Director, Data & Privacy

Brilliant®; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

20% annual bonus

Healthcare

PTO

401k

Job summary

Brilliant® is seeking an experienced Director, Data Privacy & Privacy Engineering to lead the privacy program across a global B2B SaaS portfolio. You will partner with Product, Engineering, Architecture, Cybersecurity, AI/Data teams, and Legal to embed privacy into products and platforms, with a strong emphasis on scalable processes and technically grounded controls.

You will operationalize regulatory requirements, advance privacy governance, and drive privacy engineering best practices,

Qualifications

• Bachelor's degree and 8+ years in privacy engineering or data governance.
• Experience translating regulatory requirements into technical solutions.
• Background in B2B SaaS and cloud environments.
• Proven RoPA, DPIA, DSR, and privacy operating model implementation.

Responsibilities

• Lead execution of the privacy and data governance roadmap.
• Build and mature privacy engineering and operations capabilities.
• Translate regulatory needs into technical controls and processes.
• Own RoPA, DPIA, DSR processes and related governance activities.
• Drive data classification, retention, and deletion initiatives.
• Define privacy engineering standards for data handling.
• Lead data subject rights execution and automation efforts.

Skills

Privacy engineering

Data governance

Regulatory compliance

Cloud platforms

Executive communication

Education

Bachelor's degree

Tools

OneTrust

BigID

TrustArc

DataGrail

Job description

Location

100% Remote (Ideally EST based)

Benefits

20% annual bonus, Healthcare, PTO, 401k

Role Summary

• We are partnered with a leading global B2B SaaS technology organization that is seeking an experienced Director, Data Privacy & Privacy Engineering to lead the implementation and operational execution of its privacy and data governance program.
• This role partners closely with Product Management, Engineering, Architecture, Cybersecurity, AI/Data teams, and Legal/Compliance stakeholders to embed privacy and responsible data practices across products, platforms, AI initiatives, and customer-facing solutions.
• This is a highly execution-oriented role focused on operationalizing privacy requirements, implementing technical controls, driving privacy engineering best practices, and building scalable privacy processes across a growing software portfolio.

Key Responsibilities

• Lead execution of the organization's privacy and data governance roadmap.
• Build and mature privacy engineering and privacy operations capabilities.
• Translate legal and regulatory requirements into technical controls, engineering requirements, and operational processes.
• Lead Records of Processing Activities (RoPA) processes and annual recertifications.
• Drive data classification, retention, deletion, and governance initiatives.
• Own privacy requirements and review processes for products, integrations, and data workflows.
• Define privacy engineering standards for collection, storage, sharing, retention, and deletion of data.
• Own technical execution of Data Subject Rights (DSR) processes.
• Drive automation for access, correction, deletion, and portability requests.

Required Qualifications

• Bachelor's degree and 8+ years of progressive experience in privacy engineering, data governance, privacy operations, or related disciplines.
• Demonstrated experience translating regulatory requirements into practical technical solutions.
• Strong background in B2B SaaS and cloud-based environments.
• Experience with AI and machine learning governance, multi-tenant architectures, APIs, integrations, security controls, and cloud platforms.
• Proven success implementing RoPAs, DPIAs, DSR processes, privacy governance frameworks, and privacy operating models.
• Strong executive communication and stakeholder management skills.

Nice-to-Have / Preferred Experience

• Experience building and scaling global privacy programs.
• Hands-on experience with privacy platforms such as OneTrust, BigID, TrustArc, Transcend, DataGrail, or similar solutions.
• Experience governing AI/ML data usage and model governance.
• Knowledge of international data transfer mechanisms.
• Comfortable operating within complex, matrixed organizations.
• Experience supporting highly regulated SaaS products and global customers.

What Success Looks Like

• This is a highly execution-oriented role focused on operationalizing privacy requirements, implementing technical controls, driving privacy engineering best practices, and building scalable privacy processes across a growing software portfolio.