Head of Data

About Seen Health At Seen Health, we are revolutionizing the way senior care is delivered through the PACE (Programs of All-Inclusive Care for the Elderly) model. Backed by top VCs, Seen Health is a culturally-focused, technology-enabled healthcare organization that integrates comprehensive medical care and social support with a high-touch, interdisciplinary approach. Our mission is to empower seniors to age-in-place with dignity and provide their families peace of mind.

We are building upon a proven Home and community based services model to create a culturally-competent and scalable PACE program. We are also building a comprehensive operating system focused on data and workflows that span across systems, processes, people, and care contexts. We want to empower our clinicians and staff with tools that deliver relevant data at the time and site of care and enable them to deliver exceptional care to our participants, which improve clinical outcomes, participant & provider satisfaction, and ultimately our strength as an organization.

We are a mission-driven, multidisciplinary team with deep healthcare, technology, and operations expertise, each inspired by our own personal stories of caring for seniors in our lives. Our name, Seen Health, was chosen to reflect our commitment to provide the highest standard of care to underserved older adults while respecting and incorporating their individual beliefs, heritage, and values, so that they can truly be seen . Why this role We are the payer, provider, and tech team, so we sit on something almost no healthcare company has: clinical, claims, financial, and operational data across the entire system, in one place, from day one.

You will own that entire data stack as a founding member of the team. You are responsible for building and evolving the data engine at the core of our operations. You get to build the data platform, the intelligence layers on top, and the culture of data-driven decision making in one of the most complex and effective models of healthcare.

What you'll own AI-native data engineering: architect the whole data stack — ingestion, orchestration, warehouse, transformation, and analytics — and direct a fleet of AI agents to build and maintain it.