Product Manager
Overview
An established investment-focused organization is seeking a Product Manager to lead strategic technology initiatives across its investment and business operations platforms. This role will partner with stakeholders across business and technology teams to enhance critical systems, improve data accessibility, and drive operational efficiency through modernization, automation, and emerging technologies.
Key Responsibilities
- Define and manage product roadmaps for investment and operational technology platforms.
- Gather business requirements and translate them into actionable product features and enhancements.
- Partner with business, operations, and technology teams to prioritize initiatives and drive execution.
- Support data platform improvements, integrations, reporting capabilities, and analytics solutions.
- Identify opportunities to leverage automation and AI to improve processes and decision-making.
- Lead Agile product management activities including backlog management, sprint planning, and stakeholder communication.
- Collaborate with internal and external partners to ensure successful delivery of product initiatives.
- Drive continuous improvement of systems, workflows, and user experiences.
Required Qualifications
- 7+ years of experience in product management, business systems, investment operations, or related technology roles.
- Experience supporting financial services, investment management, asset management, or similar industries.
- Strong understanding of business processes, enterprise applications, data platforms, and system integrations.
- Experience working with analytics, reporting, and data-driven applications.
- Knowledge of Agile methodologies and product delivery frameworks.
- Ability to work effectively with technical and non-technical stakeholders.
- Experience evaluating and implementing technology solutions that improve business outcomes.
Preferred Qualifications
- Experience supporting alternative investments, asset management, wealth management, or financial operations.
- Exposure to AI, automation, advanced analytics, or modern data platforms.
- Experience working within complex, data-intensive business environments.