Architect for Scale & Speed: Build privacy architecture that is modular, reusable, and automated, enabling rapid deployment of data products.
AI-First Culture: Infuse AI into every privacy process - classification, compliance, monitoring - to create a self-learning, adaptive privacy ecosystem.
Business Impact: Position privacy as a competitive advantage, reducing compliance overhead while accelerating product delivery.
Think Customer First: Make privacy a customer value proposition, ensuring trust and transparency in all data products.
Innovate for Growth: Design AI-first privacy architecture that automates compliance, risk prediction, and secure data engineering.
Act with Integrity: Align all initiatives with HP Cybersecurity, Privacy, and Legal frameworks while maintaining business agility.
Build for the Future: Define a long-term roadmap for AI-driven privacy automation, reducing manual effort and enabling continuous compliance.
Work as One HP: Collaborate with Data Engineering, Product, Legal, and Cybersecurity teams to embed privacy into enterprise data platforms.

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.

Benefits

Health insurance
Dental insurance
Vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure
11 paid holidays
Additional flexible paid vacation and sick leave

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data privacycybersecuritydata protectionAI-driven privacy engineeringautomationdata engineeringprogramming (Python, Java)data processing frameworks (Apache Spark, Hadoop)cloud platforms (AWS, Azure, GCP)data storage technologies (SQL, NoSQL, Big Data)

Soft Skills

leadershipcommunicationstakeholder managementinfluencecustomer focusintegritycollaborationbusiness agilitytrusttransparency

Certifications

Bachelor’s degreeMaster’s degreeNISTISO 27001