Key Responsibilities:

• Own product strategy and roadmap for AI/ML products with enterprise and cross‑divisional impact, supporting IT, Office of General Counsel (OGC), Global Risk & Strategy (GRS), and Internal Audit.

• Lead end‑to‑end AI digital product management, ensuring alignment with divisional objectives and clear, measurable business outcomes.

• Identify, shape, and prioritize high‑value AI use cases, defining problem statements, success metrics, and delivery roadmaps.

• Translate ambiguous and complex problem spaces into well‑defined hypotheses, actionable AI/ML plans, and learning agendas that guide experimentation and decision‑making.

• Drive hypothesis‑driven experimentation, including design and execution of pilots and MVPs to validate assumptions and inform product evolution.

• Make sound, timely decisions in emerging and innovative domains by assessing opportunities, tradeoffs, and risks under conditions of uncertainty.

• Build and maintain scalable AI product roadmaps that balance near‑term value delivery with long‑term strategic goals.

• Apply modern AI capabilities, including agentic systems capable of reasoning, planning, and task execution, to automate workflows and improve enterprise decision‑making.

• Collaborate closely with data science, engineering, and governance teams to integrate AI capabilities into production solutions, with a focus on accuracy, latency, security, reliability, and compliance.

• Influence and align cross‑functional teams across product, technology, design, and business functions to establish best practices and drive meaningful experience improvements.

• Coach and mentor product practitioners, promoting consistency in approach, adoption of best practices, and continuous learning across teams.

• Drive strong stakeholder alignment across internal and external partners, ensuring product decisions reflect strategic priorities and enterprise needs.

Qualifications:

• 8+ years of product management experience, including delivery of AI/ML‑enabled products in enterprise environments.

• Strong experience partnering with data science and engineering teams to deliver production‑ready solutions.

• Solid understanding of LLMs and modern AI systems, including their practical application to real business workflows.

• Proven ability to operate effectively under ambiguity and influence senior stakeholders across organizations.

• Experience managing AI platforms or product portfolios with enterprise adoption.

• Track record of leading products in ambiguous, emerging technology domains.

• Experience operating in regulated or risk‑sensitive environments, with deep working knowledge of IT, OGC, GRS, or Finance domains preferred

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

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.