---
title: 'Data Governance Lead at dv01'
canonical: 'https://feeny.ai/job/data-governance-lead-dv01-new-york-5xb4e2p0tcxq'
type: 'job'
last_seen: '2026-10-19'
---

# Data Governance Lead at dv01

- **Company:** dv01
- **Location:** New York, NY
- **Work type:** remote
- **Posted:** 2026-09-01
- **Last confirmed live:** 2026-10-19
- **Apply:** https://job-boards.greenhouse.io/dv01/jobs/8769869002

## Job description

dv01 is lifting the curtain on the largest financial market in the world: structured finance. The $16+ trillion market is the backbone of everyday activities that empower financial freedom, from consolidating credit card debt and refinancing student loans, to buying a home and starting a small business.

dv01’s data analytics platform brings unparalleled transparency into investment performance and risk for lenders and Wall Street investors in structured products. As a data-first company, we wrangle critical loan data and build modern analytical tools that enable strategic decision-making for responsible lending.  In a nutshell, we're helping prevent a repeat of the 2008 global financial crisis by offering the data and tools required to make smarter, data-driven decisions resulting in a safer world for all of us.

More than 400 of the largest financial institutions use dv01 for our coverage of over 75 million loans spanning mortgages, personal loans, auto, buy-now-pay-later programs, small business, and student loans. dv01 continues to expand coverage of new markets, adding loans monthly, and developing new technologies for the structured products universe.

The Problem and Opportunity

Our governance practices exist today, but they grew up alongside the product and are largely home-grown: definitions live in people's heads, ownership is informal, and data quality gets managed reactively, one escalation at a time. The Data Governance Lead will replace that with something deliberate. The priorities are named ownership and stewardship across our data domains, a correct and maintained data dictionary, a data quality framework with real metrics behind it, and disciplined compliance with the terms under which we receive client and third-party data. Cataloging, lineage, classification, and access controls follow from there.

We are building AI-powered products on top of that data, and that is what makes this role urgent. An AI product is only as trustworthy as the definitions, ownership, and quality controls underneath it. A model cannot reason correctly about a field nobody has defined, from a source nobody owns, at a quality level nobody measures. Governance is the constraint on how confidently and how quickly we can scale our AI and data products, and this role exists to remove it.

This is a builder's role and a relentless one. The pipeline build sits with Data Engineering and dataset definition with our Data Product Manager; you will work with them, with our teams of Data Analysts, and with Data Operations, Product, Commercial, and Legal to define what good looks like, get it instrumented, and hold the organization to it. It starts as an individual contributor role, with a team to be built as the function earns it.

You will:

- Scale What We Have Already Built for AI: Our data already powers AI products in production. The hard problem is doing that across every dataset, every client, and every new product without ever having to guess whether an answer is right. Our Data Product Manager defines what the data is; you make sure it is owned, classified, measured, and trusted at the scale AI demands. Nobody in this market has solved this yet, and we intend to be the ones who do.
- Own the Data Quality Framework and Its Metrics: Define what quality means across our loan-level and deal-level data, set the thresholds, and partner with our Data Product Manager, Data Engineering, and Data Analysts to get monitoring instrumented. Then report on it relentlessly and drive a sustained, measurable drop in failures.
- Establish Ownership and Stewardship: Put named owners and stewards on every data domain, document their decisions, and make sure those decisions stay current instead of going stale the week after they are made.
- Own the Data Dictionary and Business Definitions: Make our definitions correct, complete, and consistent everywhere they appear, from the warehouse to the product to what clients see. Chase down the ambiguities nobody else has time to chase.
- Own Data Rights in Practice: Know exactly what we are permitted to do with every dataset we receive from clients and third parties, and make those terms enforceable in the platform rather than buried in a contract nobody reads.
- Run It Like a Program: Track commitments, escalate what is stuck, and close things out. You will not have a team at the start, so persistence, credibility, and clear direction do the work.

You are:

- Accomplished as a data governance professional, bringing 7+ years of expertise in data governance, data quality, or data management.
- Proven at building programs from the ground up. What exists here today is home-grown at best, so we need someone who has stood a program up from nothing, not someone who has only administered one that was already running.
- Meticulous and exceptionally organized. You are the person who notices a definition is wrong, tracks down who owns it, and does not let it go until it is fixed.
- Fluent in technical conversations without needing to be an engineer. Able to review SQL, interpret data models, and partner effectively with engineering teams to guide the right technical architecture.
- Experienced in hands-on governance and data quality using purpose-built tooling rather than spreadsheets and home-grown trackers. We use BigQuery, dbt, and Unity Catalog today; experience with platforms like Collibra or Alation counts equally. What matters is that you have operated a real stack.
- Strategic about the intersection of AI and data governance. You have a proven track record of designing governance frameworks (covering quality, lineage, metadata, and compliance) that ensure AI models scale on trustworthy data.
- Knowledgeable across core governance domains (ownership, stewardship, quality, lineage, metadata, classification, access, master/reference data) and key regulatory frameworks (GDPR, CCPA, EU AI Act / ISO 42001).

Nice to haves:

- Experience managing data intended for external customer consumption
- Experience at a startup or startup-like environment
- Experience with structured finance and lending data
- Experience building scalable web applications using TypeScript,  and deal studio

In good faith, our salary range for this role is $190,000 - $220,000, but are not tied to it. The final offer amount will be at the company’s sole discretion and determined by multiple factors, including years and depth of experience, expertise, and other business considerations. Our community is fueled by diverse people who welcome differing points of view and the opportunity to learn from each other. Our team is passionate about building a product people love and a culture where everyone can innovate and thrive.

