- Lead and manage AI/Automation development, machine learning, data engineering, and automation delivery teams.
- Set strategic direction, delivery priorities, architecture guardrails, and development standards for AI and automation initiatives.
- Oversee solution planning, resource allocation, delivery execution, and operational readiness for AI and automation products and services.
- Ensure development teams follow approved governance, security, testing, documentation, and release management practices.
- Coach and develop managers, engineers, data scientists, and technical leads to build a high-performing, accountable, and innovative organization.
- Drive collaboration across product, infrastructure, security, analytics, and business teams to accelerate value delivery and adoption.
- Manage vendor and partner relationships supporting AI, data, and automation capabilities.
- Support budget planning, investment prioritization, and workforce planning for governance and delivery functions.
- Develop and lead the enterprise framework for AI/Automation governance, data governance, and responsible automation practices.
- Establish policies, standards, and controls for data quality, metadata, lineage, model governance, risk management, security, privacy, and compliance.
- Define governance processes across the AI and data lifecycle, including intake, approval, development, testing, deployment, monitoring, and retirement.
- Partner with business, legal, compliance, security, privacy, and technology leaders to align governance with organizational risk appetite and strategic priorities.
- Oversee governance for AI/Automation use cases, models, and automation solutions to ensure transparency, accountability, explainability, and auditability where appropriate.
- Lead governance forums, review boards, and decision-making processes for AI, data, and automation initiatives.
- Develop metrics, dashboards, and reporting to measure governance maturity, control effectiveness, adoption, and business value.
- Monitor evolving regulatory, ethical, and industry requirements related to AI, data, and automation and translate them into actionable enterprise policies.
- Performs all other miscellaneous responsibilities and duties as assigned or directed.
#LI-Hybrid
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HMSA
Jul 29, 2026