Senior Director, Artificial Intelligence and Automation

Senior Director, Artificial Intelligence and Automation

MN, United States

• Job Identification 114775
• Organization Health Partners/GHI, Health Partners Enterprise
• Posting Date 08/07/2026, 08:17 PM
• Locations 8170 33rd Ave S - Bloomington
• Work Schedule
  • Monday – Friday; core business hours
  • This position is primarily on-site at our Bloomington corporate office, with an expectation of being in the office at least four days per week—typically Monday through Thursday.
  • The role includes occasional travel to regional sites (e.g., St. Paul, St. Louis Park) for training sessions and presentations.
• Hours Per Week/FTE 40 hrs weekly / 1.0 FTE
• Job Shift Day
• Position Type Full-time regular
• Job Category Health Information Management
• Department Inforamtics and Data Ops Mgmt Rollup
• Pay Range $87.38 - $135.44 hourly
• Pay Range Statement Compensation is based on the level and requirements of the role. Pay within our ranges may also be determined by education, experience, knowledge, skills, location, and abilities as well as internal equity. Hired candidates may be eligible to receive additional compensation based on role (e.g., shift differential, bonus, sales incentive, productivity pay, etc.).
• Overtime Eligibility Status Exempt
• Worker Type Employee

Health Partners is hiring a Senior Director, Artificial Intelligence and Automation
. The Senior Director of AI and Automation drives the enterprise-wide strategy, development, and deployment of artificial intelligence (AI) and automation solutions across the organization’s health insurance, care delivery, and research domains. This leader champions integrated technologies that enhance member and patient outcomes, streamline operations, accelerate scientific discovery, and uphold responsible AI governance. Reporting to the Data & Analytics executive, the Senior Director serves as a strategic connector—linking executive leadership, operational and clinical teams, and research stakeholders.

This role bridges system-wide priorities while delivering scalable, ethical, and high-impact AI and automation capabilities.

Required Qualifications:

• Bachelor’s degree in health management, statistics, mathematics, finance, business, and science or other relevant program or equivalent experience.
• Ten (10) years of leadership experience in AI, machine learning (ML), data science, or automation, with demonstrated success in complex organizations.
• Experience deploying conversational or agentic AI solutions;
  Proven record of deploying enterprise-scale AI/automation solutions.
• Knowledge of cloud and data platforms (Azure, Databricks, AWS, GCP) and AI/ML toolkits (Tensor Flow, PyTorch, Hugging Face, etc.).
• Experience with automation platforms (UiPath, Blue Prism, Power Automate).
• Expertise in data governance, privacy, and compliance frameworks across payer, provider, and research domains.
• Exceptional communication and change leadership skills, with the ability to bridge executive, clinician, and researcher perspectives.

Preferred Qualifications:

• Advanced degree in Computer Science, Data Science, Engineering, or related field.
• Prior experience in an integrated healthsystemor highly regulated entity.
• Familiarity and experience working within Microsoft Azure and /or Data Bricks
• Familiarity with Fast Healthcare Interoperability Resources (FHIR) standards, EMR data (Epic), payer datasets, and research data platforms.
• Demonstrated ability to deliver measurable impact on cost, quality, and innovation outcomes.

Hours/

Location:

• Monday – Friday; core business hours
• This position is primarily on-site at our Bloomington corporate office, with an expectation of being in the office at least four days per week—typically Monday through Thursday.
• The role includes occasional travel to regional sites (e.g., St. Paul, St. Louis Park) for training sessions and presentations.

Responsibilities:

Execution & Delivery(25%)

• Oversee the design, development, purchase, and/or deployment of AI models (agentic, predictive, generative, NLP, multimodal) and automation solutions across insurance, clinical, and research workflows.
• Ensure seamless integration of AI/automation into enterprise systems, including EHR (Epic), claims platforms,…