FSS - 3076 - Product Owner — AI-Enabled Operations & Controls Platform

Person Details Suresh Dakshinamoorthy Product Owner — AI-Enabled Operations & Controls Platform (New York City, NY, 10001) | 05/23/26 Easy Job Description

Role:

Product Owner — AI-Enabled Operations & Controls Platform (Back Office Operations & Global Business Finance)

Location:

New York, NY

Type:

Consultant (Right-to-Hire) | Full-Time

Role Summary:

Own product vision, roadmap, prioritization, and stakeholder alignment for AI-enabled back-office operations and controls. Partner with Back Office Operations & Global Business Finance to modernize workflows using AI, intelligent automation, and operational controls. Key Responsibilities

• Lead discovery phase: define problems, workflows, constraints, and success metrics.
• Build and manage product roadmap balancing transformation, stability, and near-term oues.
• Drive AI-enabled transformation across reconciliation, exception management, controls monitoring, and evidence generation using ML, NLP, LLMs, and automation.
• Manage delivery execution: milestones, risks, dependencies, and transparency.
• Collaborate across business, engineering, architecture, data science, and leadership.
• Own and prioritize backlog, epics, and stories with clear acceptance criteria.
• Champion quality, controls, auditability, and responsible AI usage.
• Handle stakeholder conflicts and align teams toward oues. Required Qualifications
• 7+ years as Product Owner, Product Manager, or Senior Business Analyst in financial services.
• Direct experience in back-office operations, fund accounting, reconciliation, treasury, controller workflows.
• Proven experience leading AI-driven / intelligent automation initiatives in finance or investment operations.
• Strong expertise in fund accounting, NAV, GL controls, reconciliation platforms, operational controls within asset managers, hedge funds, or fund administrators.
• Strong planning, budgeting, execution, and stakeholder management skills.
• Comfortable working with engineering and data science teams; understanding of software development, AI models, and workflow integration.
• Strongmunication, problem-solving, integrity, and decision-making under ambiguity. Nice to Have
• Experience with Geneva, Arcesium, Investran, Kyriba, or similar platforms.
• Treasury, cash management, or investment operations transformation experience.
• Experience with external fund administrators, CI/CD, cloud, event-driven systems, workflow orchestration, and data platforms.
• Familiarity with AI/ML frameworks, LLM integrations, and intelligent automation platforms in financial services