Sr. Director, Enterprise Artificial Intelligence

Job summary

MAIN JOB RESPONSIBILITIES / COMPETENCIES The Director, Enterprise Artificial Intelligence is responsible for leading the Company's enterprise Artificial Intelligence (AI) strategy and driving business transformation through the adoption of AI-enabled capabilities across the organization.

Qualifications

• EDUCATION & TRAINING
• Advanced degree preferred.
• Professional certifications in AI, Cloud Computing, Enterprise Architecture, Cybersecurity, Project Management, or Data Analytics are highly desirable.
• EXPERIENCE
• 12+ years of progressive leadership experience in enterprise technology, digital transformation, Artificial Intelligence, data analytics, enterprise architecture, software engineering, or related disciplines.
• 3+ years leading enterprise digital AI transformation organizations.
• Demonstrated success developing enterprise AI strategies delivering measurable business transformation.
• Experience with Generative AI, LLMs, Agentic AI, RAG, Machine Learning, Predictive Analytics, and Intelligent Automation.
• Experience in integrating AI with ERP, CRM, Supply Chain, Manufacturing, Finance, HR, and enterprise platforms.
• Experience presenting AI strategies and business outcomes to executive leadership and Boards.
• Enterprise AI governance, organizational change management, and global business transformation.
• FDA-regulated medical devices, biotechnology, pharmaceutical, life sciences, or other regulated industries preferred.

Responsibilities

• COMPETENCIES
• Lead and execute the Company's enterprise Artificial Intelligence strategy aligned with corporate objectives, digital transformation initiatives, and measurable business outcomes.
• Establish and operationalize an Enterprise AI Center of Excellence (AI CoE) responsible for governance, standards, reusable AI capabilities, and enterprise adoption.
• Drive enterprise business transformation through the application of Artificial Intelligence, Generative AI, Agentic AI, Machine Learning, Predictive Analytics, and Intelligent Automation.
• Partner with executive leadership and business stakeholders to identify and prioritize AI initiatives that improve operational efficiency, product quality, customer experience, revenue growth, and employee productivity.
• Develop enterprise AI roadmaps, investment strategies, business cases, and value realization plans.
• Establish Responsible AI governance, AI policies, model lifecycle management, and AI risk management practices.
• Lead implementation of RAG, semantic search, vector databases, AI assistants, and enterprise knowledge management.
• Integrate AI with Oracle Fusion ERP, OCI, OIC, Salesforce, MES, PLM, enterprise data platforms, and cloud-native applications.
• Establish KPIs and executive dashboards measuring AI adoption and business value.
• Lead organizational change management and enterprise AI adoption.
• Recruit and mentor a team of AI/Business Engineers, Data Engineer/architects and AI Product Owner.

Skills

Certifications

Degrees

Industry

Company size