Senior Privacy Analyst

Ford - Seattle, WA

Full-time - Mid Level

Hybrid - Seattle, WA

Transportation Equipment Manufacturing

About the position

The Senior Privacy Analyst will be part of the Model e EVDD privacy engineering team at Ford Motor Company, focusing on connected vehicle data privacy. This role involves driving privacy-by-design initiatives, implementing governance solutions, and investigating privacy issues to protect customer data. The analyst will collaborate with various teams, including software engineers, data engineers, and legal partners, to enhance compliance and develop privacy-enhancing technologies.

Responsibilities

• Establish metrics and insights to report progress and recommend improvements for privacy infrastructure
• Work with legal, privacy office, product, and engineering to investigate, mitigate, and resolve privacy issues
• Support privacy impact assessment and governance reviews
• Manage and implement privacy policies for connected vehicle data systems
• Develop and provide privacy training

Requirements

• Bachelor's degree in computer science, privacy engineering, Information Security, or a related field
• 2+ years of experience in data analytics for issue investigation and data-driven decision making using SQL or Python
• 2+ years of experience in business and engineering requirements development, communication, and management
• 1+ years of experience in software development life-cycle, telemetry data life-cycle, data protection, data governance, cybersecurity, or related areas

Nice-to-haves

• Master's degree in Computer Science, privacy engineering, Information Security, or a related field
• Experience in data privacy, protection, governance, and related fields
• Familiarity with global privacy and AI regulatory and compliance requirements, such as GDPR, Data Act, AI Act, CCPA, and US state privacy laws
• CIPT/CRPM certification
• Strong analytical skills to assess privacy risks and develop mitigation strategies
• Ability to manage competing priorities and cross-functional collaboration
• Excellent written and communication skills
• Experience in data ontology and taxonomy
• Experience in cybersecurity

Benefits

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time