Senior Technical Program Manager

Define AI program goals, success criteria, and performance metrics across products or functional areas, aligning with organizational strategy and stakeholder needs. Partner with cross-functional teams to design integrated, AI-driven solutions and architectures, ensuring alignment with technical and business objectives. Drive orchestration and integration for complex, cross-functional programs by building relationships and coordinating across teams and stakeholders. Ensure compliance with privacy, security, quality, safety, and legal standards across products and services. Collaborate on roadmaps and technical execution, incorporating AI-enabled features while maintaining quality, security, and responsible AI standards. Lead AI-driven analysis and experiments to understand customer needs, validate use cases, improve product performance, and deliver actionable insights. Engage stakeholders through technical advising, feedback sessions, sales enablement, and incident root-cause analysis to improve customer experience and drive continuous improvement. Bachelor's Degree AND 4+ years of experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience. 2+ years of experience managing cross-functional and/or cross-team projects. Bachelor's Degree AND 8+ years of experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience. 6+ years of experience managing cross-functional and/or cross-team projects. 1+ year(s) of experience reading, analyzing, and writing code with AI. Experience in corporate finance or FP&A, operating as a trusted advisor between finance stakeholders and engineering teams with the ability to translate financial concepts into technical requirements without intermediaries. Experience creating wireframes, storyboards, or working prototypes using tools such as Figma and GitHub Copilot for stakeholder validation before engineering handoff. Experience documenting end-to-end data lineage, source system dependencies, and business logic transformations as part of structured engineering handoff artifacts. Experience developing and implementing AI-enabled solutions using tools such as Azure OpenAI, Cognitive Services, and machine learning models, including integrating these capabilities into programs to drive measurable business impact.