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Corporate Vice President - Data Protection & Data Risk Management Lead
New York Life - Jimenez Team
New York, NYPosted 1 weeks ago
Job Description
The key business outcomes that this position will drive are:
• Engineering solution development for compliance with relevant regulatory data protection guidelines for our democratized enterprise data lakes
• Roll-out of data risk taxonomy and risk measurement/reporting framework to ensuring data risks are appropriately measured & mitigated.
What You’ll Do:
• Define and drive the data protection strategy for NYL’s democratized enterprise data lakes in AWS (RedShift, DataBricks) & GCP (BigQuery, PostgreSQL), for both structured & unstructured data.
• Lead the design and implementation of data protection algorithms, platforms, processes & workflows.
• Collaborate with business data owners, stewards, data product managers, SMEs from Risk & Compliance, and data engineers to drive alignment on data protection goals and adoption of data protection tools and processes.
• Monitor deviations and follow-up on remediations
• Define a framework for measuring, monitoring and reporting of enterprise-wide Data Risk. Deliver a Data Risk mitigation program to ensure data risks are within control.
• Drive social events like roadshows, lunch and learns, training sessions, user enablement/onboarding sessions.
• As the Product Owner, participate in and lead the Agile ceremonies by owning the product backlog, managing the deliveries and soliciting/acting on customer feedback.
What You’ll Bring:
• 15+ years of professional experience, including 10+ years in a data protection or data engineering function, as hands-on leader.
• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Strong understanding of data protection frameworks, tagging, data risk measurement and metadata management concepts, for both structured & unstructured data.
• Proven ability to translate business needs into governance policies, standards, and workflows.
• Product owner / product management skills to drive user engagement & product adoption.
• Excellent communication and collaboration skills and experience working across business and technical teams.
• Familiarity with data warehousing, SQL, data analysis and data modeling concepts.
Required Skills:
• Hands-on experience with data protection tools – prior experience with leading rollouts for data protection routines for PII/PHI structured & unstructured data with be a stand-out skill.
• Familiarity with data catalog, quality and observability tools.
• Experience applying data protection frameworks, PII/PHI scanning & remediation and data risk measurement & reporting processes.
• Working in Agile environments as a Product Owner, using Jira, Confluence, and SharePoint.
Preferred Skills:
• Prior experience with DSPM initiatives will be a stand-out skill.
• Exposure to the AWS/GCP cloud stack, DataBricks, Atlan & Anomalo
• Exposure to AI-enabled data protection accelerators, metadata management etc.
• Experience driving/supporting data warehousing, data modernization or cloud migration initiatives in enterprise settings.
• Engineering solution development for compliance with relevant regulatory data protection guidelines for our democratized enterprise data lakes
• Roll-out of data risk taxonomy and risk measurement/reporting framework to ensuring data risks are appropriately measured & mitigated.
What You’ll Do:
• Define and drive the data protection strategy for NYL’s democratized enterprise data lakes in AWS (RedShift, DataBricks) & GCP (BigQuery, PostgreSQL), for both structured & unstructured data.
• Lead the design and implementation of data protection algorithms, platforms, processes & workflows.
• Collaborate with business data owners, stewards, data product managers, SMEs from Risk & Compliance, and data engineers to drive alignment on data protection goals and adoption of data protection tools and processes.
• Monitor deviations and follow-up on remediations
• Define a framework for measuring, monitoring and reporting of enterprise-wide Data Risk. Deliver a Data Risk mitigation program to ensure data risks are within control.
• Drive social events like roadshows, lunch and learns, training sessions, user enablement/onboarding sessions.
• As the Product Owner, participate in and lead the Agile ceremonies by owning the product backlog, managing the deliveries and soliciting/acting on customer feedback.
What You’ll Bring:
• 15+ years of professional experience, including 10+ years in a data protection or data engineering function, as hands-on leader.
• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Strong understanding of data protection frameworks, tagging, data risk measurement and metadata management concepts, for both structured & unstructured data.
• Proven ability to translate business needs into governance policies, standards, and workflows.
• Product owner / product management skills to drive user engagement & product adoption.
• Excellent communication and collaboration skills and experience working across business and technical teams.
• Familiarity with data warehousing, SQL, data analysis and data modeling concepts.
Required Skills:
• Hands-on experience with data protection tools – prior experience with leading rollouts for data protection routines for PII/PHI structured & unstructured data with be a stand-out skill.
• Familiarity with data catalog, quality and observability tools.
• Experience applying data protection frameworks, PII/PHI scanning & remediation and data risk measurement & reporting processes.
• Working in Agile environments as a Product Owner, using Jira, Confluence, and SharePoint.
Preferred Skills:
• Prior experience with DSPM initiatives will be a stand-out skill.
• Exposure to the AWS/GCP cloud stack, DataBricks, Atlan & Anomalo
• Exposure to AI-enabled data protection accelerators, metadata management etc.
• Experience driving/supporting data warehousing, data modernization or cloud migration initiatives in enterprise settings.