New York Life Insurance Company Logo

New York Life Insurance Company

Corporate Vice President - Data Architect

Reposted 11 Days Ago
Be an Early Applicant
Hybrid
New York, NY
148K-211K Annually
Senior level
Hybrid
New York, NY
148K-211K Annually
Senior level
Design and implement data management strategies, creating scalable data solutions, and collaborating with teams to address business challenges and ensure data integrity.
The summary above was generated by AI
Location Designation: Hybrid - 3 days per week
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.

#LI-CD2
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 hereto 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: 93189
#BI-Hybrid

Similar Jobs at New York Life Insurance Company

Yesterday
Hybrid
148K-211K Annually
Senior level
148K-211K Annually
Senior level
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Design and execute enterprise data architecture strategy, including logical, physical, operational, and analytical data models. Establish data management, governance, quality, privacy, and security standards while supporting scalable cloud data platforms. Collaborate with product owners, architects, engineers, data scientists, and business teams to translate requirements into data solutions. Lead modernization, legacy simplification, performance optimization, integration, streaming, and organizational change initiatives across insurance and financial services data environments.
Top Skills: Amazon RdsAmazon RedshiftAmazon S3APIsAWSAws DmsAws GlueAws LambdaAzureCi/CdConfluenceData LakesData MartsData StreamingData WarehousesDatabricksDimensional ModelingGitJIRAMachine Learning PipelinesMaster Data ManagementMessage QueuingMySQLOraclePostgresRelational DatabasesSnowflake
Yesterday
Hybrid
81K-116K Annually
Senior level
81K-116K Annually
Senior level
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Supports internal and external corporate communications for the Foundational Business, including executive messaging, press releases, intranet content, speaking points, social media, video scripts, presentations, reputation initiatives, and communications measurement. Collaborates cross-functionally across communications teams, analyzes engagement metrics, supports change and culture initiatives, and helps implement GenAI capabilities and continuous improvement.
Top Skills: Employee Pulse SurveysGenerative AiIntranet AnalyticsSocial Media Analytics
Yesterday
Hybrid
100K-143K Annually
Senior level
100K-143K Annually
Senior level
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Manages full-cycle recruiting for professional and individual contributor roles, including sourcing, assessment, interviews, offers, and onboarding support. Partners with hiring managers to develop recruiting strategies, provide market insights, and build diverse talent pipelines. Maintains recruiting systems, monitors metrics, ensures process compliance, and uses AI-enabled tools and automation to improve efficiency, candidate engagement, and hiring outcomes.
Top Skills: Ai-Enabled Recruiting ToolsApplicant Tracking SystemRecruiting AutomationWorkday

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account