Product Owner

MEM; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

MEM Insurance is seeking a Product Owner – Data & Analytics who can bridge business needs and technical teams to deliver data products, reporting solutions, and analytics capabilities that empower better decision-making across MEM.

In this remote role, you\'ll collaborate with data engineers, analysts, and business leaders, maintain a prioritized product backlog, define user stories, support governance, and champion a data-driven culture while coordinating occasional travel to the MEM Home

Qualifications

• 3-5 years in business analysis, systems analysis, product ownership, or a related role.
• Experience in Agile or product-centric environments preferred.
• Experience supporting data governance initiatives.

Responsibilities

• Bridge between business stakeholders and Data & Analytics teams, ensuring clear requirements.
• Maintain and prioritize backlog for data products and analytics enhancements.
• Translate business needs into well-defined user stories and acceptance criteria.
• Support Agile ceremonies and monitor progress, dependencies, and risks.
• Collaborate with data engineers, analysts, and architects to ensure feasible solutions.

Skills

Product ownership

Agile

Data governance

Stakeholder collaboration

Education

Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Business Analytics, or related field

Job description

Are you passionate about turning business needs into data solutions that drive real impact? MEM Insurance is seeking a Product Owner – Data & Analytics to help shape and deliver data products, reporting solutions, and analytics capabilities that empower better decision-making across the organization.

In this highly collaborative role, you will serve as the bridge between business stakeholders and technical teams, ensuring data initiatives are clearly defined, prioritized, and delivered with excellence. You will partner with data engineers, analysts, and business leaders to transform challenges into actionable solutions while helping drive adoption, continuous improvement, and a stronger data-driven culture across MEM.

This is an exciting opportunity for a professional who enjoys blending business analysis, Agile product ownership, data governance, and stakeholder collaboration to create meaningful business outcomes.

Location: Remote, with occasional travel to MEM Home Office in Columbia, Missouri.

Why Join MEM Insurance?

At MEM Insurance, we believe people do their best work when they feel supported, valued, and empowered. We are committed to creating a workplace where employees can thrive professionally and personally while making a meaningful impact on the businesses and communities we serve.

Our culture is built on collaboration, trust, accountability, innovation, and service. We encourage curiosity, continuous learning, and teamwork while giving employees opportunities to grow their careers and contribute in meaningful ways. Every employee plays an important role in helping us deliver exceptional experiences for our policyholders, agents, and partners.

As a member of our Data & Analytics team, you'll have the opportunity to influence how information is leveraged across the organization, helping teams make smarter decisions and drive business success through reliable, accessible, and impactful data solutions.

Essential Duties and Responsibilities

Product Ownership & Delivery

• Serve as the primary liaison between business stakeholders and the Data & Analytics team.
• Maintain, refine, and prioritize the backlog for data products, reporting solutions, and analytics enhancements.
• Translate business needs into well-defined user stories, requirements, and acceptance criteria.
• Ensure work items are actionable, prioritized appropriately, and aligned with departmental goals.
• Participate in Agile ceremonies, including sprint planning, backlog refinement, and solution reviews.
• Monitor progress, identify dependencies, and elevate risks when appropriate.

Stakeholder Engagement & Collaboration

• Partner with business leaders and stakeholders to understand challenges, opportunities, and reporting needs.
• Collaborate with data engineers, analysts, and architects to ensure solutions are feasible, effective, and aligned with user expectations.
• Provide business context and user scenarios that support data modeling, reporting, visualization, and pipeline development.
• Participate in solution design discussions and help ensure successful delivery of business value.

Data Governance & Data Asset Management

• Lead MEM's data governance efforts and support the organization's journey toward a stronger data-driven culture.
• Maintain documentation related to data assets, including definitions, metadata, ownership, and dependencies.
• Support consistency, quality, and alignment across data products and reporting solutions.
• Monitor existing data assets and identify opportunities for enhancement, optimization, or retirement.

Quality Assurance & Validation

• Develop and execute user acceptance testing (UAT) plans and test scenarios.
• Validate solutions to ensure accuracy, usability, and alignment with documented requirements.
• Document issues, coordinate resolution efforts, and verify successful remediation.
• Support implementation activities and monitor early production performance and adoption.
• Assist in developing release communications, user guides, training materials, and supporting documentation.
• Facilitate or support training sessions that help users maximize value from new data capabilities.
• Gather and analyze feedback to identify future enhancements and improvement opportunities.
• Help define and monitor key performance indicators that measure business value, adoption, and effectiveness.
• Provide recommendations that support ongoing improvement of tools, processes, and delivery practices.

Qualifications

Education

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Business Analytics, or a related field preferred.

Licenses

• Valid driver's license required.

Experience

• 3-5 years of experience in business analysis, systems analysis, product ownership, or a related role.
• Experience working within Agile or product-centric environments preferred.
• Experience supporting or leading data governance initiatives preferred.
• Experience gathering requirements and translating business needs into actionable deliverables.
• Experience collaborating with cross-functional stakeholders to deliver technology or data-related solutions.

Company Culture and Values

At MEM Insurance, we are committed to our vision, mission, and values. We foster a culture of collaboration, integrity, and innovation. Our team is passionate about delivering exceptional service to our customers while supporting each other’s growth and success. We believe in accountability, continuous learning, and creating an environment where employees feel valued and empowered.

Diversity Statement

MEM Insurance is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We believe that varied perspectives drive innovation and strengthen our ability to serve our customers and communities.

Total Rewards Overview

• Health Plans: Medical, Dental, and Vision
• Includes fertility benefits, fully paid preventative care, and adult orthodontia.
• Annual Performance Based Bonus
• Employer-Paid Life and Disability Benefits:
• Life Insurance (3x base salary), AD&D, Short and Long-term Disability.
• Wellness and Recognition Program: Employer-paid incentives for employees and spouses.
• Flexible Spending Account and Dependent Care options
• Time Away from Work:
• Generous PTO, 9 Holidays + 4 Early Releases, 16 Hours Volunteer Time Off, 20 Days Paid Parental Leave, Marriage, Bereavement, and Jury Duty leave.
• Employee Assistance Programs
• 401k Retirement Plan: Employer match and profit sharing.
• Adoption Assistance and Tuition Assistance

Notice Regarding Use of Artificial Intelligence

MEM may use artificial intelligence (AI) tools to more efficiently facilitate and assist in decisions involving recruitment, hiring, promotion, renewal of employment, selection for training or apprenticeship, discharge, discipline, tenure, or the terms, privileges, or conditions of employment. Any such use of AI tools will comply with all applicable laws.