Senior Privacy Analyst

Ford - Palo Alto, CA

Full-time - Mid Level

Hybrid - Palo Alto, CA

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 is crucial for implementing privacy-by-design principles, governance, 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 and other 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 field
• 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 and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• 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.