Strategic technology leadership
- Translate complex analytics into clear, actionable narratives for business and clinical stakeholders
- Drive enterprise portfolio of technology investments
- Partner with Value Delivery teams to guide the roadmap for predictive analytics value creation and population-health platform strategy
Data engineering / science leadership and execution
- Own the data model: build near-real-time pipelines merging multi-payer claims, EHR, care-management, and engagement events
- Define and evolve the modern stack: Work on a fast-paced, autonomous, agile team to build and enhance a modern cloud, database, and ELT infrastructure working with diverse healthcare data (Snowflake, dbt, Python, Airflow, Fivetran/Hightouch, and more)
- Contribute as IC (12 mos) and own end-to-end infrastructure releases, platform enhancements: write critical ELT jobs, review every major pipeline, and personally green-light model deployments
- Enforce HIPAA/SOC-2 security and rigorous testing, CI/CD, and observability standards
People and Culture
- Recruit, mentor, and inspire a multidisciplinary team of data engineers, data scientists, and software engineers
- Foster a high-accountability culture centered on mission, quality, and speed
Required Qualifications, Capabilities, and Skills
- 9+ yrs hands-on value-based care (payor or provider) health-care analytics (medical and pharmacy claims, clinical data) plus 5+ yrs progressive leadership of technical teams
- Proven record architecting of enhancing large healthcare data-warehouse environments and analytics platforms
- Strong command of SQL, Python, dbt, Airflow, and modern ELT toolchains; comfortable with version control, unit testing, and CI/CD
- Applied experience with causal-inference methods and ML/AI techniques in population-health settings
- Exceptional communicator; can distill technical insight for non-technical execs and frontline staff
- Team player interested in working at a fast-paced startup environment, with a track record mentoring early-career data engineers, analysts, and data scientists
Preferred Qualifications
- Master’s degree or PhD with a focus on health care analytics, health services/policy research, data science, statistics, or engineering
- Experience working in a high-growth company environment
- Deep expertise in medical & pharmacy claims data, risk adjustment, quality metrics, value-based-contract evaluation, and contract underwriting
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What We Do
firsthand is transforming the way individuals living with Serious Mental Illness (SMI) receive care. We are focused on delivering real outcomes for a cohort that has historically been underserved, stigmatized, and deprioritized. By building a service focused on whole-person care, firsthand aims to find, establish a trusting relationship with, and support quality care for individuals living with complex experiences of SMI. Most importantly, our goal is to be the trusted guide, partner, and first call for individuals we serve, guiding them to a life of stability and independence. In doing so, we will not only improve lives, but also improve the economics for managed care plans and states responsible for providing care to this community. This enables us to build solutions that scale and, as a result, change the way our society supports those most impacted by serious mental illness.
Why Work With Us
Our frontline colleagues bring lived experience with serious mental illness to their work- they’ve walked in the shoes of those we serve. They can build trust in a way many others cannot.
Much of our team has a personal connection to the mental illness space, and we come together from a wide variety of backgrounds to unite in this common mission.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Our Support team (Tech, Operations, G&A) members can work remotely anywhere in the U.S or from our NYC office.























