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OnMed · 1 day ago

Head of Data and AI

White Plains, NY

Full-time

Hybrid

Director/Executive

$0/yr - $250K/yr

15+ years exp

OnMed is dedicated to improving healthcare access for everyone, everywhere. They are seeking a visionary leader to define and own the company-wide Data and AI roadmaps, aligning stakeholders around measurable outcomes and managing all aspects of data and AI solutions.

Health Care

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

Qualification

Data strategyPredictive AIGenerative AIMachine LearningCloud platformsLeadershipCommunicationProject management

Required

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