Privacy and AI Operations Manager

General Motors

3d•$112,000 - $175,000•Remote

About The Position

The Privacy & AI Operations Manager at General Motors drives execution, governance maturity, education, metrics, and continuous improvement for GM’s enterprise-wide Privacy program. This operational leader will help scale GM’s privacy and AI governance capabilities through clear workflows, measurable outcomes, stakeholder engagement, process optimization, and organizational awareness. Unlike roles focused on Data Subject Requests (DSRs) and daily workflows, this position oversees the broader health of GM’s privacy program and emerging AI governance efforts. It leads reporting frameworks, training and education, governance processes, policy management, and strategic initiatives that help GM maintain trust while meeting evolving regulatory, business, and customer expectations. The role will help turn privacy and AI governance into coordinated, measurable, and scalable enterprise programs. The successful candidate will be highly organized, analytical, and skilled at driving execution across complex, global, cross-functional teams. They will demonstrate a proven ability to manage competing priorities, navigate ambiguity, and build alignment among diverse stakeholders to achieve strategic business objectives. In addition, the ideal candidate will have experience leveraging artificial intelligence and emerging technologies to enhance efficiency, streamline processes, and improve decision-making. They will possess a strong understanding of how AI can be applied to optimize workflows, automate routine tasks, uncover insights from data, and enable teams to work more effectively.

Requirements

Bachelor's degree
7+ years of experience in Privacy, Risk Management, Data Governance, Operations, Program Management, or related fields
Experience leading enterprise-wide programs with cross-functional stakeholders
Strong executive communication and presentation skills
Experience developing metrics, dashboards, reporting frameworks, and governance processes
Ability to translate complex regulatory or technical concepts into actionable business guidance
Strong project management, organizational, and stakeholder management skills

Nice To Haves

Privacy or AI certifications (CIPP, CIPM, CIPT, AIGP or equivalent).
Previous people management experience preferred.
Experience supporting AI governance, digital trust, responsible AI, or emerging technology programs.
Experience with privacy and consent management platforms (TrustArc or similar).
Experience with Power BI, reporting platforms, or data visualization tools.
Experience working in highly regulated or global environments.
Familiarity with privacy regulations including U.S. state privacy laws, GDPR, LGPD, PIPEDA, the EU AI Act, and other global privacy and AI governance frameworks.

Responsibilities

Lead Enterprise Privacy & AI Governance Operations: Drive the day-to-day operational management of GM’s Privacy and AI governance programs, establishing sustainable processes, operating rhythms, and oversight mechanisms. Coordinate privacy governance forums (e.g., Privacy Champions Program and International Privacy CoE), ensuring clear agendas, crisp materials, decision tracking, and follow-through on action items. Support risk assessment development and other regulatory readiness activities. Monitor program effectiveness and identify opportunities to strengthen governance maturity. Ensure governance processes remain aligned to regulatory obligations, industry best practices, and evolving business needs. Support implementation and operationalization of new privacy and AI governance frameworks, controls, and initiatives.
Lead Privacy & AI Training, Awareness & Education Programs: Own the strategic development and execution of GM’s Privacy and AI training and awareness programs. Develop annual training plans aligned to organizational needs and emerging risks. Create role-based education programs tailored to varying audiences across the organization. Design and deliver awareness campaigns that promote responsible data use and trustworthy AI practices. Develop executive briefings, learning materials, awareness assets, guidance documents, and communications. Measure training effectiveness and continuously improve educational offerings. Partner with HR, Communications, Learning & Development, and functional stakeholders to expand program reach and impact.
Own Enterprise Privacy Health Metrics & Executive Reporting: Develop and maintain a unified Privacy & AI program measurement framework. Consolidate key health indicators into a executive ready dashboards and reports. Develop reporting methodologies, establishing KPI definitions, performance thresholds, reporting cadences, and governance metrics. Analyze trends, risks, gaps, and opportunities and provide actionable insights and recommendations to senior leadership.
Drive Privacy Program Documentation & Content Management: Lead creation, maintenance, and publication of all Privacy Operations program materials. Establish governance and ownership processes for enterprise privacy content. Ensure documentation remains current, accurate, and aligned with regulatory and business requirements. Partner with Legal and Communications teams to support publication and communication of updates.
Support Responsible AI Governance Operations: Partner with AI Governance to operationalize the evolving governance framework, and document and systematize each process as it stabilizes. This is a build-phase operations role, not the maintenance of a finished machine. Coordinate the AI Impact Assessment workflow end-to-end operationally and help formalize and document the workflow as its design matures. Help to administer the new AI governance platform, leading workflow configuration and user/reviewer role management. Own program metrics and reporting: build and maintain risk dashboards and recurring status reporting to the AI Governance team, AI Working Group, the Privacy & AI Council, and leadership.
Drive Operational Excellence & Continuous Improvement: Identify opportunities to simplify, automate, streamline, and scale privacy and governance operations using AI and other emerging technologies. Lead strategic operational initiatives that improve efficiency, transparency, and program maturity. Develop future-state processes and operating models that reduce manual effort and strengthen governance outcomes. Partner with technology teams to improve reporting tools, workflows, automation, and user experiences.