Corporate Vice President - Data Architect

Company: New York Life Insurance Company
Location: Lebanon
Posted on: July 1, 2025

Job Description:

At the heart of New York Life is a commitment to be there for our customers when they need us—whether today or decades into the future. We have delivered on that promise for over 179 years by investing wisely, growing a portfolio of strategic businesses, and remaining true to our mission as a mutual company, accountable only to our customers, not to outside investors. For our customers, that means having the confidence that comes with knowing they can build a better future for themselves and those they love. People come to work at New York Life to contribute to the financial goals of millions of families and businesses each day. We have a diverse, nationwide workforce that allows us to support the communities where we work. Our purpose-driven mind-set has attracted people who want to do good and has resulted in great success for our company and our customers. New York Life is embarking on a significant digital evolution which demands robust digital capabilities, exceptional user experience and connected data. To execute on our strategic plans, we have launched Blueprint. At the heart of this program sits our Operational Model consisting of Value Streams (VS) and Centers for Enablement (C4E) powered by our Scaled-Agile delivery execution model. 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. In this role, you will proactively engage with cross-functional teams, including the Product Managers, key business leaders, Data/Technology leaders, and Value Stream Architects. You will design and support strategic data architecture decisions that shape our enterprise data products, enabling the organization to achieve its future-state business capabilities and target architecture. Additionally, you will be responsible for evaluating existing data pipeline architectures, enhancing foundational elements, participating in product ideation, and providing recommendations for technology stack improvements. Responsibilities What You’ll Do: Design scalable and efficient data architectures that enables enterprise data products, including Logical and Physical data models, storage solutions, and data integration processes. 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 translate these requirements into data product solutions. Create and maintain inventory and designs of current state “data capabilities “supporting the FB and SIB teams. Create an integrated view of end state data architecture and align on target-state data product capabilities and corresponding architectural designs that ensures the strategic alignment of the 6 VS architecture roadmaps. Identify and frame opportunities for consolidation / simplification of legacy technologies, data stores, and applications. Act as a liaison between IT and business units to ensure alignment of data initiatives with business objectives. Monitor and maintain data systems to ensure optimal performance and reliability. Develop and enforce data governance policies and procedures. Stay up to date with the latest industry trends and technologies in data architecture and management. Identify opportunities for improvement and innovation within the existing data infrastructure. Promote best practices in data architecture and data management across the organization. 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. Extensive experience in Data Architecture, Cloud Solutions, emerging technologies, Big Data, Data Modeling, Data Warehousing, and Business Intelligence. Proven ability to design and implement data architectures that define and deliver data as a product. 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. Proficient in cloud architecture and best practices, particularly with AWS Cloud tools such as Amazon RDS, Redshift, AWS DMS, AWS Glue, Amazon S3, AWS Lambda, and more. Proficient in managing large datasets, cloud computing, open-source tools, and optimization techniques. Expertise in overall solution architecture for data platforms built on the cloud. Strong experience in data integration, data processing, data streaming, and message queuing techniques Familiarity with relevant code repository and project tools like GitHub, JIRA, Confluence. Experience with Continuous Integration and Continuous Deployment (CI/CD) processes. Detail-oriented with strong analytical, problem-solving, and organizational skills. Excellent communication skills, capable of effectively conveying complex concepts both technical and business teams. Desired Skills: Solid understanding of the insurance, wealth management or financial services industry Extensive hands-on development experience with Cloud (AWS, Azure) and Storage services are desirable. Knowledge of machine learning pipelines and frameworks is a plus. Experience supporting AI solutions with data product strategy and enabling solutions. Bachelor’s degree in computer science or an Engineering discipline Certification in data management (structure and unstructured), and/or cloud architecture or engineering a plus Certification in delivery methodologies such as Scaled Agile a plus. 10 years of experience in data architecture, data engineering, and cloud tech developing production grade software components and solutions.

Keywords: New York Life Insurance Company, Frederick , Corporate Vice President - Data Architect, IT / Software / Systems , Lebanon, Maryland