Product Manager, Specialist

Leads the strategic vision and roadmap for a digital product, demonstrating an 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.

Key Responsibilities

• 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.
• 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.
• 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.
• Partner with Legal, Risk, and Compliance to ensure AI products meet regulatory, ethical, and transparency requirements.
• Create and maintain structured documentation for AI products, including business context, workflows, known limitations, and user guides.

Experience & Skills Required

• Proven experience as a Product Manager, AI Delivery Manager, or Technical Product Owner.
• End‑to‑end product ownership of technology or data‑driven solutions.
• Hands‑on experience with Agile software development (JIRA, user stories, backlog management).
• Strong stakeholder engagement and communication skills across technical and non‑technical audiences.
• Familiarity with common AI/ML concepts: NLP, classification, summarisation, generative AI.
• Ability to work across multiple priorities and drive alignment in ambiguous environments.
• Experience managing KPIs, dashboards, and impact tracking.

Desirable

• Previous experience working with Data Science or MLOps teams.
• Exposure to prompt engineering or LLM‑based products (e.g., GPT‑4, Claude, Gemini).
• Familiarity with AI governance principles and regulatory compliance (e.g., EU AI Act, Responsible AI frameworks).
• Background in financial services or regulated industries.

Success Measures

• Consistently deliver AI use cases that are adopted and used by the business.
• Maintain strong stakeholder trust and clear communication channels.
• Translate technical capabilities into products that are usable, valuable, and compliant.
• Establish clear KPIs for every product you manage and use data to improve outcomes.
• Help your team reduce delivery risks by identifying unknowns early and making decisions swiftly.

Role Details

• Reports to: Head of AI Enablement
• Location: Hybrid – London
• Contract Type: Full‑time
• Salary: Competitive + bonus + benefits

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.