Role: Product Owner — AI-Enabled Operations & Amp
Location: New York, New York
Position Overview
global team of alternative investment managers passionate about delivering
uncommon value to our investors and shareholders. With over 30 years of proven expertise
across Private Equity, Credit, and Real Assets in various regions and industries, we're known
for our integrated businesses, strong investment performance, value-oriented philosophy, and
our people.
We're looking for a Product Owner who can own outcomes, not just artifacts — and who brings
a vision for how AI and intelligent automation can fundamentally improve how back-office
operations and controls work. This role blends product thinking, deep financial services
operations knowledge, and hands-on experience driving AI-enabled transformation: shaping a
roadmap, aligning stakeholders, planning intelligently, and driving execution with transparency.
You'll partner closely with Back Office Operations and Global Business Finance, helping
modernize workflows and platforms in a way that is practical, controlled, and genuinely
improves how the business runs — with AI as a core enabler.
Our team has a track record of delivering ~95% of projects on time and under budget. We do
that by treating ambiguity as work: we break complex initiatives into two phases — Discovery (to
distill the real problem, align stakeholders, and establish a confident plan) and Delivery (to
execute with clear milestones, risks, and dependencies).
What You & ll Do
• Own discovery. Lead structured discovery efforts to clarify problem statements, current-state
• workflows, constraints, and success metrics — then translate that into a plan stakeholders
• can believe in.
• Set direction. Build and maintain a product roadmap that balances transformation, near-term
• outcomes, and operational stability.
• Drive AI-enabled transformation. Identify opportunities to embed AI, ML, and intelligent
• automation into operational workflows — from reconciliation matching and exception triage
• to controls monitoring and evidence generation. Work with data science and engineering to
• move beyond manual processes, designing workflows where AI augments human judgment
• rather than replacing it.
• Run delivery with discipline. Define milestones, manage dependencies, track progress, and
• surface risks early — without drama or surprises.
• Be the connective tissue. Coordinate across business users, engineering, architecture, data
• science, and leadership; communicate status, tradeoffs, and decisions clearly.
• Bring users along. We use agile practices, but not every user group is mature in agile. You'll
• build trust through honest conversations, humility, and transparency — helping partners
• adopt better ways of working over time.
• Own the backlog. Translate needs into well-formed epics and stories with clear acceptance
• criteria; prioritize based on business value, risk, and effort.
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