Principal Associate in Capital One's Cyber Organization addressing security detection engineering challenges using AI and advanced methodologies. Collaborate across teams to enhance threat detection and monitoring processes.
About the role
- Director of Enterprise Data Privacy Engineering shaping HP's data practices. Developing AI-driven privacy solutions that position privacy as a competitive advantage.
Responsibilities
- 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
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