Keybank logo
Keybank
Posted 20 days agoVerified live 6h ago

Data Security (SecuPi) Administrator

Brief overview

Remote
UndergradOr in progress
$80k–$150k/yrStated range
3+ yrsMinimum
89 H-1B approvalsDept. of Labor
29 green cardsCertified filings
SecuPiDatabase SecurityData MaskingEncryptionTokenizationIdentity and Access Management (IAM)Role-Based and Attribute-Based Access Control (RBAC/ABAC)PythonNetwork SecurityCloud SecurityKubernetesSIEM/SOAR Integration

About the company

Keybank logo
Keybankkey.com

A financial services company providing banking and advisory services.

Visa sponsorship history

4 years sponsoring, last filed FY2026

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
89H-1B approved
96%approval rate
24new H-1B hires
29PERM certified
$121,450median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202329
202428
202525
20267
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
202311
20245
20256
20266
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20237
20249
202510
20263
Top sponsored roles
Quantitative Analytics Senior AssociateSenior Software EngineerQuantitative Analytics Lead AssociateQuantitative Analytics, Sr. AssociateQuantitative Analytics Senior Manager
Sponsored employees from
IndiaChinaTaiwan

Job description

Summary

KeyBank is seeking a Data Security (SecuPi) Administrator to support and enhance enterprise data security technologies and controls. The role will administer data security platforms, implement access and protection policies, monitor data activity, troubleshoot integrations, support audits and incidents, and secure data accessed by cloud, application, database, and AI-enabled environments.

Responsibilities

  • Engineer, configure, administer, and maintain enterprise data security platforms, including SecuPi and comparable technologies
  • Implement and maintain policies for data access control, dynamic data masking, encryption, tokenization, filtering, and other data protection mechanisms
  • Support security controls across relational and NoSQL databases, data warehouses, cloud data platforms, APIs, applications, and analytics environments
  • Integrate data security technologies with enterprise identity and access management (IAM), privileged access management (PAM), SIEM, SOAR, DLP, and security monitoring platforms
  • Develop and maintain policies that enforce least-privilege and role- or attribute-based access to sensitive information
  • Support discovery and classification of sensitive data, including PII, financial information, credentials, intellectual property, and other regulated or confidential information
  • Monitor data access activity and investigate anomalous, unauthorized, or high-risk access patterns
  • Troubleshoot platform, policy, integration, connectivity, and performance issues affecting data security controls
  • Assess proposed database, application, cloud, and data-platform changes for potential security impacts
  • Partner with application and database teams to integrate security controls into new and existing solutions
  • Support security requirements for AI applications, copilots, and autonomous agents accessing enterprise data
  • Help ensure that AI-enabled services access only data authorized for the requesting user, application, or service identity
  • Develop automation and scripts to improve deployment, monitoring, policy management, reporting, and operational efficiency
  • Participate in vulnerability management, incident response, security investigations, and remediation activities involving enterprise data
  • Maintain security architecture diagrams, configuration standards, operating procedures, runbooks, and technical documentation
  • Support internal and external audits by providing evidence of data security controls and their effectiveness
  • Evaluate new data security technologies and recommend improvements to the organization’s data protection architecture

Skills

  • Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Engineering, or Cyber Security
  • 3+ years of experience in cybersecurity, security engineering, infrastructure security, database security, or a related technical discipline
  • Experience administering or engineering enterprise security technologies
  • Working knowledge of database technologies such as Oracle, Microsoft SQL Server, PostgreSQL, MySQL, or similar platforms
  • Understanding of data security concepts including encryption, tokenization, masking, access control, data classification, and database activity monitoring
  • Knowledge of authentication and authorization concepts including IAM, RBAC, ABAC, SSO, service accounts, and privileged access
  • Experience troubleshooting complex enterprise technology integrations
  • Familiarity with Linux and/or Windows operating environments
  • Scripting or automation experience using technologies such as Python, PowerShell, Bash, REST APIs, or similar tools
  • Understanding of network security concepts including TCP/IP, TLS, proxies, firewalls, DNS, and secure communications
  • Experience securing cloud platforms such as AWS, Microsoft Azure, or Google Cloud
  • Familiarity with Kubernetes, containers, APIs, microservices, and modern application architectures
  • Strong analytical, troubleshooting, documentation, and communication skills
  • Experience with SecuPi or comparable data security, database security, or data access governance platforms
  • Experience with database activity monitoring (DAM), data security posture management (DSPM), DLP, encryption/key management, or data discovery and classification technologies
  • Experience securing cloud platforms such as AWS, Microsoft Azure, or Google Cloud
  • Experience securing cloud data platforms, data warehouses, or data lakes
  • Experience integrating security technologies with SIEM/SOAR platforms and enterprise monitoring systems
  • Experience implementing security controls for generative AI, AI agents, LLM applications, or retrieval-augmented generation (RAG) architectures
  • Understanding of Zero Trust and data-centric security principles
  • Familiarity with regulatory and security frameworks such as NIST, ISO 27001, PCI DSS, SOX, HIPAA, GDPR, or similar requirements
  • Relevant certifications such as CISSP, CCSP, Security+, GIAC, cloud security certifications, or vendor-specific security certifications

Qualifications

Must Haves

  • Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Engineering, or Cyber Security
  • 3+ years of experience in cybersecurity, security engineering, infrastructure security, database security, or a related technical discipline
  • Experience administering or engineering enterprise security technologies
  • Working knowledge of database technologies such as Oracle, Microsoft SQL Server, PostgreSQL, MySQL, or similar platforms
  • Understanding of data security concepts including encryption, tokenization, masking, access control, data classification, and database activity monitoring
  • Knowledge of authentication and authorization concepts including IAM, RBAC, ABAC, SSO, service accounts, and privileged access
  • Experience troubleshooting complex enterprise technology integrations
  • Familiarity with Linux and/or Windows operating environments
  • Scripting or automation experience using technologies such as Python, PowerShell, Bash, REST APIs, or similar tools
  • Understanding of network security concepts including TCP/IP, TLS, proxies, firewalls, DNS, and secure communications
  • Experience securing cloud platforms such as AWS, Microsoft Azure, or Google Cloud
  • Familiarity with Kubernetes, containers, APIs, microservices, and modern application architectures
  • Strong analytical, troubleshooting, documentation, and communication skills

Nice to Haves

  • Experience with SecuPi or comparable data security, database security, or data access governance platforms
  • Experience with database activity monitoring (DAM), data security posture management (DSPM), DLP, encryption/key management, or data discovery and classification technologies
  • Experience securing cloud platforms such as AWS, Microsoft Azure, or Google Cloud
  • Experience securing cloud data platforms, data warehouses, or data lakes
  • Experience integrating security technologies with SIEM/SOAR platforms and enterprise monitoring systems
  • Experience implementing security controls for generative AI, AI agents, LLM applications, or retrieval-augmented generation (RAG) architectures
  • Understanding of Zero Trust and data-centric security principles
  • Familiarity with regulatory and security frameworks such as NIST, ISO 27001, PCI DSS, SOX, HIPAA, GDPR, or similar requirements
  • Relevant certifications such as CISSP, CCSP, Security+, GIAC, cloud security certifications, or vendor-specific security certifications

Benefits

  • Eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
  • Prioritizes in-office presence while providing flexible options when roles can be performed effectively in a mobile environment.

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