Senior Associate - Business/Technical Analyst

New York Life•New York, NY

3d•$81,000 - $115,500•Hybrid

About The Position

As a Senior Business/Technical Analyst within New York Life’s Tech, Data, AI and Ventures organization, this role serves as a liaison between business and technology teams, translating business needs into scalable and effective technology solutions. The analyst supports initiatives involving internal and external systems and applies a broad understanding of products, processes, enterprise applications, data, and integrations to help achieve business outcomes. The role analyzes business needs and processes, assesses end-to-end impacts across application ecosystems, and collaborates with business and technology teams to define business requirements and translate them into functional and system requirements. It also manages backlog prioritization and refinement in line with the definition of ready, and supports validation against the definition of done to ensure solutions meet business, compliance, and technical expectations. The position is intended for an experienced analyst with at least seven years of experience who can contribute to complex enterprise-wide initiatives, including new insurance product launches, product enhancements, enterprise master data, application management, and modernization. The work is hybrid, with three days per week in the designated location.

Requirements

At least 7 years of business and/or technical analysis experience.
Knowledge of life insurance products, processes, and operations.
Experience delivering enterprise-scale projects or initiatives.
Strong data mapping, translation/standardization, and data analysis skills in complex application ecosystems with multi-tier architectures consisting of web and legacy applications.
Experience working in Agile environments using JIRA and Confluence.
Working knowledge of API concepts, integrations, and system interfaces.
Strong communication, presentation, and stakeholder collaboration skills.
Strong analytical and problem-solving capabilities.
Ability to manage multiple priorities, work proactively and independently, and contribute as part of a team.
Hands-on experience as a business analyst or product owner, including enterprise-scale projects impacting multiple applications, data mapping, and working knowledge of APIs and system integrations.

Nice To Haves

Experience with enterprise master data management projects.
Familiarity with AWS services and cloud-based solutions.
Experience working in both Agile and Waterfall methodologies on complex projects.
Experience with life insurance products and business processes across Term, Whole Life, Universal Life, and Variable Life.
Familiarity with annuity, long-term care, and disability insurance products.
Bachelor’s degree in Business, Technology, or a related field.

Responsibilities

Collaborate and act as a liaison between business and technology teams to align on requirements and deliverables, including dependencies and impacts across application ecosystems.
Champion shift-left processes by coordinating with upstream and downstream application teams to ensure business requirements are understood and reduce requirement and design gaps.
Elicit, analyze, and document business processes, workflows, and requirements through workshops, walkthroughs, and use-case analysis.
Translate business needs into clear, complete, and testable functional specifications aligned with enterprise standards.
Serve as a subject matter expert, providing guidance and direction to remove roadblocks.
Collaborate with cross-functional teams to design scalable solutions, including data mapping and API integration considerations.
Support validation and testing to ensure solutions meet business, compliance, and technical requirements.
Troubleshoot issues, analyze business and system challenges, and recommend solutions.
Support project delivery by tracking milestones and ensuring deliverables are completed accurately and on time.
Contribute to Agile delivery by managing the user-story lifecycle, including prioritization, refinement, validation, and acceptance, and supporting sprint activities using JIRA and Confluence.
Identify opportunities for process improvement, automation, and system integration to improve operational efficiency.