Enterprise AI Strategy & Portfolio Leader

Blue Cross and Blue Shield of Kansas Inc.

Chicago, Northern (IL, KY)

Hybrid

USD 130,000 - 189,000

Full time

14 days+
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Benefits offered by this job

Paid time off
11 holidays
Medical/dental/vision insurance
Generous 401(k) matching
Lifestyle spending account
Annual bonus incentive pay

Job summary

Blue Cross Blue Shield Association (BCBSA) seeks an enterprise AI governance and strategy leader to manage an AI portfolio across the organization. You will guide model governance, technology selection, and responsible AI practices while aligning investments with strategic priorities and business outcomes.

Responsibilities include owning the AI portfolio roadmap, partnering with FinOps for cost management, and providing enterprise architecture guidance.

Qualifications

  • Education: BS or equivalent; MS preferred.
  • 10+ years in enterprise tech strategy, governance, portfolio management.
  • 5+ years AI/ML leadership, healthcare or payer experience.
  • Ability to translate complex AI concepts for executive audiences and build consensus.

Responsibilities

  • Own the enterprise AI product/portfolio strategy and capability roadmap.
  • Govern AI model lifecycle, governance, and approval workflows across teams.
  • Partner with FinOps to deliver financial transparency and KPI reporting for AI initiatives.
  • Provide architecture guidance for AI solutions, evaluation of foundation models and tool selection.
  • Lead cross-functional collaboration with business and technology leaders to drive value and governance.

Skills

AI strategy
Portfolio management
Governance
Executive communication
Cross-functional leadership
FinOps awareness

Education

BS or equivalent
MS preferred

Tools

Microsoft Azure AI
Amazon Web Services AI
Google Cloud Vertex AI

Job description

Blue Cross Blue Shield Association (BCBSA) seeks an enterprise AI governance and strategy leader to manage an AI portfolio across the organization. You will guide model governance, technology selection, and responsible AI practices while aligning investments with strategic priorities and business outcomes.

Responsibilities include owning the AI portfolio roadmap, partnering with FinOps for cost management, and providing enterprise architecture guidance.

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