Corporate Vice President - Data Architect
new york life insurance companyBrooklyn (NY)
Corporate Vice President - Data Architect
Posted today
new york life insurance companyBrooklyn (NY)
SENIORITY
Manager
About the role
Overview:
In this role you will shape the company’s modern data management strategy as part of the Enterprise Data team. You will collaborate with data product owners, data scientists and engineers to design cloud-based data solutions that enable measurable business outcomes. You’ll lead data modeling, governance and security efforts while aligning with end-to-end architecture and SLAs. This is a hands-on, change‑driving role at a leading mutual insurer leveraging AWS, APIs and AI to accelerate competitive advantage.
Responsibilities:
Design scalable logical and physical data models for enterprise data products and storage Create operational and analytical data models and define data management standards Collaborate with Data Product Managers, Value Stream Architects and Data Engineers to translate business needs into data solutions Maintain current-state data capability inventories and ensure alignment with the data architecture Enforce data governance, quality, security and privacy policies Identify opportunities to consolidate legacy technologies and simplify data stores Lead and drive organizational change initiatives to improve business outcomes Stay current with industry trends and innovate within the data infrastructure
Key requirements:
8+ years as a Data Architect on large-scale enterprise solutions with agile experience Deep knowledge of modern data architecture, data lakes, data warehouses, data marts, dimensional modeling and MDM Experience with Oracle, Postgres, MySQL and relational data modeling concepts Proven ability to design, deploy and evaluate scalable data platforms Hands-on experience with Data Lake, Databricks and Snowflake Experience with cloud data solutions on AWS (RDS, Redshift, DMS, Glue, S3, Lambda) and general cloud practices Knowledge of data integration, processing, streaming and messaging techniques Familiarity with GitHub, JIRA and Confluence; CI/CD practices strong communication problem-solving cross-functional collaboration AWS (RDS, Redshift, DMS, Glue, S3, Lambda) Databricks Snowflake
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