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Product Manager, Specialist

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Vanguard Group, Inc.
Full Time position
Listed on 2026-02-24
Job specializations:
  • IT/Tech
    Product Designer, Data Analyst
Job Description & How to Apply Below
Location: Greater London

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Leads the strategic vision and roadmap for a digital product, demonstrating a understanding of the digital product(s) and associated business areas. Digital products often have divisional implications.

Core Responsibilities
  • Provides digital product management services on a digital product, applying functional expertise to improve digital product results.
  • Collaborates with small cross-functional teams to demonstrate best practices that drive significant change to the client experience.
  • Coaches digital product teams towards best practices and learnings. Ensures delivery of messaging, communication, and customer outreach as necessary.
  • Partners with stakeholders to resolve production and implementation issues in a timely manner, and supports/drives escalations where required to enable rapid delivery.
  • Leads the planning, development and implementation of a new digital product. Defines and analyzes markets, developing detailed product features and requirements, and developing implementation plans.
  • Employs a variety of qualitative and quantitative analysis techniques to continually improve the user experience.
  • Participates in and provides recommendations for ongoing business planning and departmental prioritization activities.
  • Participates in special projects and performs other duties as assigned.
Qualifications

Minimum of three years related work experience. Two years of managing a project preferred. Financial Services or function-specific experience preferred.

Undergraduate degree or equivalent combination of training and experience.

Job Description:

AI Product Manager

Role Overview

We are seeking a dynamic and strategic AI Product Manager to lead the successful delivery and lifecycle management of our enterprise AI use cases. This role sits at the intersection of product strategy, technology, agile delivery, and stakeholder engagement. The AI Product Manager will own both the implementation and long‑term evolution of AI‑powered products and tools, ensuring they are embedded seamlessly into the business and deliver measurable value.

You'll be responsible for managing a portfolio of AI initiatives-from ideation through to deployment and scaling-while ensuring user‑centric design, technical feasibility, governance, and KPIs are all aligned to strategic goals. Working closely with cross‑functional teams including Data Science, Engineering, Operations, Compliance, and CX, you will define product visions, break them into actionable work, and ensure consistent delivery using agile methodologies.

This is a highly collaborative, hands‑on role that requires a strong mix of product thinking, technical awareness, project leadership, and business communication skills.

Key Responsibilities 1. Product Ownership & Strategy
  • Define and own the roadmap for multiple AI product use cases, from discovery through to production and post‑launch support.
  • Align product goals with wider business strategy and KPIs, ensuring every use case ties back to tangible impact.
  • Evaluate and prioritize AI initiatives based on value, risk, feasibility, and stakeholder needs.
  • Continuously improve AI product performance and user adoption based on feedback and analytics.
2. Delivery & Agile Management
  • Translate business problems into detailed epics, features, and user stories in JIRA.
  • Collaborate with developers, data scientists, MLOps engineers, and scrum masters to ensure smooth execution.
  • Own the backlog: prioritise and groom regularly, ensuring clarity of acceptance criteria and dependencies.
  • Track and report against delivery milestones and KPIs.
3. Stakeholder & Change Management
  • Work across multiple business and technology teams to gather requirements, validate problems, and socialise solutions.
  • Engage senior stakeholders and subject matter experts regularly to secure buy‑in and ensure alignment.
  • Run workshops, demos, and training sessions as needed to onboard users and gather feedback.
  • Be the voice of the customer: ensure the AI products are usable, useful, and adopted.
4. AI Governance & Risk Management
  • Partner with Legal, Risk, and Compliance to ensure AI products…
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