Senior Director of AI Transformation

About Blue Cross And Blue Shield Of Minnesota

At Blue Cross and Blue Shield of Minnesota, we are committed to paving the way for everyone to achieve their healthiest life. We are looking for dedicated and motivated individuals who share our vision of transforming healthcare. As a Blue Cross associate, you are joining a culture that is built on values of succeeding together, finding a better way, and doing the right thing.

If you are ready to make a difference, join us.

The Senior Director of AI Transformation serves as BCBSMN’s accountable leader for defining, building, and scaling AI products that deliver measurable business and member value. In partnership with Technology, you will own the vision, roadmap, and lifecycle of AI capabilities — ensuring they are usable, trusted, compliant, and continuously improved. The leader balances strategic clarity with hands‑on product execution, translating enterprise priorities into AI products that solve real problems and drive outcomes across cost, growth, experience, and innovation.

This role connects business needs to technical delivery, overseeing an AI product portfolio, operationalizing Responsible AI practices, and orchestrating cross‑functional teams to bring AI products from concept to scaled adoption.

• Lead enterprise AI strategy and portfolio execution — set the roadmap, prioritize high‑value initiatives, manage intake and governance, and track outcomes, ROI, and adoption.
• Operationalize Responsible AI and scalable delivery — establish risk, readiness, vendor, and platform governance in partnership with Technology, Data, Legal, Compliance, and business leaders.
• Drive enterprise adoption and change — stand up the AI COE, build AI fluency, coach leaders, activate cross‑functional teams, and ensure AI solutions move from concept to scaled business impact.

• Set enterprise AI strategy and multi‑year roadmap; prioritize initiatives.
• Manage AI as an enterprise portfolio; establish intake, prioritization, and stage gates; ensure outcome and benefit tracking and post‑deployment monitoring.
• Partner cross‑functionally to integrate AI into business plans; drive accountability for adoption and results; coach leaders.
• Stand up and lead the AI COE; define charter and reusable assets; attract and develop multidisciplinary talent; communicate progress and tradeoffs to ELT and Board.
• Operationalize Responsible AI; establish AI risk and readiness governance; embed review into delivery workflows; standardize vendor controls.
• Partner with Technology, Data, and cloud providers to ensure data readiness and scalable AI platforms; govern strategic partnerships and vendor requirements.
• Lead AI adoption and change management; execute AI fluency programs and training; establish champion network; measure adoption and usage.
• Establish portfolio metrics, dashboards, and reporting; report on ROI and adoption; advise senior leadership and the Board.
• Perform additional responsibilities consistent with the scope and level of the role, as assigned.

• 8+ years of progressive data analytics/business intelligence experience with 5+ years of management experience.
• Bachelor’s degree; in lieu of a degree, an additional two years of relevant experience beyond the qualifications listed above may be accepted.

• Masters degree in related field.
• Ability to lead high‑stakes communication across the organization, actively listen to anticipate risk and opportunity, and influence senior leadership through executive‑level messaging.
• Ability to analyze cross‑functional challenges, align leaders on tradeoffs, and drive execution through stakeholder and team leadership.
• Ability to effectively organize work, balance competing cross‑functional priorities, and manage team execution across initiatives while enabling coordination across stakeholders.
• Programming (Python) and SQL proficiency.
• Predictive modeling / statistical analysis in ML workflows.
• Experience with AWS tools / cloud platforms.
• Experience with version control (example: Git).
• Experience with visualization tools (example: PowerBI, Tableau, Looker).
• Experi…