Data Discovery & Classification Cybersecurity Jobs

1 job found

Today

Sr Manager, IT Cybersecurity Data Protection

American Airlines Fort Worth, TX

Fort Worth, TX

Today

Full time Manager Ai Security Data Discovery & Classification

Apply Now

Job Description

Own the strategy and engineering direction for enterprise data protection and privacy by design across platforms, applications, and AI solutions.

Responsibilities

Lead the enterprise Data Protection and Privacy Technology strategy and roadmap, ensuring continuous improvement of controls including data classification, encryption, access governance, DLP, masking, and AI/ML safeguards.
Build expertise in enterprise data flows, promoting secure data handling and shared accountability while aligning protection and privacy decisions to business priorities and technology strategies.
Make guidance-driven decisions with limited direction from business or portfolio leadership by balancing data protection, privacy, risk appetite, and operational realities.
Provide oversight and direction for product capabilities, programs, services, and engagement model for data protection and privacy technologies; govern adherence to policies and standards; own and enhance the global operating model.
Translate complex privacy and data protection requirements into actionable guidance for senior leaders, technology teams, and business partners.
Shape how data protection and privacy controls are integrated into new technology development to mitigate risks early and effectively.
Act as a bridge across engineering, cybersecurity, privacy, and business teams to embed data protection and privacy by design into platforms, applications, and AI solutions.
Measure technology effectiveness using KPIs, telemetry, and operational metrics to drive maturity, automation, and risk reduction.
Conduct and oversee risk assessments, product evaluations, compliance checks, and audits for data protection and privacy to meet regulatory requirements.
Coordinate with appropriate teams during data protection and privacy incidents to ensure accurate reporting, communication, and follow-through.
Lead data protection and privacy awareness programs to improve end user understanding of responsibilities and emerging threats.
Serve as the primary point of contact between business or portfolio executive leadership and product teams, engaging executives and communicating progress of programs and services.
Build and lead global teams of data protection engineers, privacy engineers, and analysts to strengthen technical excellence, continuous learning, and innovation.
Oversee a team of up to 50 team members across multiple squads.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, Cybersecurity, or a related technical field.
8+ years of progressive experience in cybersecurity, data protection, privacy engineering, or information security.
3+ years leading technical teams in a large enterprise environment.
Experience driving large-scale security or privacy technology initiatives from strategy through execution.
Proven ability to collaborate across cybersecurity, legal, data, product, and engineering to embed privacy and security into systems and workflows.
Advanced communication skills to explain data protection and privacy concepts clearly to non-technical audiences and convert complex requirements into practical guidance.
Master’s degree in computer science, Cybersecurity, Engineering, Information Assurance, or a related technical field.
12+ years of experience in cybersecurity, privacy engineering, data protection, or information security.
5+ years leadership or management experience overseeing technical teams and driving enterprise-level initiatives.
Experience leading data protection or privacy engineering programs and teams in highly regulated industries (e.g., aviation, financial services, healthcare).
Knowledge of data protection industry practices and global privacy regulations including GDPR and CCPA/CPRA and PCI, with the ability to translate them into technical controls aligned to NIST CSF/PRMF and ISO/IEC 27001/27701.
Strong understanding of data security and privacy engineering, secure data lifecycle practices, and access control models.
Familiarity with cybersecurity or privacy-related risk assessment methodologies and frameworks.
Professional certifications such as CISSP, CIPP/E, CIPP/US, CIPT, CDPSE, CCSP, or equivalent privacy/security credentials.
Demonstrated ability to deliver prioritized outcomes using agile and product management principles.
Hands-on experience implementing and managing data protection and privacy technologies including DLP, data discovery/classification, encryption/tokenization, access governance, cloud data security, data and code scanning tools, DSAR/rights automation platforms, and consent and preference management tools.
Experience using KPIs, operational telemetry, and maturity metrics to evaluate data protection and privacy by design controls.
Demonstrated leadership and stakeholder influence skills across all levels, plus relationship building and communication strengths.
Excellent analytical and problem-solving abilities with attention to detail; solution-oriented approach to define pragmatic alternatives that support cybersecurity outcomes.
Ability to work independently with initiative.

Technologies

GDPR
CCPA/CPRA
PCI
NIST CSF
NIST PRMF
ISO/IEC 27001
ISO/IEC 27701
DLP
Encryption
Tokenization
Masking
AI/ML safeguards
Data discovery/classification
Access governance
Cloud data security
Data and code scanning tools
DSAR/rights automation platforms
Consent and preference management tools
CISSP
CIPP/E
CIPP/US
CIPT
CDPSE
CCSP

Benefits

Travel perks
Health benefits (health, dental, prescription and vision); virtual doctor visits; flexible spending accounts
Wellness programs
401(k) program
Additional benefits including Employee Assistance Program, pet insurance, and discounts on hotels, cars, cruises and more

View full job page →

Get Data Discovery & Classification Cybersecurity Jobs alerts

New Data Discovery & Classification Cybersecurity Jobs, daily.