VP, Applied AI for Employee Benefits & Operations

The Hartford

Charlotte (NC)

Hybrid

USD 225.600 - 338.400

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

The Hartford seeks a Vice President, Applied AI – Employee Benefits & Operations to shape the next generation of AI-driven transformation across enrollment, billing, and customer service. You will own Applied AI strategy, governance, and execution, driving measurable improvements in growth, accuracy, and experience.

You will lead a broad portfolio of ML and generative AI solutions, partner with Benefit and Operations leaders, and build organizational capability to scale AI across the enterprise

Qualifikationen

  • 20+ years of applied AI, data science or related quantitative fields.
  • 10+ years leading large, complex organizations and senior leaders.
  • VP-level experience influencing enterprise direction and outcomes.
  • Experience in Employee Benefits, healthcare or complex insurance ops preferred.
  • Bachelor’s degree required; Masters/PhD preferred and may offset experience.

Aufgaben

  • Own Applied AI strategy and outcomes across Employee Benefits and Operations.
  • Define domain-level AI strategy and influence enterprise AI direction.
  • Lead executive decisions balancing quality, risk, cost and value.
  • Transform processes via AI including enrollment, billing, and service.
  • Ensure governance, risk management and responsible AI across portfolios.

Kenntnisse

Applied AI strategy
Data science leadership
Regulatory & governance
Cross-functional leadership
AI in enterprise

Ausbildung

Bachelor's degree
Master's or Ph.D. preferred

Tools

Retrieval-augmented systems
Model risk management
AI governance tooling

Jobbeschreibung

The Hartford seeks a Vice President, Applied AI – Employee Benefits & Operations to shape the next generation of AI-driven transformation across enrollment, billing, and customer service. You will own Applied AI strategy, governance, and execution, driving measurable improvements in growth, accuracy, and experience.

You will lead a broad portfolio of ML and generative AI solutions, partner with Benefit and Operations leaders, and build organizational capability to scale AI across the enterprise

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