Director of Engineering, Data

Allara is a comprehensive women’s health provider that specialises in expert, longitudinal care that supports women through every life stage. Trusted by thousands of women nationwide, Allara makes expert healthcare accessible by connecting patients with multidisciplinary care teams that have a deep understanding of hormonal, metabolic, and reproductive care. Allara provides ongoing support for hormonal conditions like PCOS, chronic conditions like insulin resistance, and life stages like perimenopause, helping patients see improved health outcomes.

As one of the fastest-growing women’s health platforms in the U.S., Allara is bridging long-overlooked gaps in healthcare for women.

Allara is hiring its first Director of Data to build the backbone of how the company collects, models, governs, and uses data. Reporting to the VP of Engineering, this is a hands‑on leadership role: in your first months you will be in the pipelines yourself, cleaning up our ETL, consolidating duplicated logic, and closing gaps in our source data. Over time you will define and drive the company's longer‑term data strategy, set the standards the rest of the organization builds on, and grow the data function as Allara scales.

This is a player‑coach role, senior enough to own strategy and still happy to get the pipelines right yourself, and the hands‑on work comes first.

Location: Hybrid (NYC). We value in‑person collaboration and aim for at least three days per week in our NYC office, with flexibility as needed.

• Make Allara’s data trustworthy, so every team can make decisions on numbers they believe.

• Turn a fragmented, duplicated data setup into one reliable source of truth with traceable lineage.

• Define the data strategy that lets Allara scale its use of data, from AI‑assisted analysis across departments and leveraging health data to drive better outcomes.

• Build and lead the data engineering function over time.

• Partner with Product, Growth, Finance, Strategy, and Clinical as the owner of the shared data platform and standards.

First 6 to 12 months (hands‑on)

• Clean up the pipelines. Audit our existing ETL across Fivetran and Mozart into Snowflake, stabilise reliability and freshness, and fix the brittle parts the business has learned to work around.

• Consolidate duplication. Collapse duplicated models, metrics, and transformation logic into a single, well‑documented modelling layer, so there is one definition of each number rather than several that disagree.

• Close source‑data gaps. Map what we collect against what the business needs and close the gaps across our systems.

• Make the data trustworthy. Stand up data‑quality testing, monitoring, and alerting.

• Establish one source of truth. Define a canonical metric and semantic layer

Ongoing (strategy and ownership)

• Own the data strategy. Shape how Allara collects, models, governs, and uses data as the company scales, and advises leadership on tooling, investments, and build‑versus‑buy decisions.

• Own governance and compliance. Own data governance, access control, and PHI and PII handling appropriate for a HIPAA‑covered healthcare environment.

• Own the shared platform. Serve departmental stakeholders and data analysts, as the owner of the platform and standards they build on, and enable trustworthy self‑serve analytics.

• Own AI‑ready data. Own the shared, AI‑ready data layer and the canonical terminology definitions and skills that power AI‑assisted analysis across departments.

• Build the team. Hire, mentor, and lead the data engineering function over time, setting the technical bar and the practices the team works by.

• 8+ years in data engineering or analytics engineering, including direct, recent ownership of production ETL…