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Associate - Associate Product Owner, AI & Data

 

Location Designation: Hybrid - 3 days per week 

 

 

This entry-level role serves as an Associate Product Owner in the AI & Data (AI&D) product management organization, supporting product requirements development, roadmap management, and backlog execution. You will work alongside experienced product managers and cross-functional teams across data engineering, data governance, data science, and data analytics. You’ll gain exposure to business partners across New York Life—including Recruiting & Development, Sales, Service, Investment Advisory, and Technology—while building foundational product management skills in a dynamic AI and data environment. This role offers strong growth potential for individuals interested in building a career in AI and data product management within a regulated financial services organization.

 

What You’ll Do:

  • Support product definition, roadmap planning, and agile delivery across AI & Data initiatives
  • Assist with execution support by managing product backlogs, writing user stories, and supporting sprint planning with scrum teams
  • Help document business problems, gather user feedback, and support the creation of functional requirements and technical specifications
  • Maintain JIRA user stories, tasks, and supporting documentation, ensuring backlog items are clearly defined and properly prioritized
  • Support communication and coordination between AI&D teams, business partners, and technology stakeholders
  • Participate in product demos, reviews, and stakeholder meetings
  • Track product metrics such as adoption, utilization, and user satisfaction
  • Create reports and dashboards to measure and communicate product effectiveness
  • Actively participate in agile ceremonies, including sprint planning, daily standups, sprint reviews, and retrospectives
  • Develop expertise in AI products, data platforms, and product management best practices through hands-on experience and mentorship

 

What You’ll Bring:

  • Bachelor’s degree in Engineering, Computer Science, Data Science, Business, or a related field
  • 0–2 years of professional experience in product management, business analysis, consulting, or technical roles
  • Demonstrated interest in AI, data, and technology through coursework, projects, internships, or self-study
  • Familiarity with generative AI and large language models (e.g., ChatGPT, Claude) through academic or personal use
  • Basic understanding of data concepts, including databases, APIs, and analytics
  • Exposure to Agile methodologies and project management concepts
  • Strong analytical and problem-solving skills with attention to detail
  • Excellent written and verbal communication skills
  • Ability to collaborate effectively within cross-functional teams
  • Self-motivated learner who is comfortable asking questions and seeking feedback
  • Proficiency with common productivity tools such as Excel, PowerPoint, and documentation platforms

 

Preferred Qualifications

  • Internship or academic project experience related to AI/ML, data analytics, or product development
  • Coursework or certifications in product management, data science, or AI/ML
  • Familiarity with JIRA, Confluence, or similar project and backlog management tools
  • Understanding of financial services products or experience in regulated industries
  • Experience with SQL, Python, or data visualization tools
  • Prior experience gathering requirements or writing user stories
  • Participation in product management competitions, case studies, or product launches

Pay Transparency

Salary Range: $66,500-$95,500 

Overtime eligible: Nonexempt 

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: 93357

About NY Life Insurance Company

Diversity & Humanity–two values that are deeply rooted in the New York Life culture and have laid the foundation for over 175 years of commitment to our employees, agents, policy owners, and the communities where we live and work. At New York Life you become a valued part of a welcoming, inclusive, and caring culture that has a long-standing legacy in stability and growth. The strength of New York Life revolves around our diversified, multi-dimensional business portfolio that goes beyond life insurance, and we want you to be a part of our legacy.

As a Fortune 100 company and industry leader, we provide an environment where you can explore your career ambitions, offering opportunities to tackle meaningful challenges and stretch your skills while balancing work and life priorities. You will be part of a diverse team guided by our belief to always be there for each other–providing the support and flexibility to grow and reach new heights while making an impact in the lives of others.

You are our future, and we commit to investing in you accordingly.

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.

Required Legal Notices – All Candidates Please Click Here


Nearest Major Market: Manhattan
Nearest Secondary Market: New York City

Job Segment: Outside Sales, Social Media, Computer Science, Sales, Marketing, Technology, Entry Level

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