Director of Enterprise Data Privacy Engineering

HP • Spring, TX

1d

About The Position

Think Customer First Make privacy a customer value proposition, ensuring trust and transparency in all data products. Embed privacy-by-design into enterprise platforms and customer-facing applications. Bachelor's or master's degree in computer science, Engineering, or related field. 10+ years of progressive experience in data privacy, cybersecurity, or data protection, with enterprise-scale architecture expertise. Proven leadership in AI-driven privacy engineering, automation, and data engineering solutions for customer consent and privacy compliance. Hands-on experience with AI security tools, DLP solutions, and privacy-by-design principles. Strong programming skills (e.g., Python, Java) and proficiency with data processing frameworks (e.g., Apache Spark, Hadoop). Expertise in cloud platforms (AWS, Azure, GCP) and data storage technologies (SQL, NoSQL, Big Data). Working knowledge of sensitive data management technologies (e.g., BigID) and data loss prevention techniques. Deep understanding of global privacy regulations (GDPR, CCPA) and cyber frameworks (NIST, ISO 27001), with a proven track record of implementing robust compliance solutions. Outstanding leadership, communication, and stakeholder management skills. Ability to influence senior executives and drive privacy as a business enabler across the organization. Demonstrated experience in technical leadership roles developing applications for consent management and customer data privacy. Industry certifications such as CIPP/E, CIPM, CISSP, IAPP or equivalent. Active industry participation, publications, or memberships related to data privacy and customer trust. Design AI-first privacy architecture that automates compliance, risk prediction, and secure data engineering. Develop privacy accelerators - frameworks, APIs, and SDKs - that integrate seamlessly into product development workflows. Ensure ethical AI practices and transparent governance dashboards. Build for the Future Collaborate with Data Engineering, Product, Legal, and Cybersecurity teams to embed privacy into enterprise data platforms Process Automation: Streamline privacy workflows across data lifecycle—design, build, deploy, monitor.

Requirements

• Bachelor's or master's degree in computer science, Engineering, or related field.
• 10+ years of progressive experience in data privacy, cybersecurity, or data protection, with enterprise-scale architecture expertise.
• Proven leadership in AI-driven privacy engineering, automation, and data engineering solutions for customer consent and privacy compliance.
• Hands-on experience with AI security tools, DLP solutions, and privacy-by-design principles.
• Strong programming skills (e.g., Python, Java) and proficiency with data processing frameworks (e.g., Apache Spark, Hadoop).
• Expertise in cloud platforms (AWS, Azure, GCP) and data storage technologies (SQL, NoSQL, Big Data).
• Working knowledge of sensitive data management technologies (e.g., BigID) and data loss prevention techniques.
• Deep understanding of global privacy regulations (GDPR, CCPA) and cyber frameworks (NIST, ISO 27001), with a proven track record of implementing robust compliance solutions.
• Outstanding leadership, communication, and stakeholder management skills.
• Ability to influence senior executives and drive privacy as a business enabler across the organization.
• Demonstrated experience in technical leadership roles developing applications for consent management and customer data privacy.
• Industry certifications such as CIPP/E, CIPM, CISSP, IAPP or equivalent.
• Active industry participation, publications, or memberships related to data privacy and customer trust.

Responsibilities

• Design AI-first privacy architecture that automates compliance, risk prediction, and secure data engineering.
• Develop privacy accelerators - frameworks, APIs, and SDKs - that integrate seamlessly into product development workflows.
• Ensure ethical AI practices and transparent governance dashboards.
• Collaborate with Data Engineering, Product, Legal, and Cybersecurity teams to embed privacy into enterprise data platforms
• Streamline privacy workflows across data lifecycle—design, build, deploy, monitor.

What This Job Offers

• Job Type: Full-time
• Career Level: Director