Senior Manager, Data & Analytics

About this role

ABOUT ABBY CARE: POWERING THE FUTURE OF CARE AT HOME FOR ALL OF AMERICA.

Abby Care is building the leading AI-native platform for family-led care. America is facing a growing care crisis. Millions more people need care at home than ever. Over 50 million family caregivers support loved ones without the tools, training, or recognition they deserve.

We believe families are the largest untapped caregiving workforce in America, and that technology can help them deliver better care while driving stronger outcomes and greater transparency across the healthcare system.

Abby Care combines clinical oversight with an AI-powered platform to train, enable, and support family caregivers in delivering high-quality care at home. Our platform helps health plans and government partners better understand, verify, and improve care in the home. We expand access to care, reduce reliance on higher-cost settings, and help ensure public dollars are spent effectively.

We are proud to partner with leading health plans, providers, and community organizations and are backed by top VCs. We envision a future where family-led care is a core part of the healthcare system. Abby Care is building that future.

Join us in solving one of the most important challenges of our time.

THE OPPORTUNITY

As Abby Care scales its support for family caregivers nationwide, robust data will serve as the engine driving our operations, product development, and clinical outcomes. To champion this vision, we are seeking a Senior Manager, Data & Analytics to act as a strategic player-coach, leading our analytics function and architecting the next evolution of our data foundation. Reporting directly to the Head of Engineering, you will guide a growing analytics team while partnering closely with Product, Engineering, Operations, Finance, and Clinical leadership. Your primary deliverables will center on establishing the company’s core data model and unified metrics framework, upgrading the reliability and accessibility of decision-critical data, and directly translating complex operational data into clear, actionable insights that drive cross-functional strategy.

Thriving in complexity, you are energized by the intricacies of a multifaceted platform spanning caregiver onboarding, care delivery, clinical workflows, and revenue. A rigorous systems-thinker, you are passionate about architecting a trusted, scalable data layer that serves as our single source of truth while bringing the analytical rigor needed to guide decision-making through our next stage of rapid growth. If you are ready to untangle complex operations and build the data playbook that ultimately transforms care at home for vulnerable populations, you will excel in this role.

This role is hybrid, with an expectation of working in person from our San Francisco office four days per week. combines

WHAT YOU’LL WORK ON:

- Data & Analytics Roadmap: Define and execute the strategic roadmap for our data foundation, prioritizing investments that drive measurable business impact.

- Single Source of Truth: Standardize and govern core operating and clinical metrics, maintaining the central dashboards and reporting systems used to run the company.

- Scalable Data Architecture: Partner with Engineering to build a unified, highly reliable data model aligned with our complex operational workflows.

- Strategic Insights: Identify critical bottlenecks and shift the organization from reactive reporting to proactive, root-cause decision-making.

- Cross-Functional Partnership: Collaborate with leadership across Product, Operations, and Clinical teams to translate ambiguous business problems into actionable data strategies.

- AI Enablement: Apply AI tools to accelerate analytics productivity and establish the data layer required for future AI and machine learning capabilities.

- Team Leadership: Recruit, mentor, and establish high standards of technical rigor for a growing, high-performing analytics team.

- Hands-On Execution: Lead by example by actively contributing to complex SQL analysis, data modeling, metric design, and strategic investigations.

WHAT SUCCESS LOOKS LIKE:

- You successfully lead, grow, and mentor an analytics function that thrives during our most critical stage of growth.

- You build and maintain the core data foundation necessary to run a true AI-native healthcare platform.

- You work hand-in-hand with executive leadership, ensuring data sits at the heart of every major decision regarding operations, clinical quality, and product.

- You reimagine our workflows by actively applying cutting-edge AI to how we analyze data and make decisions.

- Your solutions will solve high-stakes problems that translate directly to better, more effective care for families across the country.

WHAT YOU’LL HAVE:

- 8+ years in analytics, data science, or business intelligence, with proven experience managing or mentoring technical data teams.

- Demonstrated ownership of a data roadmap that delivered measurable business outcomes.

- Advanced proficiency in SQL, data modeling, metric design, and complex analytical problem-solving.

- Strong experience operating within modern data environments (e.g., Snowflake, BigQuery, dbt, Looker, Tableau).

- Proven ability to align cross-functional teams, influence senior leadership, and establish clear definitions in complex environments.

- Exceptional ability to balance speed, rigor, and scale while thriving in ambiguous, fast-paced, zero-to-one or early-scaling startups.

- Equally energized by developing people, architecting strategy, and rolling up your sleeves to execute the work.

PREFERRED QUALIFICATIONS:

- Industry Knowledge: Experience in healthcare (payer workflows, clinical quality, regulated environments) or other complex, operations-heavy industries (marketplaces, logistics, fintech).

- Complex Data Systems: Deep familiarity with lifecycle analytics, event-driven systems, and multi-system data env

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