Job description

Job Requisition ID: 94704 Location 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. • Extensive hands-on experience in creating STMs • 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. Pay Transparency Salary Range: $147,500-$211,000 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program. Company Overview At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact. Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress. As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it. Our Benefits We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site . Our Commitment to Inclusion At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life’s leadership in this space. Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation . We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com . Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities. Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees’ needs. Job Requisition ID: 94704

Requirements

Must-haves

Job Requisition ID: 94704
Location Designation: Hybrid - 3 days per week
Business Unit
Technology, Data, AI and Ventures (TDAV)
Corporate Vice President - Data Architect
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.

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.

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Keywords to mirror

aiawsagilepostgresjiraci/cdazuremachine learning

Platform: eightfold
Effort: medium

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