Acting as a trusted advisor the specialist will balance innovation with compliance enabling responsible AI practices that support sustainable growth.

Key Responsibilities

AI Governance & Oversight

• Translate VIAs AI Strategy into actionable programs that deliver measurable value through client experience enhancements crew productivity gains and business growth.

• Contribute to Vanguard Australias AI governance operating model ensuring compliance with Enterprise AI Policy and regulatory obligations.

• Partner with AI Specialists maintain governance guardrails for ethical AI adoption covering principles of safety security fairness transparency explainability and reliability.

• Participate in ongoing business planning departmental prioritisation and special projects as required.

• Oversee model governance processes across the lifecycle including validation monitoring and risk scoring.

• Coordinate and report into the VIA AI Council and subcommittees to ensure robust oversight of AI.

• Monitor AI adoption metrics and report progress to the AI Council and AET.

• Support automation of governance workflows to streamline compliance and reduce operational overhead.

AI Enablement & Capability Building

• Champion AI literacy programs and change management initiatives to uplift organisational readiness for AI-enabled ways of working.

• Partner with HR and L&D to embed AI education into onboarding and career pathways.

• Act as an AI Navigator guiding business teams through intake approval and deployment processes for AI use cases.

• Coach technical product teams on best practices and learnings related to AI and AI tooling.

• Collaborate with engineering teams on development practices continuous integration and automated deployment.

AI Product Management

• Lead Product Management activities for multiple AI/ML products

• Prioritise and manage the AI use case portfolio ensuring alignment with VIAs three-year strategic objectives.

• Foster strong partnerships with internal and external stakeholders to ensure consistent decision-making and alignment on client propositions.

• Drive the planning development and implementation of AI/ML solutions including defining product features analysing markets and creating implementation plans.

• Manage the entire product lifecycle from strategy to execution ensuring alignment with organisational goals and Vanguards global AI principles.

• Collaborate with cross-functional teams to design and continuously improve AI/ML technical solutions that enhance client and crew experiences.

• Employ qualitative and quantitative analysis techniques to optimise client and crew experience and inform future product improvements and identify business growth opportunities.

• Partner with Technology and CDAO to mature AI-ready data and ensure robust integration of AI platforms and tools.

Qualifications & Experience

• Proven experience in AI governance enablement or risk management within regulated industries (preferably financial services).

• Strong understanding of AI/ML lifecycle model risk management and compliance frameworks.

• Demonstrated ability to lead cross-functional programs influence senior stakeholders and manage complex portfolios.

• Familiarity with AI technologies (Generative AI agentic AI ML platforms) and associated ethical considerations.

• Excellent communication skills with ability to educate and evangelise AI adoption across diverse audiences.

• Demonstratable experience in AI/ML product management or related roles with at least 5 years in technical product leadership.

• Bachelors degree (B.E./) in Computer Science Artificial Intelligence Data Science Information Systems or a related technical field; Masters degree preferred.

• Good to have skills in AI/ML product lifecycle management user-centric design market analysis stakeholder engagement and end-to-end implementation planning.

• Platform skills should include familiarity with cloud platforms (AWS Azure GCP) ML frameworks (TensorFlow PyTorch) and analytics tools.

• Strong critical thinking problem-solving time management and both verbal and written communication skills are essential.

• Any of the certifications preferred: Certified Scrum Product Owner (CSPO) AWS Certified Machine Learning Specialty Google Cloud Professional Machine Learning Engineer or Pragmatic Product Management certifications.

• Ability to drive innovation synthesize data insights into actionable plans and collaborate effectively in cross-functional agile teams.

How This Role Drives VIAs AI Strategy

• Governance: Establish guardrails and ethical frameworks to enable responsible AI adoption at scale.

• Enablement: Build organisational capability through education tooling and process simplification.

• Acceleration: Prioritise high-value use cases that deliver personalised client experiences operational efficiencies and business growth.

• Measurement: Define and track KPIs for AI adoption risk mitigation and value realisation to ensure VIA achieves its strategic objectives.

Reporting Line

• Reports to: Head of Technology Strategy & Governance Vanguard Australia

• Dotted Line: AI Lead / Head of Technology

• Works closely with: VIA AI Council CDAO Risk HR Technology Activation Subcommittee

Why Join Vanguard

• Shape the blueprint: Define guardrails accelerate safe adoption and convert strategy into measurable outcomes.

• Operate with executive backing: Partner directly with the VIA AI Council and governance forums for sponsorship and reach.

• Build capability at scale: Stand up systems and skills for repeatable auditable and fast AI adoption.

• Drive real valuenot just pilots: Prioritise high-value opportunities and instrument metrics for ROI.

• Work with modern data & platforms: Mature AI-ready data and integrate robust AI tools and frameworks.

• Grow with a mission-led culture: Influence how AI elevates experiences for clients and crew under strong ethical principles.

• Leave a firmwide legacy: Create a durable scalable approach to AI that positions VIA for success.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members designed to capture the benefits of enhanced flexibility while enabling in-person learning collaboration and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.