Vice President, Data Strategy

Position Overview

We are seeking a visionary Vice President of Data Strategy to lead our enterprise data strategy and accelerate our growth as an AI-first healthcare organization.

Strategy & Vision

• Define and execute a multi-year data and AI roadmap aligned to our enterprise strategy with clear investment cases, KPIs, and ROI milestones.
• Champion an AI-first operating model: embedding machine learning, predictive analytics, and generative AI into products, workflows, and decision-making across the organization.
• Serve as the executive voice of data, educating senior leadership, and customers on emerging AI capabilities and responsible adoption.

AI & Machine Learning

• Build and scale the organization’s AI/ML capabilities, including traditional ML, deep learning, NLP on clinical text, and generative AI / LLM applications (RAG, agentic workflows, fine-tuning).
• Evaluate and integrate third-party AI platforms and foundation models while building proprietary capabilities that create durable competitive moats.
• Establish MLOps and LLMOps practices covering model development, evaluation, deployment, monitoring, and retraining at production scale.
• Participate in an AI governance framework addressing model risk, bias, explainability, clinical safety, and compliance with evolving healthcare AI regulations (HHS, FDA SaMD, HTI-1, state-level AI laws).

Data Platform & Engineering

• Own the data stack: cloud data warehouse/lakehouse (Snowflake, Databricks, BigQuery), ELT (dbt, Fivetran), orchestration (Airflow, Dagster), streaming, and semantic layers.
• Drive data product thinking: treat datasets, features, and models as versioned, documented, discoverable products with named owners and SLAs.
• Ensure the platform supports real-time analytics, self-service BI, embedded analytics for customer-facing products, and feature stores for ML.

Analytics & Insights

• Lead enterprise analytics: product analytics, commercial analytics, clinical outcomes, population health, and financial/operational reporting.
• Deliver executive dashboards and advanced analytics that directly influence strategy, pricing, product roadmap, and care delivery.
• Build a high-performance culture of experimentation, A/B testing, and causal inference.

Governance, Privacy & Compliance

• Own data governance, master data management, data quality, and lineage across clinical, claims, and operational domains.
• Ensure full compliance with HIPAA, and SOC 2, and applicable state privacy laws; partner with Security and Legal on data sharing agreements, BAAs, and de-identification standards.
• Establish policies for Protected Health Information (PHI) use in AI training, prompt engineering, and vendor integrations.

People & Organization

• Build, mentor, and retain a world-class team spanning data engineering, analytics engineering, data science, ML engineering, BI, and data governance.
• Create career frameworks, hiring bars, and a culture that attracts top AI/ML talent in a competitive market.
• Develop cross-functional analytics partnerships with Product, Engineering, Clinical, Finance, Sales, and Marketing.

About Trella Health

Trella Health provides unmatched, actionable market intelligence to post-acute care and value-based care providers of all sizes. Our industry leading analytics paired with CRM and EHR integration workflows positions us as the most advanced sales enablement platform for the post-acute care market. One of only a few companies to be deemed both a Qualified Entity by CMS and an Innovator under its Virtual Research Data Center Program, Trella has elite access to billions of performance metrics and referral data to enable competitive positioning across the market. Its standardized insights, representing 90% of all lives 65+ U.S. population, help customers identify, engage, and manage critical relationships and advance their organizations with certainty.

Equal Opportunity Employer

Trella Health is an equal opportunity employer. All persons will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, handicap, veteran status, genetic information, or any other protected status as recognized by federal, state, or local laws.