Product Manager, Specialist

As a Product Manager within the Investment Performance ecosystem, you will lead a cross-functional product team responsible for delivering a core element of the client experience-how clients understand and trust the performance of their portfolios.
The position blends product strategy, sophisticated investment and data platforms, and AI-enabled product practices to drive tangible business outcomes. You will lead outcome-oriented discovery across performance calculation, benchmarking, attribution, data quality, controls, and transparency, using experimentation and iteration to accelerate learning and delivery.
Working in close partnership with engineering, UX, data & analytics, compliance, and business leaders, the role provides broad exposure across the performance ecosystem and the opportunity to influence how modern, AI-driven product management is applied to investment performance at scale.

Key Responsibilities:

Product Leadership & Strategy

• Define and communicate a clear product vision, strategy, and measurable outcomes for Billing & Revenue products and capabilities.
• Lead continuous product discovery to identify high-value client, operational, and business opportunities across fee calculation, invoicing, revenue recognition, and reporting workflows.
• Own backlog prioritization, story refinement, and iterative delivery, balancing speed, experimentation, and enterprise-grade reliability, scalability, and control requirements.

• Leverage AI tools across the product lifecycle-from research and synthesis to automation, quality improvement, and delivery acceleration.
• Partner with engineering, UX, data, and audit teams to embed AI into workflows, improving development efficiency, testing, data access, and audit support.
• Share AI best practices, prompting patterns, and tool guidance to upskill product teams and cross-functional partners.

• Serve as the primary product point of accountability for direction, prioritization, and trade-offs across Billing & Revenue initiatives, including platform modernization and capability alignment.
• Drive alignment across product, finance, accounting, engineering, and data stakeholders, navigating dependencies and resolving ambiguity.
• Foster transparent communication and trust, enabling fast decision-making and effective collaboration across teams and domains.

• Strong ability to define strategy, assess opportunities, and guide teams through discovery, delivery, and iteration in complex enterprise environments.
• Demonstrated experience balancing user desirability, technical feasibility, and business viability, particularly in regulated or financially sensitive domains.

• Exceptional communication, storytelling, and relationship-building skills with senior stakeholders.
• Proven ability to influence without authority and align diverse partners across complex organizational structures.

• Comfort working with AI-enabled tools, data-driven insights, and modern product and engineering practices.
• Ability to translate complex technical and financial concepts into clear, actionable direction for cross-functional teams.

• Curious, adaptable, and energized by ambiguity, innovation, and experimentation.
• A builder mindset with a willingness to test ideas, learn quickly, and iterate toward better outcomes.

• High Visibility & Strategic Impact: Direct engagement with senior leaders across product, engineering, finance, and transformation initiatives.
• Broad Product Exposure: Opportunity to work across a wide range of Billing & Revenue capabilities, client experiences, and modernization efforts.
• Early Access to AI Capabilities: Hands-on exposure to advanced AI tools, copilots, and internal pilots applied to real enterprise problems.
• Accelerated Career Development: Growth in product strategy, innovation leadership, and AI-enabled product management.

• Undergraduate degree or equivalent combination of training and experience required. Graduate degree preferred.
• Minimum of five years related work experience. Two years of leading large cross-functional teams on major organizational projects preferred.