Description

Key Responsibilities

Own the product vision, roadmap, and prioritization for Operations & Controls platforms.

Lead product discovery by understanding business problems, operational workflows, and stakeholder requirements.

Partner with Back Office Operations, Controllers, Finance, and Technology teams to improve operational processes.

Drive modernization initiatives in fund control accounting workflow automation, and operational reporting.

Build and manage the product backlog, define user stories, and prioritize features based on business value.

Coordinate delivery across engineering, architecture, and business stakeholders.

Track milestones, dependencies, risks, and delivery progress.

Promote transparency and effective stakeholder communication throughout the product lifecycle.

Identify practical opportunities where AI and automation tools can improve productivity, decision-making, and operational efficiency.

Ensure solutions meet governance, audit, and operational control requirements.

 

Required Qualifications

5+ years of experience as a Product Owner, Product Manager, or Senior Business Analyst within Financial Services.

Strong experience supporting Back Office Operations, Fund Controllers, and Finance Operations.

Has fund accounting domain literacy, hands-on exposure to at least one fund accounting/admin platform, exception management

Experience building or enhancing corporate back-office platforms and operational systems.

Demonstrated experience translating fund control requirements — NAV integrity, cash/position break resolution, and controller sign-off workflows — into product specs and acceptance criteria that satisfy audit and governance standards.

Excellent stakeholder management and cross-functional collaboration skills.

Proven ability to manage product roadmaps, planning, prioritization, and execution.

Strong analytical, communication, and problem-solving skills.

Familiarity with AI tools (e.g., ChatGPT, Copilot, Gemini) and understanding of where AI can improve operational workflows. Hands-on AI solution development is not required.

Ability to work effectively with engineering teams and understand modern software delivery practices

Key Skills

Education

Bachelor's degree