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AI Enablement Program Manager
Job Location:
Salary:
Experience Required:
Posted:
28 October 2026 (5 hours ago)
Posted:
Application Deadline:
25 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Our client a leading global Healthcare organization is seeking an experienced AI Enablement Manager to lead enterprise-scale Artificial Intelligence initiatives across global business functions. This is not a traditional Program Management role. The ideal candidate must have recent hands-on experience delivering AI Data Governance Data Cataloging (Purview/ Collibra) Machine Learning or Generative AI programs with proven expertise managing AI work products through Agile delivery methodologies AI Factory operating models and Value Team delivery frameworks. The successful candidate will partner with business leaders AI Engineering Data Science MLOps Product and Enterprise Architecture teams to successfully deliver AI initiatives from ideation through production deployment while ensuring measurable business value and governance throughout the delivery lifecycle.
This is a contractual role for 1 year with the likelihood of extension based upon the Clients needs.
The Role:
1. AI Program Management & Enablement
- Lead the end-to-end delivery of multiple AI ML and GenAI initiatives across global business functions.
- Develop program roadmaps delivery plans milestones resource plans budgets and success metrics aligned with business priorities.
- Coordinate cross-functional teams spanning AI engineering data science product data engineering MLOps IT security and business operations.
- Drive AI use-case identification prioritization proof-of-concept delivery production deployment and enterprise-scale adoption.
- Manage program risks dependencies issues and stakeholder communications while ensuring timely delivery and measurable business outcomes.
- Oversee production readiness operational handover performance monitoring and continuous improvement of AI solutions.
2. Data Governance Cataloging & Collibra Enablement
- Lead and coordinate data governance and data cataloging workstreams to support enterprise AI readiness.
- Partner with data owners data stewards data architects and governance teams to establish data ownership stewardship metadata standards and governance processes.
- Drive implementation and adoption of enterprise data catalog and governance platforms including capabilities for business glossaries metadata management data lineage data classification and governance workflows.
- Coordinate platform configuration integration with enterprise data sources requirements gathering testing deployment and business adoption.
- Support the implementation and operationalization of platforms such as Collibra or equivalent data governance solutions.
- Ensure AI initiatives leverage trusted discoverable high-quality and appropriately governed data assets.
- Establish governance processes for data access sensitive data handling data quality and compliance with enterprise security policies.
3. AI Governance Security & Operational Readiness
- Collaborate with cybersecurity privacy legal risk and compliance teams to ensure AI solutions meet enterprise governance and regulatory requirements.
- Support responsible AI practices including risk assessments data privacy access controls auditability and appropriate human oversight.
- Coordinate with MLOps and engineering teams on model deployment monitoring lifecycle management and production support.
- Ensure AI solutions and underlying data assets meet agreed standards for scalability reliability security and operational readiness.
4. Stakeholder Management & Value Realization
- Engage senior business and technology stakeholders to align AI initiatives with strategic objectives.
- Establish program governance executive reporting delivery KPIs and escalation mechanisms.
- Track business benefits AI adoption productivity improvements and return on investment.
- Drive organizational change stakeholder engagement and adoption of AI solutions and data governance practices across global teams.
Requirements
- 10 years of experience in technology program management enterprise transformation AI/ML delivery data management or related fields.
- Experience with Data Intelligence Cataloging and Governance.
- Demonstrated experience managing complex cross-functional technology programs preferably involving enterprise AI/ML or GenAI implementations.
- Strong understanding of the AI lifecycle including use-case discovery development deployment production and ongoing monitoring.
- Experience in data governance data cataloging metadata management data quality data lineage or enterprise data management.
- Experience coordinating enterprise platform implementations system integrations and business adoption initiatives.
- Strong program governance stakeholder management risk management planning and executive communication skills.
- Familiarity with cloud-based data and AI ecosystems and enterprise security requirements.
Preferred Qualifications
- Experience with Collibra implementation configuration integration or adoption (experience with comparable platforms such as Alation Informatica and/or Microsoft Purview is preferred).
- Understanding of business glossaries data stewardship metadata harvesting data lineage and governance operating models.
- Experience delivering GenAI LLM-based applications predictive analytics or AI-enabled business processes.
- Familiarity with MLOps model monitoring CI/CD responsible AI and AI governance frameworks.
- PMP PgMP Agile cloud or data governance certifications are an advantage.
Required Skills:
AI Program Manager Collibra
