Head of Data and AI

OnMed•White Plains, NY

2d•$225,000•Hybrid

About The Position

At OnMed our purpose is simple but powerful...to improve the quality of life and sense of well-being in our communities by bringing access to healthcare to everyone, everywhere. Our path to everywhere has already begun, with our innovative CareStation, a small but mighty, Clinic-in-a-Box, bringing #healthcareaccess anywhere with an outlet to plug it in. Poised to become a key component in America’s public health infrastructure, the OnMed CareStation is the only tech-enabled, human-led, hybrid care solution that combines the comprehensive experience, trust and outcomes of a clinic,  with the rapid scalability of virtual care. At OnMed, every role, every day, is directly impacting the communities we serve. You’ll join a high-performing purpose-driven team, innovating to break down the barriers that keep people from the care they need. This is not just a job...it's a movement to bring access to healthcare where and when people need it most. It’s healthcare that shows up. Who You Are You are a visionary leader in Data and AI strategy-through-execution. You define and own the company-wide Data and AI roadmaps, aligning stakeholders around measurable outcomes. You own all aspects of our data, integration, orchestration, and AI solutions (predictive and generative).

Requirements

Strategy-to-execution across data, analytics, predictive AI, and agentic AI.
Advanced proficiency in predictive AI including Machine Learning (ML), including large language models (LLMs), Agentic AI, and Retrieval-Augmented Generation (RAG).
Proven experience designing and deploying generative AI systems, with strong judgment around model capabilities, limitations, and impact.
Familiarity with cloud platforms (AWS, GCP, Azure) and AI/MLOps best practices.
Ability to translate complex AI concepts into actionable strategies for non-technical stakeholders.
Exceptional leadership and communication skills to influence and align cross-functional teams.
Strategic mindset with a focus on delivery and stakeholder alignment.
Strong planning and project management capabilities to drive AI initiatives to successful completion.
Bachelor’s degree in Computer Science, Data Science, or a related field; Master’s degree is a plus.
15+ years of experience in Data Architecture, AI, ML and/or Data Science roles, including at least 8+ years in leadership positions.
Proven track record of delivering AI/ML solutions at scale.

Nice To Haves

Master’s degree is a plus.

Responsibilities

From a data standpoint, the role owns all aspects of data management, governance, stewardship, and orchestration.
As a part of the data ownership, this role will also own OnMed’s integration capabilities, including the deployment of strategies that drive frictionless, bi-directional, multi-modal, integration with internal and third-party systems.
An extremely strong background in analytics and visualization will be critical since this role entails the strategy-through-execution of our analytics strategy, including the delivery productization of our key insights into the health and resulting socio-economic patterns of underserved populations with health equity deterrents.
This role sets the technical direction for predictive modeling, machine learning, and all aspects of predictive AI at OnMed - strategy-to-execution.
Predictive AI and the ability to truly understand population health and the impact of social determinants in underserved communities is at the core of our enterprise strategy - the leader in this role will have a seat at the table to help drive the same.
From a generative AI standpoint, this role needs to be very comfortable with building and deploying an agentic architecture, in a highly secure manner in partnership with the CISO.
Our opportunities to optimize and amplify our overall organizational execution using agentic AI is tremendous, and this role will need to identify, prioritize, and deploy high-impact AI use cases across product, operations, analytics, and automation.
Partner cross-functionally with engineering, product, and business leaders to design, develop, and integrate capabilities, guiding initiatives from concept through production.
Foster a culture of learning and experimentation, deploying ML and AI in service of measurable impact and customer value.
Set the long-term direction for data science and AI, spanning classical ML, large language models, and agentic systems.
Lead the design, evaluation, deployment and operation of AI systems used in clinical, operational, and analytical contexts.
Build and evolve data foundations and AI infrastructure that meet requirements for quality, security and auditability.
Set the direction of data team to produce impactful insights and dashboards, that drives business growth opportunities and operational improvements.
Recruit, mentor, and lead a cross-functional team of engineers, analysts, and scientists.
Implement data governance, privacy, and practices aligned with SOC2, HIPAA, and GDPR.
Perform other related role’s responsibilities as assigned.