Role Purpose: 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.
Why This Role Matters
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.
Key Responsibilities (Aligned with HP Leadership Principles)
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.
Strategic & Technical Focus Areas
AI-Driven Privacy Architecture: Automated classification, anomaly detection, compliance monitoring, and risk prediction.
Reusable Privacy Frameworks: Build modular components for encryption, tokenization, anonymization, and DLP integration.
Process Automation: Streamline privacy workflows across data lifecycle—design, build, deploy, monitor.
Enterprise Platforms: Operations Datawarehouse, Federated Data Lakehouse, Metadata Lakehouse—ensure privacy controls are embedded without performance trade-offs.
Qualifications & Requirements
Education & Experience
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.
Technical Expertise
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.
Leadership & Business Skills
Outstanding leadership, communication, and stakeholder management skills.
Ability to influence senior executives and drive privacy as a business enabler across the organization.
Preferred Qualifications
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.
Benefits:
The role comes with an attractive salary and a full range of benefits, encompassing health, dental, vision, 401K, and paid time off. You'll also find ample chances for advancing your professional skills and experience within a collaborative, innovative work setting that encourages creativity and initiative.
This Director-level role offers a unique opportunity to lead and shape the organization's data practices, influencing strategic decision-making and ensuring the highest standards of Customer data privacy and consent management while actively contributing hands-on in technical development and design.
To apply, please submit your resume and a detailed cover letter outlining your leadership experience and hands-on technical expertise in developing similar applications in the realm of Customer data privacy and consent management.
The pay range for this role is $174,000 to $250,000 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
* 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 (US benefits overview
[https://hpbenefits.ce.alight.com/])
The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time,
with or without notice, subject to applicable law.