Product owner

Job Description

Job Description:

This role is accountable for defining and communicating product vision, translating business needs into actionable data science work, prioritizing delivery, and ensuring solutions are feasible, scalable, and aligned with enterprise strategy.

Primary Responsibilities:

Define and own the product vision and roadmap for analytics, ML, and GenAI initiatives.

Act as the primary interface between, Business partners, Data scientists, ML engineers, Platform and infrastructure teams.

Help teams navigate trade-offs between model complexity vs. performance, cost, and scalability.

Ensure GenAI and ML initiatives are grounded in real business value, not technology experimentation alone.

From Manager: Ideal candidate for this role would be someone who has data science and AI experience. Really looking for someone who can explain the process step-by-step but also knows how to do it hands on.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

Required Qualifications

5+ years of experience as a Product Owner, Product Manager, or in a similar role supporting analytics, data science, AI/ML, or advanced analytics initiatives

Demonstrated ability to translate business problems into data-driven solutions, including defining success metrics and acceptance criteria

Experience working in Agile, Scrum, or SAFe delivery environments

Comfortable collaborating closely with data scientists, ML engineers, data engineers, and platform teams

Strong communication and stakeholder management skills, with the ability to engage both technical and non-technical audiences Preferred Qualifications

Familiarity with machine learning, GenAI, or advanced analytics use cases, including model experimentation and deployment considerations

Experience with data platforms, cloud analytics environments, or AI/ML production pipelines

Understanding of model governance, risk management, and compliance processes, particularly in regulated environments

Background in analytics, data science, engineering, or quantitative disciplines

Experience operating in highly regulated enterprise environments