Data & Analytics Lead

About Abby Care

Making family care possible. At Abby Care, we are tackling one of the most important and unsolved challenges of our time: family caregiving.

Over 50 million Americans are family caregivers for loved ones without pay, tools, or support. Our mission is clear and ambitious: to train and employ family caregivers so they can get paid for the care they already provide at home.

Abby Care is building a tech-powered, family-first care platform to efficiently deliver care, improve health outcomes, and provide the best-in-class experience nationwide.

We are rapidly expanding our mission and looking for passionate team members to join. Abby Care has partnered with leading insurance plans, healthcare providers, and community organizations. We’re supported by top, mission-driven VCs to empower families throughout the country.

The Role

As Abby Care expands our capacity to support family caregivers at scale, the teams that drive this work are also growing. We’re looking for a Data & Analytics Lead to own and build Abby Care’s data layer and analytics function. In this hybrid role (4 days a week in-person in San Francisco), you will report directly to the VP, Engineering and as part of a cross functional technology team, define the roadmap, drive alignment, and lead a small but mighty analytics team, while continuing to work in a hands-on capacity.

Abby Care operates a complex, operations-heavy platform across care delivery, onboarding, and revenue workflows. In this role, you will own the end-to-end data layer, from data modeling and metrics definition to analytics, insights, and decision support, within a fast-paced, AI-forward culture.

You will define the roadmap, drive cross-functional alignment, and lead a team—while remaining hands-on as a builder. You are highly accountable, you take pride and ownership in your work, and enjoy supporting the success of others. A player-coach, you are equally comfortable mentoring and coaching as you are personally diving into the data. You are an architect, and can envision and operationalize systems and structures that lend to successful scale. If you are excited about the opportunity to have your work directly shape how the company operates, measures success, and scales, we would love to hear from you!

Key Responsibilities:

• Own the company’s data layer end-to-end: define the vision and roadmap across data modeling, metrics, and analytics, and ensure it scales with the business

• Establish the single source of truth: define and standardize core lifecycle metrics (e.g., funnel conversion, time to start of care, operational efficiency) and build dashboards used to run the company

• Build a scalable data foundation: partner with Engineering to develop a unified data model aligned with the System of Record; ensure strong data governance, reliability, and accessibility

• Drive insights and business impact: identify bottlenecks, inform prioritization and strategy, and enable a shift from reactive reporting to proactive, data-driven execution

• Lead cross-functional alignment: partner closely with Product, Ops, Engineering, and Finance to align on definitions, priorities, and decision-making frameworks

• Leverage AI to accelerate analytics and data workflows: stay at the frontier of AI capabilities and apply them to improve data modeling, analysis, insight generation, and team productivity

• Grow and lead a high-performing team: recruit, mentor, and establish strong operating mechanisms for analytics execution and delivery

• Stay hands-on as a builder: contribute directly to data modeling, analysis, and dashboarding, especially in early stages

The Requirements:

• 6+ years of experience in analytics, data science, or related roles, with experience in supporting the work of others

• Experience owning data/analytics roadmap and delivering measurable business impact, ideally building in a 0->1 environment

• Strong hands-on expertise in:

  • SQL and data modeling

  • Modern data stacks (e.g., Snowflake, BigQuery, dbt, Looker or similar)

• Proven ability to work cross-functionally and influence stakeholders

• Experience leading or mentoring others (formal or informal)

• Strong judgment and pragmatism: able to balance speed, rigor, and scalability

Preferred:

• Experience in healthcare, marketplace, or other operations-heavy environments

• Familiarity with lifecycle-based ana