with graph technologies, connected data or relationship modelling.
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- Strong data engineering foundations across modelling, ETL/ELT and data quality.
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- Understanding of identity and access management.
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- Experience delivering across multiple concurrent workstreams.
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- Proven ability to influence senior stakeholders and drive strategic outcomes.
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- Strong people leadership and coaching capability.
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Highly regarded:

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- Experience in any of the following would be valuable, but is not essential:
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- Identity security or identity data platforms.
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- Amazon Neptune, Neo4j, TigerGraph or similar graph technologies.
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- Graph analytics, relationship modelling and connected data architectures.
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- Identity governance and administration.
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- OAuth 2.0, OpenID Connect and SAML.
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- Privileged access and machine identity.
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- Security analytics, threat detection and risk modelling.
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- AI, machine learning or agentic systems.
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- Platform engineering and developer experience.
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- Real-time data processing and event streaming technologies.
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What success looks like

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Success in this role means:

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Establishing trusted identity graph and intelligence capabilities across the enterprise.

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

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

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Improving the quality and accessibility of connected enterprise identity information.

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Building secure, scalable and sustainable engineering platforms.

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Developing a highly engaged and technically respected engineering team.

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

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

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

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You build trust through transparency, collaboration and consistent delivery.

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Working with us

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At CommBank, we support our people to grow, belong and thrive.

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- flexible and hybrid working arrangements
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- career development opportunities
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- learning and leadership programs
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- inclusive employee networks
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- wellbeing support
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Our people bring diverse backgrounds, perspectives and experiences to create an inclusive, respectful and supportive workplace where everyone can make a meaningful impact.

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Inclusion and accessibility

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At CommBank, we're committed to building a diverse and inclusive workforce that reflects the communities we serve.

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We strongly encourage applications from Aboriginal and Torres Strait Islander peoples.

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We're committed to making our recruitment process accessible for everyone.

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If you require adjustments at any stage of the recruitment process, including alternative formats, additional support or interview adjustments, please let us know.

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📌 Engineering Senior Manager (Victoria)
🏢 Commbank
📍 Victoria