Value Stream Information Architect, Corporate Vice President

Location Designation: Hybrid 

 

 

When you join New York Life, you’re joining a company that values career development, collaboration, innovation, and inclusiveness. We want employees to feel proud about being part of a company that is committed to doing the right thing. You’ll have the opportunity to grow your career while developing personally and professionally through various resources and programs. New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture.

 

 

Overview: New York Life is in search of a forward-thinking, seasoned outcomes-oriented Information Architect to architect the foundation of our data design enabling specific Value Streams and related business objectives. As an integral member of the Chief Data Officer's team, this role will champion, standardize and evolve the enterprise's information architecture for structured data, ensuring cohesion and integrity across both Value Stream and enterprise domains. If you are someone who thrives in a fast-paced, transformative data-driven environment, this is the opportunity for you.

 

Responsibilities of this role include providing expert-level information architecture capabilities including applying enterprise standards, development of conceptual and logical data models for Value Stream specific data domains, coordinating impacts to enterprise information architecture, and engaging data engineers to communicate business data requirements and models enabling solution development.

 

Responsibilities also include evaluating commercial platforms for data model integrity, driving the establishment of “golden sources” of enterprise data, and owning the key business decisions throughout the lifecycle of data domains (sourcing, appropriate use, data quality goals, retention, etc).

 

Success in the role will be measured by the degree to which information architecture capabilities and data domains are matured and employed to support the objectives of New York Life business priorities, and enable technology solutions including transactional systems, BI analaytics, data science and emerging GenAI solutions.

 

Key Accountabilities:

• Apply information architecture standards and develop robust conceptual and logical data models for Value Stream data domains and relevant reference data enabling applications/ transactions and consumption (BI/analytics, data science, Gen AI)
• Own the key business decisions throughout the lifecycle of Value Stream data domains (sourcing, appropriate use, retention, etc)
• Liaise with Technology data engineers to convey business data requirements and models
• Evaluate and ensure data model integrity across commercial platforms, fostering the establishment of believed data sources
• Conduct assessments of current Value Stream data domain statuses and envision their desired future states, orchestrating roadmaps to bridge any existing gaps
• Cultivate strong relationships with key stakeholders across business and technology functions, promoting a data-driven culture
• Advocate the importance and role of data governance, ensuring data is recognized and managed as a critical asset
• Ensure alignment to the emerging Enterprise Unstructured Taxonomy and assist in it’s development
• Contribute as a member of Communities of Practice - virtual organizations that meet regularly to share ideas, best practices, and promote a culture where data are managed as an asset of the company
• Remain abreast of emerging industry trends and innovations related to data management.

 

Skills and Experience required:

• Proven track record in devising and executing information architecture strategies in complex business settings.
• Profound expertise in data cataloging, curation, conceptual and logical data modeling.
• Comprehensive understanding of various data management facets, including transactional data, metadata management, BI/analytics, and Gen AI.
• A fervent advocate for data governance's role in harnessing data as an asset.
• Hands-on experience in a Data/Dev Ops role, automating data quality processes.
• Profound knowledge of the data intricacies in life insurance and financial services sectors (preferred), including working knowledge of Insurance Application Architecture (IIA) and/or ACORD Framework
• Proven experience in a Scaled Agile framework.
• Proven experience in a Scaled Agile framework.
• Aptitude for assessing business requirements, problem-solving, and modeling current and future business processes with clear data domain/entity links.
• Strong collaboration, communication, and influence skills, fostering connections across diverse teams and stakeholders.
• Acumen in basic project management: pla