Senior Director, Data Analytics & AI Engineering
Listed on 2026-07-19
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IT/Tech
IT Project Manager, AI Business & Operations, Data Engineering, Data Science Manager
Senior Director Of Data Analytics & Ai Engineering
We are more than a health system. We are a belief system. We believe wellness and sickness are both part of a lifelong partnership, and that everyone could use an expert guide. We work hard, care deeply and reach further to help people uncover their own power to be healthy. We inspire hope. We learn, grow, and achieve more – in our careers and in our communities.
The Senior Director of Data Analytics & AI Engineering leads a major function within Ohio Health's technology organization, providing direction through subordinate managers across data engineering, data science, and data governance. This role is accountable for strategy, business planning, budgets, staffing, quality, compliance, and delivery outcomes, while partnering with technology, operational, and clinical leaders to modernize platforms, advance AI-enabled capabilities, and ensure data assets support enterprise, operational, and patient care priorities across the system.
This is a hybrid position in Columbus, OH.
Strategy, Planning, and Portfolio Leadership
Lead execution of the data, analytics, and AI engineering strategy, translating Ohio Health priorities and technology direction into operating plans, investment priorities, and measurable outcomes.
Direct long-range planning, architecture, and resource allocation for enterprise data engineering, data science, and governance capabilities to ensure scalable, secure, and high-performing platforms.
Develop annual business plans, operating objectives, and portfolio priorities aligned to long-term functional strategy, enterprise business needs, and measurable performance expectations.
Operating Model, Team Leadership, and Delivery Execution
Lead the function through subordinate managers and senior leaders across data engineering, data science, and data governance, with accountability for team performance, staffing approaches, operating discipline, and coordinated execution across multiple teams.
Sponsor modernization of the data and AI technology landscape and establish operating standards, engineering practices, and support models that strengthen reliability, scalability, and execution consistency.
Ensure data and AI solutions are implemented, supported, monitored, and continuously improved in ways that enable durable adoption, operational performance, and enterprise value realization.
Enterprise Partnership and Solution Delivery
Partner with Technology Delivery, Data & Analytics, Epic, Digital, Security, and operational leaders to align priorities, implementation sequencing, platform readiness, and delivery expectations.
Partner with business, clinical, and operational stakeholders to define desired outcomes, shape solution priorities, and operationalize data and AI capabilities that improve decision-making, workflows, and performance.
Shape executable roadmaps and guide governance and investment decisions in partnership with enterprise strategy, architecture, finance, and operational leadership.
Governance, Data Trust, and Responsible Use
Ensure strong data quality, integrity, reliability, and stewardship practices across engineering efforts in partnership with governance and platform teams.
Partner with cybersecurity, privacy, and compliance leaders to embed security, regulatory, and responsible use requirements into data, analytics, and AI solutions.
Support enterprise governance, prioritization, and decision forums that promote disciplined use of data assets, clear standards, and consistent execution across the portfolio.
Capability Development and Executive Partnership
Strengthen organizational capability by developing leadership depth, technical expertise, and data and analytics literacy across teams and stakeholder groups.
Serve as a trusted partner to senior leaders, providing clear insight into portfolio priorities, delivery progress, risks, and opportunities to support informed enterprise decision-making.
As a High Reliability Organization (HRO), responsibilities require focus on safety, quality, and efficiency in performing job duties. The job profile provides an overview of responsibilities and duties and is…
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