Associate Digital Product Manager of Reporting and Insights - Fully Remote

Futures start here. Where first steps, new friendships, and confident learners are born. At Kinder Care Learning Companies, the first and only early childhood education provider recognized with the Gallup Exceptional Workplace Award, we offer a variety of early education and child care options for families. Whether it’s Kinder Care Learning Centers, Champions, or Crème de la Crème, we build confidence for kids, families, and the future we share.

And we want you to join us in shaping it—in neighborhoods, at work, and in schools nationwide.

At Kinder Care Learning Companies, you’ll use your skills and expertise to support the work (and fun) that happens in our sites and centers every day. From marketers and strategists to financial analysts and data engineers, and so much more, we’re all passionate about crafting a world where children, families, and organizations can thrive.

The Associate Product Manager – Reporting & Insights supports the agile provision of enterprise reporting, data, and analytical solutions. In this role, you will work closely with collaborators throughout the organization to clarify reporting requirements. You will also help translate business questions into data and reporting solutions that support daily and strategic decision-making.

This role supports the maintenance of the team-level product backlog and contributes to quarterly roadmap planning for Enterprise Reporting & Insights. You will help define epics and user stories. You will detail requirements along with the conditions for approval. You will partner with business systems analysts and BI engineers to support reporting and analytics delivery. You will gain experience working within a dynamic product environment committed to iterative development while developing skills in gathering requirements, prioritization, and cross-functional collaboration.

Success in this position requires strong communication skills, attention to detail, a willingness to learn, and the ability to work across technical and business teams. You will be encouraged to help convert business needs into clear requirements and provide collaborators with updates and the effects of progress with mentorship and support from experienced product executives.

• Partner with product managers, data architects, and BI teams to assist in providing enterprise insights and data visualization solutions.
• Work with stakeholders to understand reporting needs and help identify effective data visualizations for decision-making, in partnership with our reporting analysts.
• Develop an understanding of business processes, data flows, and key performance indicators (KPIs).
• Translate business requirements into clearly articulated user scenarios and validation conditions with mentorship from senior product leaders.
• Support maintenance and refinement of the product backlog at the team level, including prioritization and updates.
• Represent collaborators’ needs by clearly communicating requirements and feedback to teams passionate about data insights and analysis.
• Define and communicate priorities, progress, and outcomes to stakeholders.
• Review completed work to ensure it meets defined acceptance criteria and business requirements.
• Collaborate with data governance and technical teams to ensure adherence to data standards and quality practices.
• Capture and incorporate collaborator feedback to support continuous improvement of reporting tools and data analysis solutions.

• 1–3 years of experience in a product, business analysis, analytics, or related role supporting agile delivery teams, preferably in reporting and data product spaces.
• Exposure to Databricks, cloud data warehouses, or AWS-based data platforms through reporting, analytics, or product support work.
• Experience supporting product backlogs and roadmaps in an agile environment, including writing or refining user stories and acceptance criteria.
• Exposure to data and analytics products such as enterprise reporting, dashboards, or analytics use cases.
• Knowledge of data architectures or systems (e.g., data lake, data warehouse, or lakehouse concepts).
• Experience working with BI and reporting tools such as…