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

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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 add