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.
Skills Required
- 8+ years of product management experience
- Experience delivering AI/ML products in enterprise environments
- Experience with data science and engineering teams
- Solid understanding of LLMs and modern AI systems
- Ability to operate under ambiguity and influence stakeholders
- Experience managing AI platforms or product portfolios
- Experience in regulated or risk-sensitive environments
Vanguard Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vanguard and has not been reviewed or approved by Vanguard.
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Retirement Support — Retirement support appears unusually strong through a 401(k) design that includes a match plus an additional employer contribution, which can materially lift long-term total rewards. HSA seeding and an enhanced employer match further strengthen the savings-and-benefits value of the package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle support is reinforced by a sizable annual FlexFund stipend that can be applied across many day-to-day categories such as fitness, childcare, and other personal expenses. On-site or virtual clinics and fitness options add practical health and wellness convenience.
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Affordable Benefits — Healthcare and related benefits are positioned as comparatively affordable via heavily subsidized medical plans and broad coverage options. This affordability can offset moderate base pay for employees who place higher value on out-of-pocket cost reductions.
Vanguard Insights
What We Do
We are a community of 30 million who think – and feel – differently about investing. Together, we’re changing the way the world invests. Since our founding in 1975, helping our investors achieve their goals is our sole reason for existence. With no other parties to answer to and therefore no conflicting loyalties, we make every decision—like keeping investing costs as low as possible—with only your needs in mind. Vanguard is one of the world's largest investment companies, offering a large selection of high-quality low-cost mutual funds, ETFs, advice, and related services. Individual and institutional investors, financial professionals, and plan sponsors can benefit from the size, stability, and experience Vanguard offers. As of April 30, 2019, we managed more than $5.6 trillion in global assets. In addition, we have 189 funds in the United States and 225 funds in global markets. For Commenting Guidelines & Important information, visit here: http://vanguard.com/linkedin Vanguard Marketing Corporation, Distributor.
