AI Strategy and Portfolio Principal

Blue Cross Blue Shield Association (BCBSA)

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Chicago, IL
Salary
$130,300–$188,950 / yr
Employment
Full-time
Posted
55 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $210k
This role $160k
$115k $275k
below market most similar roles pay here above market

This role pays less than 87% of similar roles. Most pay $170,000–$249,821 — the blue band above. At the midpoint, this role pays about $160k versus about $210k for comparable roles.

Based on 240 similar postings.

Employer

About Blue Cross Blue Shield Association (BCBSA)

The Blue Cross Blue Shield Association is a federation of 33 independent health insurance companies providing health coverage to millions of Americans through locally operated member plans. Industry: Health Insurance

Blue Cross Blue Shield Association (BCBSA) currently has 9 open roles on FindRole.

Listed pay typically runs $143,300–$207,800 across 9 roles with salary data.

Most-posted roles

View all roles at Blue Cross Blue Shield Association (BCBSA)

At a glance

TL;DR · AI Strategy and Portfolio Principal

The AI Strategy and Portfolio Principal serves as an enterprise subject matter expert responsible for the management, governance, and optimization of artificial intelligence capabilities. This role oversees the enterprise AI product portfolio, developing maturity roadmaps, establishing enablement processes, and managing AI financial transparency through FinOps. Key responsibilities include governing the model lifecycle, defining approval workflows, and providing architectural guidance on technology selection. The position requires expertise in generative AI, large language models, RAG architectures, and prompt engineering. Candidates must utilize skills in financial modeling, risk assessment, and consensus-building to align stakeholders. The work involves managing costs like token and GPU utilization while ensuring responsible AI practices. The role addresses the business problem of maximizing return on investment while managing technology costs and regulatory expectations across the organization.

What you'll do

  • Develop and maintain the enterprise AI portfolio strategy and capability maturity roadmap.
  • Establish AI enablement processes and business case methodologies to prioritize investments and optimize spending.
  • Lead the AI Review Board to ensure compliance with responsible AI policies and governance frameworks.
  • Govern the model lifecycle by providing frameworks for monitoring drift, hallucinations, and production quality.
  • Partner with FinOps to report on AI operating expenses, token utilization, and cost-benefit analyses.
  • Serve as an internal consultant to help teams select foundation models, RAG architectures, and orchestration platforms.
  • Develop and report key performance metrics including cost per transaction and employee productivity gains.
  • Align diverse stakeholders across the enterprise to drive responsible and value-driven AI adoption.

What we're looking for

  • Bachelor's degree or equivalent experience required.
  • Master's degree (preferred).
  • 10+ years of experience in enterprise technology strategy, governance, portfolio management, or related disciplines.
  • 5+ years of AI, analytics, or machine learning leadership experience.
  • Experience managing enterprise technology portfolios and leading cross-functional initiatives.
  • Experience presenting to executive leadership and managing strategic technology investments.
  • Experience in the healthcare or payer industry.
  • Proficiency in Generative AI, LLMs, RAG architectures, and model lifecycle management.
  • Knowledge of Cloud AI platforms, AI FinOps, and Agile portfolio management (preferred).
  • PMP or Microsoft Certified: Azure AI Engineer Associate (preferred).

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