Vice President Machine Learning Jobs in Georgia (NOW HIRING)

At Trella Health, our mission is simple: empowering meaningful change in healthcare.
We are building AI-enabled intelligence and workflows that help healthcare organizations make smarter decisions, strengthen operations, and support healthier outcomes for patients. Our platform connects health systems and post-acute providers through actionable intelligence and connected workflows that improve how care is coordinated across the healthcare continuum.
That work starts with our people. Trellavators are collaborative, curious, and committed to doing meaningful work that makes a measurable impact. We move quickly, support each other, keep our commitments, and continuously look for better ways to serve our customers and one another.
If you are excited by the opportunity to grow your career while helping shape the future of healthcare intelligence, workflows, and outcomes, we would love to meet you.
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. This executive will own the end-to-end data lifecycle-from infrastructure and governance to advanced analytics, machine learning, and generative AI-and translate that foundation into measurable clinical, operational, and financial outcomes.
The ideal candidate is equal parts strategist, technologist, and builder: someone who has scaled modern data platforms, deployed production AI systems, and navigated the unique complexity of healthcare data. You will partner with product, engineering, clinical, and commercial leadership to ensure data and AI are competitive differentiators, not back-office functions.
Location: This is a hybrid role with 1 day a week in our Atlanta or Philadelphia office.
Reports to: Chief Technology Officer
As the VP of Data Strategy at Trella, you will lead:
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).
• 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).
• Evaluate and integrate third-party AI platforms and foundation models while building proprietary capabilities that create durable competitive moats.

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.

This job might be a fit for you if you have:

• 10+ years of progressive experience in data and analytics leadership roles, including 5+ years managing multi-disciplinary teams (data engineering, data science, analytics).
• Healthcare industry experience is required: demonstrated track record working with healthcare data such as claims (Medicare, Medicaid, commercial), EHR/EMR data, clinical coding (ICD-10, CPT, HCC, LOINC, SNOMED), HL7/FHIR, and healthcare interoperability standards.
• Deep expertise in HIPAA, PHI handling, de-identification (Safe Harbor, Expert Determination), and healthcare-specific data security and compliance frameworks.
• Proven experience shipping production AI/ML systems at scale.
• Prior hands-on experience with a modern data stack: cloud data warehouses/lakehouses, SQL, Python, dbt, orchestration tools, and at least one major cloud provider (AWS, Azure, or GCP).
• Strong grounding in MLOps/LLMOps, feature stores, model monitoring, vector databases, and retrieval-augmented generation (RAG) architectures.
• Experience owning data governance programs and navigating audits (HITRUST, SOC 2, or equivalent).
• Exceptional executive communication with the ability to translate complex technical concepts for boards, customers, clinicians, and non-technical stakeholders.
• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related field; advanced degree strongly preferred.

Preferred Qualifications

• Experience in value-based care, population health, risk adjustment, care management, or life sciences/pharma analytics.
• Prior experience at a healthcare SaaS, payer, provider, HealthTech, or digital health organization.
• Familiarity with CMS data (LDS, VRDC, CCW), commercial claims datasets, or real-world evidence (RWE) data.
• Experience building customer-facing analytics or AI products (embedded analytics, AI copilots, agentic workflows).

About Trella Health
Trella Health is the AI-powered intelligence and workflow platform helping health systems and post-acute providers turn fragmented healthcare data into decisive action. We bring together market intelligence, referral workflows, patient discharge automation, and care coordination tools so healthcare organizations can make smarter decisions, strengthen business and clinical operations, and deliver high-quality, cost-efficient care.
Powered by billions of data points across claims, referrals, patient discharge, and clinical data, Trella Health gives customers the intelligence and workflows they need to understand their markets, build stronger referral relationships, coordinate patient care transitions, and grow with confidence.
Since launching our first product in 2016, Trella Health has continued to grow our team, our platform, and our impact across healthcare. Today, we support more than 17,000 customers, including leading post-acute providers and health systems, and more than 63,000 users across the care continuum.
Trella Health is headquartered in Atlanta, with a growing presence in Philadelphia and team members located across the country.
Join Us
At Trella Health, you will have the opportunity to do meaningful work with people who are focused on outcomes, committed to continuous improvement, and supportive of one another. We believe great work happens when team members feel trusted, connected, and empowered to grow.
Our culture is built on transparency, accountability, partnership, and the belief that better healthcare starts with better decisions. Trellavators work hard, move fast, celebrate wins, and have fun along the way.
We offer competitive compensation and a comprehensive benefits package designed to support team members inside and outside of work, including:

• Health, dental, vision, and voluntary benefits
• Competitive salary, incentive compensation, and equity shares
• 401(k) retirement savings
• Flexible PTO and 10 paid holidays
• Flexible work hours
• Paid leave programs
• Marketplace for discounted retail and entertainment

At Trella Health, you can grow your career while helping build technology that strengthens healthcare operations, improves care coordination, and supports healthier outcomes for patients.
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.