Taking 1–2 engagements

Rob Abramowitz — Fractional Head of Data Science Your data team is talented.
Your biggest decisions still happen on gut.

Rob Abramowitz serves as your fractional Head of Data Science — bringing the causal rigor, GenAI architecture, and team leadership that turns a capable data org into one that actually drives decisions.

Rob Abramowitz ex-Meta Coalition 14-person DS org
Book a diagnostic call See how it works
The pattern

The wall every Series B company hits.

The data team is talented. The tooling is solid. The backlog is real. But decisions still happen on gut. Experiments get proposed in Q1 and don't run by Q4.

This isn't a headcount problem. It's a leadership problem. You need someone who's built this org before — who knows how to turn a capable data team into one that actually moves the business.

"The missing piece isn't more data scientists. It's a leader who knows what to do with them."
01
Experiments proposed in Q1, not run by Q4. Nobody's making the prioritization calls or clearing the path through engineering.
02
A model backlog that never ships. Stakeholders lose confidence in data as a function.
03
Board presentations where the numbers don't hold up. Someone asks one causal question and the deck falls apart.
04
You can't yet justify a $350K full-time Head of Data. But you need the results that person would deliver.
How we work

Three ways to engage.

Pricing is presented in proposals, not on websites. It invites conversation, not comparison shopping.

Signal

Month-to-month

Detect the pattern in the noise. A strategic thought partner when you need direction more than bandwidth.

  • 2 strategy calls per month
  • Async Slack access
  • Data strategy review
  • Hiring calibration
Let's talk
Most common fit

Focus

3-month minimum

The lens is dialed in. Weekly cadence, real org involvement. OKRs get set, experiments get run, execs get numbers they can use.

  • Weekly leadership call
  • Monthly exec meeting
  • Team OKR design
  • Executive reporting framework
Let's talk

Clarity

3-month minimum

The full parietal eye — open. Two days a week, fully embedded. Full org ownership, board-ready metrics, and every decision that flows through data.

  • 2 days/week embedded
  • Full data org ownership
  • Board-ready metrics
  • Hiring leadership
Let's talk
Every engagement starts with a 2-week diagnostic sprint.
Flat fee. Paid upfront. Baked into the contract.

Interview the data team, audit the stack, present findings to leadership. The sprint fee is fixed, collected before work begins, and credited toward the engagement.

What you're actually buying

Three things that separate this from general consulting.

01

The ability to say "this actually worked" to your board.

Causal inference isn't an academic exercise here. It's the difference between data that gets cited in board decks and data that gets questioned the moment someone asks one hard question.

02

AI investments that compound rather than need rebuilding.

GenAI architecture at the right level of abstraction. Knows the difference between an LLM wrapper and an actual platform, and which one your company needs right now.

03

A data org that runs without being managed up.

Led a 14-person data science organization — not advised one from the outside. The org-building is where the long-term value compounds.

Areas of depth

The full stack of what comes with the engagement.

Not a generalist. Not a team. One senior operator across every layer of the data function.

Causal Inference & Experimentation

Experiment design, A/B testing infrastructure, incrementality testing, and the statistical rigour to defend results.

GenAI Platform Architecture

LLM selection, RAG pipelines, evaluation frameworks, and production deployment for compounding value.

KPI Strategy & Executive Reporting

Define the metrics that matter, build the cadence, and eliminate the dashboards nobody reads.

Predictive Analytics & Forecasting

Demand forecasting, churn prediction, risk modeling, and revenue attribution grounded in statistical validity.

Data Platform & Infrastructure

Warehouse architecture, data modeling, pipeline design, and source-of-truth governance.

Customer & Growth Analytics

Segmentation, cohort analysis, LTV modeling, and frameworks that turn event data into decisions.

Operational Analytics

Process efficiency, unit economics, and operational metrics. Particularly deep in risk and insurance contexts.

Data Org Design & Hiring

Role scoping, team structure, interview design, and hiring frameworks that build an org that actually scales.

Background

Built at the places that demand precision.

Before Trutara, Rob Abramowitz built and led data science organizations at two of the most analytically demanding companies in the world.

At Meta, he led experimentation and causal inference work on core product teams — designing the decision frameworks that product leadership relied on at scale. At Coalition, he leads the data science function across the company's core insurance business lines, managing a 14-person organization end-to-end.

Trutara exists to make that experience available to the companies where it creates the most leverage: Series B and C companies with capable data teams that need a fractional data science leader — not more headcount. Think of it as a fractional CDO without the politics of a C-suite hire.

"I take on one to two engagements at a time. I want to make sure I can actually move the needle."

— Rob Abramowitz, Trutara
14+
Person data science org built and led
1–2
Engagements at a time. Scarcity is real.
90d
Outcomes defined in proposals, not activities
B/C
Series stage sweet spot
Meta
Experimentation · Causal Inference · Product Analytics at scale
Coalition
Data Science Leadership · Core business lines · 14-person org
Common questions

What buyers ask before engaging.

What is a fractional Head of Data Science?

A fractional Head of Data Science is a senior data leader who works with your company on a part-time, embedded basis — typically one to two days per week. You get the strategic leadership, team management, and technical depth of a $350K full-time hire without the overhead of a full-time executive.

How is this different from hiring a full-time Head of Data?

A full-time Head of Data requires a $280K–$350K total comp package, months to recruit, and carries the risk of a mis-hire at the leadership level. A fractional engagement gives you the same caliber of leadership on a 3-month commitment with a defined scope. Most companies use it to define what the full-time role should actually look like.

What stage companies benefit most from a fractional data science leader?

The sweet spot is Series B and C companies with 50–300 employees that already have 2+ data scientists on staff but no dedicated data leader. This is the stage where decisions start being too consequential for gut instinct, experiments need to run, and the board starts asking for metrics that hold up to scrutiny.

What does the diagnostic sprint cover?

The 2-week diagnostic sprint is a flat-fee, upfront engagement: interviews with every member of the data team, a full audit of the data stack and infrastructure, and a findings presentation to leadership with a 90-day roadmap. If the sprint reveals there's no fit, the fee is yours — no obligation to proceed.

Can you work alongside my current team as a fractional CDO?

Yes. Whether you think of this role as a fractional CDO, fractional Head of Data, or fractional VP of Data Science — the function is the same: bringing senior data leadership to the org without adding a full-time C-suite position. Many CTOs use this to build the data function until they're ready to hire permanently.

Let's find out if there's a fit

A 25-minute call. No deck. No pitch.

A direct conversation about where your data org is, what's in the way, and whether there's a fit.

Book a diagnostic call

Capacity is limited to 1–2 engagements at a time.