operations
2 hours ago*
Director, Data Operations
📍 Jacksonville, United States·🏢 On-site
Responsibilities
- 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 •
- Build and maintain GP-level playbooks and extraction logic that can scale across every client invested in a fund, enabling the Canoe data standard
- Collaborate with Product, Engineering, and Client
- Proven track record building or transforming operational workflows with measurable SLA outcomes •
Requirements
- 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.
- 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 •
- Experience to align core workflows with platform capabilities and client outcomes •