Director of Enterprise Data Privacy Engineering

This job is with HP, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Director of Enterprise Data Privacy Engineering
Description
- 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 Data warehouse, 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, No

SQL, 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…