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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Advanced Data & AI Security Specialist - **Company:** Honeywell Aerospace - **Location:** Phoenix, AZ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Training Data, Artificial Intelligence, Cyber Security, Information Engineering, Data Governance, Data Infrastructure, Information Leak Prevention, Data Masking, Data Security, Identity and Access Management, Role-Based Access Control, Security Software, Tokenization, Data Classification, Data Ingestion, Software Security, Usage Tracking, AI Platforms, Information Technology, Cybercrime, Data Management, Data Pipelines, Vulnerability Analysis - **Published:** July 30, 2026 - **Apply:** https://www.phoenixjobs.com/job.asp?id=3336267770&tx=IT8174TYZ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 5 or more years of experience in data engineering or a related field. * Knowledge of AI/ML and GenAI security requirements and risks, including data leakage and model exposure * Experience implementing security controls across the AI lifecycle (data ingestion, training, inference, deployment, and monitoring) * Understanding of data protection, access control, and identity management for AI platforms and pipelines * Familiarity with Responsible AI principles, including privacy, fairness, explainability, and risk mitigation * Deep expertise in RBAC, ABAC, policy enforcement, data masking, and classification. * In-depth knowledge of data security technologies and methodologies. * Experience with security frameworks and compliance standards such as ISO 27001, NIST, or GDPR. * Strong knowledge of data governance frameworks, data quality, and compliance standards. * Experience with data privacy regulations and best practices in data security., * Bachelor's degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics. * Master's degree in computer science, Engineering, or a related field. * Experience with enterprise data security and governance initiatives * Experience with highly regulated industry standards * Enterprise Strong analytical and problem-solving skills with a focus on data protection. * Ability to work effectively in a fast-paced and dynamic environment. * Excellent project management skills and attention to detail. US PERSON REQUIREMENT Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status. ## Description You will report directly to our IT Security Director, and you'll work out of our Phoenix, AZ or Charlotte, NC location on a Hybrid work schedule. Note: New Hires will work onsite M-F for the first 90 days In this role, you will impact the security of our data infrastructure, driving initiatives that enhance our data protection capabilities and mitigate risks associated with evolving cyber threats. * Design, implement, and enforce security controls across the AI lifecycle, including data protection, model security, access controls, and secure deployment of AI/GenAI solutions. * Partner with cybersecurity, legal, and AI engineering teams to identify AI-specific risks, ensure regulatory compliance, and embed "secure-by-design" and Responsible AI principles into all AI use cases. * Define and govern data access models (RBAC/ABAC), including access policies, approval workflows, and entitlement standards, in partnership with business, data, cybersecurity and IAM teams. * Enforce data access and protection policies, monitor compliance, and drive remediation and exception management. * Lead access reviews, security testing, control validation, and audits for data platforms and use cases. * Define and apply data classification and tagging standards to enable risk-based, automated security and policy enforcement. * Oversee data masking, encryption, tokenization, and protection reviews aligned to data sensitivity and intended use. * Secure data across its lifecycle, including data pipelines, cloud platforms, analytics, and AI/ML use cases, ensuring security-by-design. * Establish security requirements for AI and ML data usage, including protection of training data, inference data, and model inputs and outputs. * Conduct data security risk assessments, vulnerability analysis, and threat modeling, and act as SME for incidents and investigations. ## Related Videos - [Secure and Private AI - DeepMask](https://www.wearedevelopers.com/videos/1665-secure-and-private-ai-deepmask) - [Analytics in the Age of Agentic AI: A tour of ClickHouse and Langfuse](https://www.wearedevelopers.com/videos/100240-analytics-in-the-age-of-agentic-ai-a-tour-of-clickhouse-and-langfuse) - [Fighting the Next Wave of Cybercrime](https://www.wearedevelopers.com/videos/100331-fighting-the-next-wave-of-cybercrime) - [This App Reached 10,000 Users in One Week. 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