Head of Data

Posted Yesterday
Be an Early Applicant
New York City, NY, USA
Hybrid
215K-255K Annually
Senior level
Fintech • Other • Real Estate • Financial Services
Tomo is a FinTech Startup providing our customers with radically lower cost mortgages
The Role
Lead and own Tomo's data function end-to-end: strategy, roadmap, platform health, hiring and developing a cross-functional data team. Hands-on player-coach building dbt models, writing SQL, designing experiments, driving marketing measurement, partnering with Product and Engineering, and communicating data-driven recommendations to executives.
Summary Generated by Built In

Who We Are

Tomo is a digital mortgage company on a mission to eliminate the greed and complexity in lending, helping homebuyers save thousands of dollars. Our AI-driven customer experience makes the lending process faster, less frustrating, and more affordable. By passing these savings directly to homebuyers, we eliminate excessive fees and inflated rates that cost Americans billions each year. Backed by top-tier venture investors, including Ribbit, Citi Ventures, NFX and Progressive Insurance, Tomo is poised to become one of the most valuable fintech startups of our generation.

About the role

Tomo is looking for a hands-on data leader to own data end-to-end and build out the function. You'll inherit a mature data platform, a small, high-leverage team. Your mandate will be to build that team out and push the ball forward. This is a player-coach role: you'll be in the work yourself designing experiments, building data models, and partnering directly with the business while standing up the team and processes that let it scale.

You'll be the data face to the leadership team, translating questions from across the business - Marketing, Finance, Sales, Capital Markets, Mortgage Ops, Compliance, Product and Engineering - into measurement and models that move decisions.

What you'll do
  • Own the data function end-to-end — strategy, roadmap, prioritization across a broad stakeholder surface, and the health of the platform.

  • Build and develop the team — hire across data science, analytics/business intelligence, and data engineering, and grow the people already here.

  • Drive marketing measurement and experimentation — quantify the effectiveness of marketing spend and build attribution models.

  • Lead by building — write SQL, build dbt models, and work in notebooks alongside the team; set the technical bar by doing the work, not just reviewing it.

  • Keep the platform healthy — ensure pipelines and infrastructure are reliable, performant, and cost-efficient as the business scales.

  • Partner with Product and Engineering — shape how data is instrumented and captured so it's analyzable downstream, and help QA data at the source.

  • Be a trusted partner to leadership — own the data narrative with the exec team and make the call on what the team does and doesn't take on.

What we're looking for

Must-haves

  • AI Fluent, including democratization and enablement of the whole Tomo team.

  • Strong data science and experimentation foundation: statistics and experimental design. You can independently design and analyze an experiment and defend the result.

  • Proficient in SQL and the modern data stack.

  • Range over depth: you've worn multiple hats and can operate credibly across data science, analytics/BI, and data engineering.

  • Strong business and stakeholder fluency — you translate ambiguous business questions into data work and communicate results to non-technical leaders.

  • A zero-to-one track record — you've been an early data hire, built a team or analytics function from scratch, or are a senior IC ready to step into your first leadership seat and own the build.

Nice-to-haves

  • Mortgage, fintech, or proptech experience.

  • Familiarity with our stack: Snowflake, dbt, Databricks, Fivetran.

  • Hands-on marketing analytics / paid-media measurement.

Why this role

You'll own data at a company where it directly drives how marketing dollars are spent and how customers are served — with a clear mandate, executive sponsorship, and the freedom to build the team and the strategy from the ground up.

Employee Benefits

We strive to anticipate your needs in order for you to be a healthy, motivated, and happy team member. We provide a variety of competitive benefits including (but not limited to):

  • Equity Ownership: All teammates receive stock options—we win together

  • Comprehensive Medical, Dental, and Vision plans for you and your dependents with some plans 100% covered

  • Work-life balance and a generous paid time off policy

  • In order to support teammates who become parents, Tomo Mortgage provides paid parental leave

  • 401(k) retirement plan

Skills Required

  • AI fluency, including democratization and enablement across the organization
  • Strong data science and experimentation foundation (statistics and experimental design)
  • Proficient in SQL and modern data stack
  • Experience across data science, analytics/BI, and data engineering (ability to operate credibly across domains)
  • Strong business and stakeholder fluency; translate ambiguous business questions into data work
  • Zero-to-one track record: early data hire, built analytics function, or senior IC ready to lead build
  • Hands-on experience writing SQL, building dbt models, and working in notebooks
  • Mortgage, fintech, or proptech experience
  • Familiarity with Snowflake, dbt, Databricks, Fivetran
  • Hands-on marketing analytics / paid-media measurement experience
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The Company
HQ: New York, New York
170 Employees
Year Founded: 2020

What We Do

Buying a home is more costly than ever, yet big lenders continue to get away with inflated rates and ridiculous fees. Tomo Mortgage is putting a stop to it. We’re a mortgage company that uses AI to automate the most annoying and frustrating parts of the home buying process. It’s why we’re a lot faster, less frustrating, and way less expensive.

Why Work With Us

At Tomo Mortgage, we believe the joy and promise of a new home should never be overshadowed by the hassle of buying one. That’s why we’re digitizing and automating much of the mortgage process to make it faster, easier, less expensive, and—dare we say—more joyful while delivering a higher level of personalized service to home buyers.

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