Director, Data Operations

COMPANY: Canoe Intelligence

WEBSITE: https://canoeintelligence.com/

TITLE: Director, Data Operations

LOCATION: Jacksonville, NYC, London Preferred or Remote

SALARY: $180,000 to $220,000 base salary plus bonus and equity

The Role: The Director of Data Operations will design and lead Canoe’s data operations function at a uniquely interesting moment: Canoe already has the technology. What we're building now is the human expertise that makes it irreplaceable. The Director of Data Operations will own that build — designing the team, the processes, and the operational logic that turns proprietary AI into an institutional-grade data product. This is a rare kind of role: one where your domain knowledge doesn't compete with automation, it defines it.

What You’ll Do:

Build & Lead the Function

• Build Canoe’s data operations organization across our Canoe Intelligence and Asset Data Operations businesses — define the team structure, hire the talent, and establish the operating model that scales with the business

• Own end-to-end outcomes: data extraction, validation, and delivery — you are accountable for accuracy, completeness, and timeliness at every step

• Recruit, develop, and retain a high-performing team with a mix of operations, data, and private markets expertise

• Optimize the balance between offshore, onshore, and automated processing capacity — with a clear view of improving agentic data operations quickly

Drive Operational Excellence

• Define and own the operational metrics that matter: SLA performance, extraction accuracy, completeness rates, exception volumes, and cost per unit — and build the reporting infrastructure that makes them visible

• Design processes built for automation — every workflow you create should assume that AI handles more of it next week than it does today

• Drive measurable improvement in cost, quality, and cycle time quarter over quarter — and hold yourself to the same standard you set for the team

Own the Data Extraction Domain

• Develop and enforce extraction standards across investor reporting, fund-level data, and underlying asset data document types

• Serve as the connective tissue between human expertise and AI — your team’s judgment directly informs how our models learn, and your operational design determines how far automation can reliably reach

• Build and maintain GP-level playbooks and extraction logic that can scale across every client invested in a fund, enabling the Canoe data standard

Partner Cross-Functionally

• Collaborate with Product, Engineering, and Client Experience to align core workflows with platform capabilities and client outcom