Vice President, AI Context Content Management

This is a fully remote position, open to applicants in Missouri.

📋 Description

• Construct and oversee the enterprise knowledge foundation that fuels AI-generated insights.

• Manage the capture, curation, structuring, and lifecycle management of business knowledge.

• Create and sustain domain-specific knowledge bases, encompassing business context, taxonomies, knowledge-to-data mappings, and metric standards.

• Implement lifecycle management for knowledge assets, which includes intake, curation, validation, evolution, and retirement.

• Collaborate with technology teams to align institutional knowledge and information assets with reliable data sources for generative and agentic AI solutions.

• Lead the enterprise knowledge strategy and management of AI content.

• Convert AI business requirements and use cases into domain-specific knowledge prerequisites and reusable AI context assets.

• Update senior leadership and stakeholders on progress, challenges, opportunities, and outcomes.

• Ensure data governance across Data Products, Analytics Products, and AI insights.

• Maintain a dynamic catalogue of data and metrics while providing enablement, training, issue support, and resolutions.

• Collaborate with data engineering to address data quality issues and integrate governance into the data-layer creation.

• Formulate and enforce data ownership policies, usage standards, and best practices.

• Lead, nurture, and develop a team of data governance specialists and data analysts.

• Align personal and team objectives with the overall organizational strategy.

• Offer mentorship and professional development opportunities.

• Encourage continuous improvement and innovation.

• Execute other assigned duties.

• Adhere to all policies and standards.

⛳️ Requirements

• Bachelor’s degree is required.

• A minimum of 10 years of relevant experience, including previous management roles.

• Prior experience in the healthcare and/or managed care sectors is highly preferred.

• Equivalent experience may be considered based on relevant knowledge, responsibilities, scope, and skills reflective of this position’s level.

• Proficiency in AI concepts.

• Understanding of retrieval-augmented generation (RAG), vector databases, and content optimization techniques.

• Familiarity with data governance, metadata strategy, taxonomies, knowledge-to-data mappings, and metric standards.

• Capability to collaborate effectively with data engineering, analytics, business leadership, and technology teams.

• Proven experience in leading, nurturing, and developing teams.

• Compliance with all policies and standards.

🏝️ Benefits

• Competitive compensation.

• Health insurance coverage.

• 401K retirement plan.

• Stock purchase plan.

• Tuition reimbursement program.

• Paid time off in addition to holidays.

• Flexible work arrangements, including remote, hybrid, field, or office schedules.

• Additional incentives may be included in total compensation, subject to eligibility.