VP, Enterprise AI Knowledge & Content Strategy

Centene; United States; Hybrid; USD 172,000 - 327,000; Full time

Benefits offered by this job

Competitive pay

Health insurance

401K and stock purchase plans

Tuition reimbursement

Paid time off plus holidays

Remote / hybrid work options

Job summary

Centene is seeking a leader to build and govern the enterprise knowledge foundation powering AI-generated insights. You will oversee capture, curation, structure, and lifecycle management of business knowledge, ensuring accuracy and alignment with trusted sources.

You will drive strategy, data governance, and metadata, partner with data engineers and analytics, and lead a team of data governance professionals to enable AI decisions across the enterprise.

Qualifications

• Bachelor's degree required.
• 10+ years of related experience, including prior management experience.
• Prior healthcare and/or managed care industry experience strongly preferred.
• Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position.

Responsibilities

• Own Enterprise Knowledge Strategy and AI Content Management, balancing strategic vision with operational execution to transform institutional knowledge into a strategic asset that creates competitive advantage and accelerates AI adoption.
• Identify, document, and transform critical institutional knowledge into scalable information assets, developing and maintaining domain-specific knowledge bases that include business context, taxonomies, knowledge-to-data mappings, and metric standards.
• Establish an information lifecycle management framework for knowledge assets designed to intake, curate, validate, evolve, and retire content while preserving integrity and minimizing bias through drift prevention, relevance management, and continuous validation.
• Partner with technology teams to map institutional knowledge and information assets to trusted data sources that power generative and agentic AI solutions
• Possess AI literacy and apply conceptual knowledge of retrieval-augmented generation (RAG), vector databases, and content optimization techniques to structure information assets for retrieval accuracy and AI effectiveness.
• Collaborate cross-functionally with data engineering, analytics, and business leadership to ensure alignment and prioritization of AI content knowledge creation and data governance efforts.
• Discover and translate AI business needs and use cases into explicit knowledge requirements by domain, and partner to gather and document key information into reusable AI context assets
• Communicate on progress, barriers, opportunities, and outcomes surrounding knowledge strategy and governance policies to senior leadership and other key stakeholders.
• Maintain a robust data governance framework to ensure data accuracy, consistency, and security in all Data Products, Analytics Products, and AI insights.
• Enable data users by maintaining a dynamic data and metrics catalogue, providing enablement and training opportunities, and offering issue support and resolution.
• Partner with data engineering to close data quality gaps and embed governance early in data layer creation.
• Foster a culture of data stewardship and accountability throughout the organization.
• Ensure data and knowledge assets are leveraged effectively to enable Centene's business and AI goals.
• Develop and enforce data ownership policies, usage standards, and best practices across the organization.
• Lead, grow, and develop a high-performing team of data governance specialists and data analysts.
• Guide and align individual and team level goals to organizational strategic direction.
• Provide mentorship and professional development opportunities to team members.
• Promote a culture of continuous improvement and innovation across the data organization and in the business units.
• Performs other duties as assigned.
• Comply with all policies and standards.

Education

Bachelor's degree

Job description

Centene is seeking a leader to build and govern the enterprise knowledge foundation powering AI-generated insights. You will oversee capture, curation, structure, and lifecycle management of business knowledge, ensuring accuracy and alignment with trusted sources.

You will drive strategy, data governance, and metadata, partner with data engineers and analytics, and lead a team of data governance professionals to enable AI decisions across the enterprise.