Job Description
Lead the engineering capability for Data Services, Products and AI Enablement in the Financial Services Product & Technology team. Drive strategy, design, delivery, and governance of data and AI platforms that enable smarter customer experiences and better business decisions.
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Responsibilities
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Lead the engineering strategy for Data and AI, aligned with business priorities, technology strategy, and enterprise data principles.
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Oversee and guide technical solution design across the domain, drawing on team members to arrive at optimal outcomes.
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Ensure engineering excellence through robust technical judgment, decision‐making, and adoption of company standards, platforms, and practices.
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Maintain technical operational excellence across products and services, including system health, resilience, performance, reliability, security, and compliance.
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Partner with the Principal Product Manager, Data & AI to shape roadmaps that connect business value, customer needs, data strategy, and engineering feasibility.
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Ensure data & AI platforms, pipelines, and services are built with strong governance, clear ownership, appropriate controls, and high trust in quality and integrity.
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Guide teams in building scalable data‐intensive applications, data services, and AI‐enabled capabilities that evolve sustainably over time.
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Support responsible AI adoption by helping teams make sound choices about architecture, experimentation, tooling, data readiness, model integration, and operational guardrails.
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Contribute to the broader technical strategy and help align cross‐team decisions where dependencies exist.
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Hire, grow, and support the next generation of engineering leaders and deep technical specialists.
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Coordinate delivery across multiple teams, maintaining accountability for outcomes, visibility of progress, and clear management of dependencies and risks.
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When required, support larger cross‐functional programs and work closely with program and business stakeholders to shape execution plans.
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Qualifications
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Proven experience leading engineering teams in complex product or platform environments.
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Strong people‐leadership experience, including leading Engineering Managers and nurturing leadership capability.
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Deep experience with data & AI platforms, data‐intensive systems, data pipelines, data services or data products at scale.
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Solid, recent, and practical AI experience, with the judgment to help teams apply AI in valuable, sustainable, and responsible ways.
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Strong technical understanding of modern data architectures, distributed systems, platform health, observability, reliability, and operational excellence.
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Experience shaping and delivering technical strategy across multiple squads or product areas.
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Experience partnering closely with senior product counterparts to turn ambiguous strategy into clear priorities and execution plans.
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Strong understanding of governance, compliance, risk, and quality expectations in environments where trust in data matters.
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Experience in financial services, lending, regulated products, CRM/data ecosystems, or applied AI in operational product environments highly regarded.
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Proven experience in leading data & AI platforms covering event‐driven architectures, data ingestion & orchestration, data warehousing, multi‐cloud architectures, and LLM model capabilities.
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Familiarity with monitoring & observability, security platforms, RAG systems, multi‐agent workflows, cloud AI services, LLM gateways, AI observability, cost management, and platform modernisation is beneficial.
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Benefits
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A hybrid and flexible approach to working.
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Flexible leave options including birthday leave and the ability to purchase additional leave.
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Flexible parental leave for primary and secondary carers.
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Volunteer leave, community grants, matched payroll giving, and a Community Café that donates 100% of revenue to charity.
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Hackdays for bringing big ideas to life.
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Equal Employment Opportunity
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We are committed to providing a working environment that embraces and values diversity, equity and inclusion. We are an equal opportunity employer and welcome applications from all qualified individuals.
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📌 Head Of Engineering Ai & Data (Victoria)
🏢 Rea Group
📍 Victoria