at J.P. Morgan
Bulge Bracket Investment BanksPosted 13 days ago
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**Role: Product Management - Vice President** - Spearhead product strategy, leveraging AI and data for measurable business impact. - Lead end-to-end product delivery, optimize processes, and manage timelines. - Champion innovation by integrating customer solutions and AI enhancements. - Oversee UAT and ensure data quality for robust AI features. - Foster continuous improvement and drive cultural change within the team. - Required: Extensive product management experience, strategic thinking, and stakeholder management skills. - Preferred: Product development life cycle knowledge, Jira proficiency, AI product experience.
- Compensation
- Not specified GBP
- City
- London
- Country
- United Kingdom
Currency: £ (GBP)
Full Job Description
Location: LONDON, LONDON, United Kingdom
As Product Management - Vice President in Portfolio Investment Governance Product team you will drive the vision, strategy, and execution of our data-driven product suite. You will be responsible for leading end-to-end product delivery, championing innovation, contributing to our AI enablement, and ensuring our products deliver measurable business impact. This role requires strategic thinking, deep product expertise, and the ability to influence and build consensus across diverse stakeholder groups.
The Portfolio Investment Governance Product team manage one of the most critical products within the Finance & Business Management ecosystem that is focused on enabling processes such as Portfolio Management, Capacity Management, Financial Management, Execution & Delivery and Reporting. The over-arching aim of the Product suite is to improve the decision making on Technology Investments with consistent data and Taxonomies across GT. The Product Suite consists of a set of interconnected applications and microsystems that are evolving at a rapid pace to keep up with the growing needs of the organization and evolution to a Product operating model. The product team is responsible for setting the product vision, mission, and ensuring that the functionality helps solve real world problems for the Finance & Business Management organization.
- Define and execute product strategies that leverage AI and data-driven approaches, aligning with business objectives and market opportunities.
- Lead end-to-end product delivery processes, including intake, dependency management, release management, product operationalization and delivery feasibility.
- Identify and escalate opportunities to improve efficiencies and functional coordination across teams.
- Manage timelines, dependencies, and blockers, ensuring adequate resourcing and effective stakeholder communication.
- Guide discovery efforts to uncover customer solutions and integrate them into the product roadmap.
- Maintain and develop a product backlog that supports the strategic roadmap and value proposition.
- Oversee User Acceptance Testing (UAT) and contribute to user documentation.
- Apply advanced concepts such as prompt design, context engineering, and data-driven product behaviour to inform product decisions.
- Identify and evaluate opportunities where AI can enhance user experience, automation, or decision-making.
- Stay current with evolving AI trends and assess their relevance to product strategy.
- Ensure data quality, context, and input design for effective AI-driven features.
- Foster a culture of continuous improvement and innovation within the product team.
- Extensive work experience (or equivalent expertise) in product delivery/management or a relevant domain area, with a track record of success in senior or Vice President level roles.
- Demonstrated ability to execute operational management and change readiness activities at scale.
- Strong understanding of product delivery and proven experience implementing continuous improvement processes.
- Experience in product or platform-wide release management, deployment processes, and strategies.
- Familiarity with prompt design, context engineering, and data-driven product behaviour and working in agile environment
- Ability to balance innovation with business impact and feasibility, especially in AI adoption.
- Strong analytical, communication, and stakeholder management skills, with the ability to build consensus and influence at all levels.
- Proficient knowledge of the product development life cycle, design, and data analytics.
- Experience using Jira Scrum boards and managing various issue types in Jira.
- Experience in user acceptance testing and user documentation.
- Exposure to AI-driven product features and data quality best practices.
