Sr AI Technical Program Mgr I

Jeppesen ForeFlight builds industry-leading aviation software used by pilots, aircraft operators, and major airlines worldwide. As a high-growth, private equity-backed company, we are focused on scaling our operations, strengthening our financial infrastructure, and driving operational excellence across the business. Our team combines deep domain expertise with a collaborative, high-performance culture to solve complex challenges and support continued growth. We're hiring a hands-on AI Adoption Champion to drive responsible, measurable adoption of AI tools across our ~3,000-person aviation software organization. This is a hybrid technical-and-programmatic role: you'll drive the platform configuration, day-to-day operations, and be the visible internal champion who makes AI useful, safe, and a little bit fun for engineers, product, customer success, legal, and back-office teams alike. You'll partner closely with IT/Security, Legal, HR, and our business unit leaders. The ideal candidate would thrive spearheading cross-functional AI adoption strategies with their hands-on knowledge of AI systems, and consumable communications to C-level executives and early career developers alike. ## **Key Responsibilities** **Drive Adoption and Engagement** - Build and run a multi-channel adoption program: office hours, internal community (Slack/Zoom/Confluence), demos, training, and on-demand learning paths - Design gamification mechanics — challenges, leaderboards, badges, prompt-of-the-week, team-vs-team competitions — tied to real productivity outcomes, not vanity activity - Identify and develop "AI champions" inside each business unit; equip them with playbooks, prompt libraries, and use-case templates - Translate wins into stories: surface high-impact examples and amplify them through internal comms, all-hands, and exec updates **Configure and Integrate** - Own the configuration of our enterprise AI platforms (Claude, Copilot, and adjacent tools): user provisioning, SSO/SCIM, permissions, data controls, retention policies, content filters - Stand up and maintain integrations with our identity, observability, and productivity stack (Okta, AWS, Slack, M365, Jira, etc.) - Configure guardrails aligned to our AI governance framework, including data classification, sensitive-data handling, and region-specific requirements - Maintain a sandbox/eval environment for testing new models, prompts, and connectors before broad rollout - Monitor and communicate the art of the possible using emerging foundation models, skills, MCPs, and related technologies **Support, Operate, and Break/Fix** - Serve as the AI-tooling subject-matter expert during incidents; IT, Business Applications, and Customer Support own incident response and RCA, with this role looped in on outages, degradations, and post-mortems - Track outage and degradation patterns and feed them back into vendor escalations and adoption planning - Manage vendor relationships, support tickets, license utilization, and renewal readiness - Keep an internal status page and known-issues log so users always know what's working **Enabling Non-Developers** - Build role-specific learning paths for non-technical functions, e.g., plain-language curricula with realistic, function-specific examples (a CS rep summarizing tickets, a legal analyst reviewing a vendor MSA, an FP&A analyst drafting variance prose) - Run guided, hands-on workshops and "first-use" sessions; Default to live coaching over self-service docs for many of these audiences - Curate role-tuned, organizationally available tools including prompt libraries, Skills, MCPs, and git-backed Plugins that are easy to install and separately maintained from the developer-oriented material - Identify and develop non-technical AI champions inside each function so support is local, contextual, and trusted - Partner with HR and Communications to weave AI fluency into onboarding for every new hire, regardless of role **Measure and Report** - Define and inst…