Lead Technical Program Manager

Job Responsibilities

• Partner with platform leadership to run business enablement and transformation priorities, translating strategy into coordinated execution and leading cross-functional projects from definition through delivery
• Own the operating cadence and preparation for leadership forums, including monthly business reviews, ensuring robust due diligence, clear storytelling, effective challenge, and timely follow-through on decisions and actions
• Align engineering books of work to strategic priorities and objectives, maintaining integrated roadmaps and tracking milestones, dependencies, risks, and outcomes in partnership with engineering leads and product owners
• Lead priority projects and transformation initiatives, coordinating stakeholders, resolving delivery impediments, and providing transparent reporting and escalation to senior leadership
• Partner with human resources, finance, and business management on resource management, headcount and financial tracking, talent reviews, promotion processes, and organizational communications
• Create and maintain disciplined processes that support consistent execution, leveraging AI-enabled tools and emerging technologies to reduce manual effort and improve the speed and quality of analysis, decision support, and communications
• Prepare data-driven recommendations, executive materials, and concise updates that enable informed decisions and clearly articulate business impact, delivery progress, risks, and required actions
• Establish and run a structured engagement cadence across global locations, including leadership forums, town halls, site visits, and listening sessions, with clear objectives, ownership, and follow-through
• Act as a connector across platform teams, surfacing themes, opportunities, and barriers; translating feedback into practical actions; and providing leadership with clear insight into engagement progress and impact
• Uses enterprise-authorized AI capabilities within the work environment to accelerate program planning and risk synthesis (e.g., consolidating inputs into integrated plans, risk/assumption/issue/dependency logs, and executive-ready updates), validating outputs and handling data according to sensitivity requirements