Senior AI Product Manager - Customer Outcomes & Platform

Baylor Scott & White Health

Pierre (SD)

On-site

USD 130,000 - 170,000

Full time

11 days ago

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Benefits offered by this job

Health benefits
401(k) matching
Tuition Reimbursement
PTO accrual beginning Day 1

Job summary

Baylor Scott & White Health is seeking a passionate AI Use Case Product Manager to own the roadmap for priority AI use-case areas. You will translate customer jobs-to-be-done into concrete product requirements, define success metrics, and drive measurable business and patient outcomes across multiple teams.

You will partner with clinical, operational, analytics, and engineering teams to ensure AI capabilities deliver meaningful value while maintaining safety, privacy, and compliance in a

Qualifications

  • Bachelor’s degree in Business, Product Management, Engineering, Computer Science, Data Science, Healthcare Administration, or related field.
  • Master’s degree preferred.

Responsibilities

  • Own the AI use-case roadmap and translate customer jobs-to-be-done into AI-enabled capabilities.
  • Define success metrics and KPIs to measure business impact and customer value.
  • Lead cross-functional collaboration with engineering, architecture, analytics, data, clinical, and operations teams.
  • Balance customer value with safety, compliance, and enterprise priorities when delivering AI capabilities.

Skills

Product management
Roadmap prioritization
Stakeholder collaboration
Analytical thinking
KPIs & measurement

Education

Bachelor’s degree in Business/Engineering/Data Science
Master’s degree preferred

Tools

APIs
Enterprise systems
Analytics platforms

Job description

Baylor Scott & White Health is seeking a passionate AI Use Case Product Manager to own the roadmap for priority AI use-case areas. You will translate customer jobs-to-be-done into concrete product requirements, define success metrics, and drive measurable business and patient outcomes across multiple teams.

You will partner with clinical, operational, analytics, and engineering teams to ensure AI capabilities deliver meaningful value while maintaining safety, privacy, and compliance in a

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