Own the end-to-end configuration of the TA tech stack including ATS stages, fields, picklists, scorecards, user access, and permissions Manage all tools configuration, maintenance, and core setup across the technology ecosystem Own all integrations across the TA stack including build, monitoring, and incident response Design, build, and deploy end-to-end AI agents and automation workflows for recruiter-facing and enterprise TA use cases Own automation architecture and workflow mapping across the TA infrastructure layer Lead AI proposal triage, assessing feasibility, process impact, and candidate experience implications before approvals Drive prompt engineering, model management, and ongoing performance monitoring for all deployed agents Lead the TA systems roadmap, owning evaluation, RFPs, and tech stack planning for the TA team Manage vendor relationships for all TA technologies Lead legal and security reviews for AI tool proposals Develop business cases for new AI tool investments Own AI governance framework and policy for the TA function Lead data privacy and security compliance reviews for AI tools Build and deliver AI-specific enablement curriculum and adoption programs Maintain all AI-specific documentation, playbooks, and SOPs Contribute AI agent performance data to TA dashboards and own AI performance reporting