Corporate Vice President - Data Architect

Location: New York

Job

Requisition  Designation:
Hybrid - 3 days per week Business Unit Technology, Data, AI and Ventures (TDAV)
Within the Tech, Data, AI, Ventures (TDAV) organization, our work is guided by a shared vision: deploying the power of technology, data, AI and ventures to accelerate sustainable competitive advantage for New York Life's businesses. We build solutions that power how we serve policy owners, agents, advisors and employees while delivering measurable business outcomes.

Across technology, data, AI, cyber, product, digital experience, architecture and infrastructure, TDAV combines the scale and investment of an industry leader, access to leading-edge technologies and the opportunity to help shape how a world-class financial services company competes in the AI era — all backed by the stability and purpose of a mutual company built to last.

Corporate Vice President - Data Architect We are seeking an energetic and passionate Senior Data Architect to design and execute our company’s modern data management strategy. As a key member of Enterprise Data team, you will collaborate with Data Product Owners, Data Scientists, Data Engineers, and end-users to reimagine, design, and build the next generation of cloud-based insurance solutions using cutting-edge technologies like AWS, APIs, and AI.

What You’ll Do:

Design scalable and efficient Logical and Physical data models for enterprise data products storage solutions and lines of businesses

Design operational and analytical data models

Develop data management frameworks and standards to ensure data integrity, quality, and security.

Works closely with Data Product Managers, Value Stream architects, Data engineers to understand the business problems, desired outcomes using data strategy and translating these requirements into data solutions.

Create and maintain inventory and designs of current state data capabilities

Ensure alignment of data models with end-to-end data architecture including performance tuning to adhere to SLAs.Demonstrated experience as a change agent, successfully leading and implementing organizational change initiatives that drive transformation and improve business outcomes.

Identify and frame opportunities for consolidation / simplification of legacy technologies, data stores, and applications.

Build subject matter expertise to be able to answer business questions as well as support new initiatives from a data knowledge perspective

Enforce data governance policies and procedures as part of the data model

Stay up to date with the latest industry trends and technologies in data management.

Identify opportunities for improvement and innovation within the existing data infrastructure.

Ensure data solutions comply with relevant data privacy and security regulations.

Implement data security measures to protect sensitive information.

What You’ll Bring :8+ years of hands-on experience as a Data Architect for large-scale enterprise solutions, with a strong focus on agile practices.

Deep understanding of modern data architecture, including experience with data lakes, data warehouses, data marts, relational and dimensional modeling, data quality, and master data management.

Strong background in Operational Data Stores, Dimensional Modeling, and supporting application data architecture.

Experience with Oracle, Postgres, MySQL, and understanding of best practice architectural concepts for relational data models.

Experience in designing, deploying, and evaluating tools, frameworks, and patterns for scalable data platforms.

Extensive experience with industry-leading data platform technologies such as Data Lake, Databricks, Snowflake

Experience with database technologies for both structured and unstructured data, ensuring optimal storage and retrieval.

Ext…