About the job
This role will elevate data privacy from a compliance obligation to an AI-driven strategic business enabler. The Director will design and execute HP’s global data privacy and protection strategy by building an AI-first privacy architecture that embeds reusable frameworks and automation into enterprise data platforms. By combining technical depth with business acumen, this leader will ensure privacy accelerates innovation, drives operational efficiency, strengthens customer trust, and unlocks new market opportunities, aligning to business roadmap.
Responsibilities
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.
Innovate for Growth
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.
Act with Integrity
Align all initiatives with HP Cybersecurity, Privacy, and Legal frameworks while maintaining business agility.
Ensure ethical AI practices and transparent governance dashboards.
Build for the Future
Define a long-term roadmap for AI-driven privacy automation, reducing manual effort and enabling continuous compliance.
Implement zero-trust principles, encryption, and cyber controls across HP’s data ecosystem without compromising innovation speed.
Work as One HP
Collaborate with Data Engineering, Product, Legal, and Cybersecurity teams to embed privacy into enterprise data platforms
Foster a culture where privacy is seen as an innovation enabler, not a blocker.
Qualifications
Minimum
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.
Preferred
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.