Director, Data Operations
Canoe Intelligence
full-time
Posted on:
Location Type: Hybrid
Location: Jacksonville • New York • United States
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Salary
💰 $180,000 - $220,000 per year
Job Level
About the role
- 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
- 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
- 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
- Collaborate with Product, Engineering, and Client Experience to align core workflows with platform capabilities and client outcomes
- Partner with Client Operations as the operational authority — you will be in the room with clients when the conversation is about data quality, processing, and delivery
Requirements
- 10+ years of experience in data operations, investment operations, fund administration, private markets services, or adjacent fintech
- Demonstrated success leading and scaling operational teams, with both people management and automation components
- Deep command of private markets document types — capital calls, distributions, SOIs, financial statements, valuations, account statements, and more
- Proven track record building or transforming operational workflows with measurable SLA outcomes
- Experience designing processes that evolve from manual to automated execution — you think in systems, not just procedures
- Familiarity with data validation, reconciliation logic, schema design, and downstream reporting requirements
- Exceptional clarity in communication and cross-team alignment — you can translate operational complexity into language that lands with product, engineering, and the C-suite
- Bias toward action and simplicity — you make the call, own the outcome, and don’t hide behind process
- Startup mindset — you thrive where the playbook doesn’t exist yet and you’re the one writing it.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data operationsdata extractiondata validationautomationoperational metricsSLA performancereconciliation logicschema designworkflow designprivate markets document types
Soft Skills
people managementcommunicationcross-team alignmentbias toward actionclarity in communicationproblem-solvingteam developmentoperational designadaptabilityleadership