Program Manager, Regulatory Reporting

Role overview

Lead complex regulatory reporting and technical operations programs supporting the safe expansion of an autonomous mobility service. This role connects compliance requirements, operational workflows, data quality, engineering, and machine learning initiatives, while managing execution across multiple functions and a distributed workforce.

• Build and execute strategic roadmaps for regulatory reporting operations, including forecasting, resource planning, dependencies, and delivery milestones.
• Partner with compliance specialists to translate legal and regulatory obligations into repeatable workflows and scale them across U.S. and international operations.
• Define program metrics, service-level targets, quality standards, and reporting mechanisms for operational performance.
• Lead workflow transformation and collaborate with engineering teams on machine learning and generative AI tools that improve event detection, triage, analysis, and quality assurance.
• Communicate program status, risks, priorities, and strategic decisions to senior stakeholders across technical and business organizations.
• Manage and mentor technical specialists while promoting a quality-focused culture in a fast-moving environment.

• Bachelor’s degree in a technical, legal, business, or related discipline.
• At least 10 years of experience managing complex, technology-enabled operations and cross-functional programs.
• At least 5 years of people-management experience.
• Experience with regulatory compliance, vehicle qualification, safety operations, or a comparable domain, including the ability to operationalize reporting requirements.
• Demonstrated ability to structure complex plans, identify dependencies, drive execution, and deliver measurable outcomes.
• Comfort working through ambiguity and changing priorities.

• Experience coordinating offshore teams or multiple regional operations hubs.
• Background in autonomous vehicles or a related mobility technology field.
• Familiarity with the machine learning lifecycle, including data preparation, training, validation, deployment, and monitoring.
• Experience applying Lean or Six Sigma process-improvement methods.

The role may be remote, although remote employment availability depends on location. The source describes eligibility for an annual discretionary bonus, equity incentives, and company benefits, subject to applicable requirements.