Director of Enterprise Data Privacy Engineering

HPSpring, TX
1d$174,000 - $250,000

About The Position

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.

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.

Nice To Haves

  • 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

  • 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.
  • 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.
  • Align all initiatives with HP Cybersecurity, Privacy, and Legal frameworks while maintaining business agility.
  • Ensure ethical AI practices and transparent governance dashboards.
  • 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.
  • 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.
  • Automated classification, anomaly detection, compliance monitoring, and risk prediction.
  • Build modular components for encryption, tokenization, anonymization, and DLP integration.
  • Streamline privacy workflows across data lifecycle—design, build, deploy, monitor.
  • Operations Datawarehouse, Federated Data Lakehouse, Metadata Lakehouse—ensure privacy controls are embedded without performance trade-offs.

Benefits

  • The role comes with an attractive salary and a full range of benefits, encompassing health, dental, vision, 401K, and paid time off.
  • 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
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