Data Operations Manager

Canoe Intelligence•Jacksonville, FL

11h•$145,000 - $165,000•Remote

About The Position

Canoe is expanding its asset data capability — cost basis, valuations, operating metrics, portfolio company financials — and we need a senior practitioner who can simultaneously own the team’s daily execution and define the logic that drives our extraction models forward. Most private markets data roles ask you to either manage the work or do the work. This one expects excellence at both. The Data Operations Manager, Asset Data is the senior practitioner who sets the quality standard by example, builds the extraction logic that drives our AI forward, and develops the team that executes it every day.

Requirements

Deep, hands-on experience in private markets asset data — within an LP, fund of funds, family office, fund administrator, or data service provider with direct exposure to underlying asset-level reporting (we’re open on years; depth of exposure matters more than time in seat)
Fluency across multiple asset classes: PE/VC, real assets, private credit, infrastructure — you understand how reporting conventions differ and why
You have spent your career in this data — you know the “why” behind every valuation adjustment and the relationship between portfolio company financials and fund-level reporting
Experience leading or mentoring a team — you know how to develop people and hold a high bar simultaneously
A builder’s mindset: you are energized by taking a messy, manual industry problem and solving it with systemic logic
Technical instincts without needing to write code — you understand data structures, can define strict extraction rules, and communicate precisely with engineers
Uncompromising standards — you know what audit-ready looks like and you refuse to compromise on precision
Startup energy — you are comfortable with ambiguity, motivated by ownership, and excited to define the function rather than inherit it

Responsibilities

Own the day-to-day execution of the asset data team and hold the quality bar at every level
Develop analysts through hands-on coaching, markup reviews, and direct feedback on domain knowledge gaps
Set standards and enforce them — you are accountable for every data point your team produces
Build and maintain GP-level and asset-class-specific playbooks that enable consistent, scalable processing across the team
Design comprehensive extraction rules for complex asset-level documents: portfolio company financials, operating metric reports, valuation statements, MOIC/IRR calculations, and multi-asset-class structures
Codify financial concepts — valuation methodology nuances, cost basis adjustments, operating KPI definitions — into systematic rules that Product and Engineering can implement
Research emerging reporting formats and asset class variations proactively; define the schema before edge cases hit production
Serve as the final escalation point for asset data integrity — when automated logic encounters a novel structure, you resolve it and document the rule
Personally analyze and annotate complex proprietary documents to establish ground truth for Canoe’s extraction models — your markup is the gold standard
Provide direct input into AI model training by identifying extraction errors, edge cases, and patterns that require human expertise to resolve
Work closely with engineers to improve model accuracy iteratively, communicating in the precise language of data structure and extraction logic
Work side-by-side with Product and Engineering — you bring the business logic, they bring the code, and together you raise the capability of the platform
Participate in client-facing conversations as Canoe’s authority on asset data — you can explain the complexity and the solution in the same breath
Translate field-level observations into product feedback that drives roadmap prioritization