Senior Manager, Applied AI Platforms
Tasks
- Build tiered IT support model with SLAs and escalation
- Ensure platform reliability, scalability, security, and compliance
- Establish incident and change management processes
- Implement access management onboarding and offboarding
- Lead global platform operating model workflows and handoffs
- Lead platform feature enablement with governance security and risk
- Manage platform licensing strategy and vendor engagement
- Monitor usage and report metrics with cost transparency
- Own enterprise AI and automation platform operations
- Partner with AI engineers to improve developer experience
- Prioritize AI enablement opportunities to maximize ROI
- Standardize consolidate and retire platforms to reduce complexity risk and cost
- Translate AI platform trends into governed innovation
Perks/Benefits
- N/A
Skills/Tech-stack
AI Engineering | Access Control | Access Management | Adaptive governance | Automation | Azure | Change Management | Cloud Computing | Enterprise Architecture | IT Service Management | IT service | ITIL | Incident Management | License Management | Metrics Reporting | Platform operations | Policy-as-Code | Problem Management | Release Management | Risk Management | Security Governance | Service Management | Usage monitoring | Vendor management | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Information Systems
Roles
AI | AI Platform Manager | Applied AI Platform Manager | Manager | Platform Manager
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