Data & AI Platform Section Head

Role purpose

Platform strategy and operations

• Translate enterprise data and AI strategies into engineering roadmaps and platform enablement plans.
• Lead platform engineering, deployment, and operational support, ensuring reliability, performance, scalability, and enterprise security and resilience.
• Oversee provisioning, monitoring, and optimization for business-critical analytics and AI workloads.

Analytics, AI, and integration

• Provide high-quality, reliable, accessible platform data to enable analytics, AI, and reporting.
• Support business teams and data scientists with platforms, tools, and environments for AI model development and adoption.
• Partner with analytics teams to optimize platform use and measure adoption.
• Oversee data integration and API/middleware support for ingestion, transformation, and distribution across enterprise systems; maintain data availability, integrity, and flow.

Reporting and continuous improvement

• Update the Enterprise Platform, Apps & Analytics Manager on roadmap execution, risks, and modernization priorities.
• Apply platform engineering, monitoring, and maintenance standards; maintain configuration, integration, and operations documentation for compliance and audit readiness.
• Capture lessons learned, embed automation, and improve data and AI platform maturity.
• Monitor day-to-day compliance with policies and procedures and identify opportunities to improve systems, processes, cost, and productivity.

People management

• Mentor and coach subordinates through on-the-job training.
• Set direction and priorities, assign and delegate responsibilities, and monitor workflow.
• Promote a high-performance environment aligned with company values.

Qualifications and requirements

• At least 6 years of experience in a related field or equivalent.
• Bachelor’s degree in Engineering, Computer Science, Information Technology, or equivalent.
• Preferred certifications include CDMP, TOGAF, Scrum Master, PMI-ACP, SAFe, Google Cloud Professional Cloud Architect, AWS Solutions Architect Professional, and Databricks Data Engineer Professional.