Corporate Vice President - Senior Data Architect

$125,000 - $212,500/Yr

New York Life - New York, NY

Full-time - Senior

New York, NY

Insurance Carriers and Related Activities

About the position

The Senior Data Architect will play a crucial role in designing and executing New York Life's modern data management strategy. This position involves collaborating with various teams to create cloud-based insurance solutions using advanced technologies such as AWS and AI. The architect will be responsible for shaping enterprise data products and ensuring alignment with business objectives while promoting best practices in data architecture and management.

Responsibilities

• Design scalable and efficient data architectures for 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.
• Collaborate with Data Product Managers, Value Stream architects, and Data engineers to translate business requirements into data product solutions.
• Create and maintain an inventory of current state data capabilities supporting the FB and SIB teams.
• Develop an integrated view of end-state data architecture and align on target-state data product capabilities.
• Identify opportunities for consolidation and simplification of legacy technologies and data stores.
• Act as a liaison between IT and business units to ensure alignment of data initiatives with business objectives.
• Monitor and maintain data systems for optimal performance and reliability.
• Develop and enforce data governance policies and procedures.
• Stay updated with 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.

Requirements

• 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 to both technical and business teams.

Nice-to-haves

• 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.

Benefits

• Leave programs
• Adoption assistance
• Student loan repayment programs
• Annual discretionary bonus
• Incentive program