Lead Technical Program Manager, Risk Technology

What you'll do

• Develop and execute comprehensive program plans including scope, milestones, dependencies, and technical interfaces.
• Own end-to-end outcomes by proactively surfacing issues and implementing corrective actions to protect delivery quality.
• Use enterprise-authorized AI tools to accelerate program planning, risk synthesis, and executive reporting.
• Identify and mitigate risks early by maintaining actionable RAID and contingency plans.
• Partner with engineering and product stakeholders to define objectives, technical dependencies, and success metrics.
• Use data and analytical reasoning to assess program health and implement efficiency optimizations.
• Drive resolution of complex cross-functional issues by clarifying roles and bringing together the right stakeholders.
• Promote reuse-first, AI-assisted practices for program governance while ensuring human review of all outputs.

What we're looking for

• 5+ years of experience in technical program management leading complex technology projects in a large organization.
• Advanced expertise in stakeholder management and influencing decision-making across cross-functional teams and clients.
• Advanced experience applying technical fluency to lead complex programs across shared platforms, services, and dependencies in large-scale environments.
• Proven track record of managing resources, budgets, and influencing high-performing teams in a fast-paced, agile environment.
• Demonstrated proficiency in applying analytical reasoning and problem-solving to break down business, technical, or operational objectives into manageable tasks.
• Demonstrated technical fluency across software and system delivery lifecycles, architecture concepts, APIs, data flows, release processes, and production readiness.
• Proven ability to engage credibly with engineering teams on design dependencies, integration risks, and execution tradeoffs without direct people management.
• Demonstrated experience using enterprise-authorized AI capabilities for program management workflows with strong validation habits and data sensitivity awareness.
• Demonstrated ability to operate as a trusted advisor to senior stakeholders and executive sponsors (preferred).
• Experience driving continuous improvement in delivery practices, metrics, and planning discipline (preferred).
• Relevant certifications such as PMP, PMI-ACP, CSM/SAFe, or equivalent agile program leadership (preferred).
• Prior hands-on background in software engineering or equivalent experience as a highly technical TPM (preferred).
• Experience with large-scale distributed systems, cloud services, data ecosystems, or production operations (preferred).