AI Finance Programs Lead — Executive Engagement

Socket.dev

Seattle (WA)

On-site

USD 83,000 - 130,000

Full time

14 days+

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Job summary

AWS Applied AI Solutions in Seattle, WA, seeks a Program Manager to lead high-visibility, cross-organizational initiatives at the intersection of AI and Finance. You will own the operational backbone of our executive engagement model, connecting AWS Finance leaders with customer CFOs and shaping AI adoption programs.

Join a team that designs scalable processes, tracks ROI, and drives culture of AI innovation across AWS Finance.

Qualifications

3+ years of program or project management experience.
Bachelor's degree
3+ years of defining and implementing process improvement initiatives using data and metrics experience.
Experience using data and metrics to determine and drive improvements.
Experience working cross functionally with tech and non-tech teams.
Experience communicating effectively with senior leadership.
Experience building scalable programs and repeatable scalable processes, leveraging various tools and methods to create scale and efficiency.

Responsibilities

Own the end-to-end executive engagement lifecycle, including request intake, speaker matching, engagement readiness (e.g., tailored content, use case selection, and demo planning based on customer interests), and post-engagement follow-through.
Drive mechanisms to scale the program by educating and equipping field teams to lead customer engagements end-to-end, and integrating finance participation where it adds value.
Design and maintain program mechanisms, documentation, and operating rhythms that ensure consistent, high-quality customer experiences and efficient use of senior leader time, building trusted relationships across teams, organizations, and leadership levels to drive alignment, remove blockers, and keep stakeholders informed.
Manage a speaker readiness pipeline, tracking candidate development milestones, training completion, and shadowing requirements to maintain a bench of qualified customer-facing finance leaders.
Track program success metrics, synthesize engagement data, and produce reporting that demonstrates pipeline health, program ROI, and areas for investment.
Own operating mechanisms for AI transformation visibility across Amazon Finance, including cadence, stakeholder communications, cross-functional alignment, and executive-level reporting.
Foster a culture of AI innovation and knowledge-sharing across AWS AI Solutions Finance by designing forums, communication channels, and showcase opportunities for teams to share use cases and best practices.