## BENEFITS & PERKS:

- Hybrid Work Environment: 3 days a week in office required based on your line of business and location
- A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity
- Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals
- Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing
- Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively
- Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe
- Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community

dv01 is an equal opportunity employer and all qualified applicants and employees will receive consideration for employment opportunities without regard to race, color, religion, creed, sex, sexual orientation, gender identity or expression, age, national origin or ancestry, citizenship, veteran status, membership in the uniformed services, disability, genetic information or any other basis protected by applicable law.

## About dv01

## Company Overview
- **One-liner**: dv01 is a data intelligence platform providing integrated loan-level consumer credit data and analytics to drive transparency in structured finance markets.
- **Entity Type**: Private (acquired by Fitch Solutions, a division of Fitch Group)
- **Headquarters**: New York, New York, United States
- **Founded**: 2015
- **Founders**: Perry Rahbar

## Core Business
- **Primary industry/industries**: Financial Technology (Fintech), Data & Analytics, Structured Finance
- **Target customers**: B2B — Investment Banks, Banks, Issuers, Originators, Hedge Funds, Asset Managers, Insurance Companies, Credit Unions
- **Mission statement**: Unlocking the value of data by building the most comprehensive structured products data library and analytical tools to transform workflows, bringing unparalleled transparency and intelligence to the structured products market.

## Products & Services
- **Data Management**: Comprehensive loan data ingestion, validation, and standardization across asset classes (auto, mortgage, student loan, solar, point-of-sale, small business, credit card, consumer unsecured).
- **Deal Reporting & Portfolio Management**: Automated performance reporting for securitizations, credit facilities, master trusts, and whole loan portfolios.
- **Cashflow Engine**: Loan-level and deal-level cashflow analysis with custom scenarios, prepayment assumptions, and stress testing.
- **Deal Structuring**: Tool for modeling, tranche structuring, and waterfall analysis.
- **Market Data & Benchmarks**: Industry-leading insights with benchmark datasets, issuer performance data, housing affordability, ESG metrics, and more.
- **Tape Cracker**: Data wrangling tool powered by machine learning for assessing and standardizing loans for purchase.
- **Strat Tables & Visualization**: Customizable stratification tables, pivot tables, and cohort groupings for granular analysis.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (acquired by Fitch Group in September 2022 for an undisclosed amount)
- **Key Metric**: Annual Revenue of approximately **$13 million**; **$39.5 million** in total funding prior to acquisition
- **Notable Investors/Partners**: OCA Ventures, Pivot Investment Partners (led Series B rounds); Parent company: **Fitch Solutions** (part of Fitch Group)
- **Growth Signals**: Acquired Pragmic in 2021; acquired by Fitch Group in 2022 as a subsidiary of FitchSolutions; platform processes data on over **370 million loans** and **$8 trillion** in original balance; serves **600+ leading issuers and investors**.

## Competitive Advantages
- **Market Position**: One of the most comprehensive loan-level data libraries across lending markets, covering 10+ asset classes.
- **Data Standardization**: Rigorous validation and standardization processes ensure accuracy and consistency across datasets.
- **Integration with Fitch**: Backed by Fitch Group’s global reach and credit expertise, providing credibility and access to institutional clients.
- **End-to-End Platform**: Single platform for data ingestion, structuring, reporting, analytics, and cashflow modeling — reducing silos.
- **Mission-Driven**: Explicitly focused on preventing a repeat of the 2008 financial crisis by promoting transparency and data reliability.

## Strategic Focus
- **Expanding Data Coverage**: Continuously adding new asset classes (solar, point-of-sale, BNPL, etc.).
- **Deepening Analytics**: Building embedded analytics and AI/ML tools (e.g., Tape Cracker, ESG data enrichment).
- **Private Credit Growth**: Tailoring solutions for the rapidly expanding asset-backed private credit market.
- **Integration with Fitch**: Leveraging Fitch Solutions’ distribution and research capabilities to scale.
- **Remote-First Operations**: Committed to a 100% remote-first work model with optional office space in New York.

## Why Work Here
- **Remote-First Culture**: dv01 is a 100% remote-first company, offering flexibility to work from home, the office (New York), or a hybrid model.
- **Mission-Driven Work**: Directly contributing to market transparency and preventing another financial crisis.
- **Perks & Benefits**: Nearly 100% paid health insurance, unlimited PTO, health and wellness stipend, learning and development allowance, 401(k) plan via Guideline, above-market salary.
- **Career Growth**: Entrepreneur panel discussions, lunch & learns, prototype days, and a learning and development allowance.
- **Culture**: Described as fostering a safe environment where employees are “challenged, encouraged, and rewarded.” Peer recognition program, virtual coffees/hangouts, and annual company offsite.
- **Engineering Focus**: Active hiring for roles in MLOps, Data Analytics Engineering, Backend Engineering, Quantitative Engineering, and Reverse Engineering — indicating a strong engineering-driven culture.

## Sources
1. [dv01 Official Website](https://www.dv01.co/)
2. [dv01 About Us](https://www.dv01.co/company/about-us/)
3. [dv01 Careers Page](https://www.dv01.co/company/careers/)
4. [dv01 Greenhouse Job Board](http://job-boards.greenhouse.io/dv01)
5. [dv01 LinkedIn](https://www.linkedin.com/company/dv01-investortech-for-lending-market-transparency)

## Other roles at dv01

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- [Strategic Account Manager](https://feeny.ai/job/strategic-account-manager-dv01-new-york-f8qx8afbby0a) — New York, NY
- [Sr. Reverse Engineer](https://feeny.ai/job/sr-reverse-engineer-dv01-new-york-7m4rae713kmj) — New York, NY
- [Sr. Backend Engineer](https://feeny.ai/job/sr-backend-engineer-dv01-new-york-mxyvvmenb0cp) — New York, NY