Summary
Join firsthand, a company supporting individuals with serious mental illness (SMI), as VP, Data & Technology. You will architect an AI-native data platform, build a world-class team, and translate complex analytics into actionable narratives. This role requires strong leadership in data engineering and science, including building real-time data pipelines and enhancing cloud infrastructure. You will also be responsible for recruiting, mentoring, and inspiring a multidisciplinary team. This is a high-growth opportunity to make a significant impact on healthcare.
Requirements
- 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
Responsibilities
- 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
Preferred Qualifications
- Masterβs 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
Benefits
- For full-time employees, our compensation package includes base, equity (or a special incentive program for clinical roles) and performance bonus potential
- Our benefits include physical and mental health, dental, vision, 401(k) with a match, 16 weeks parental leave for either parent, 15 days/year vacation in your first year (this increases to 20 days/year in your second year and beyond), and a supportive and inclusive culture
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