cover image
PatientPoint®

Data Product Manager

Hybrid

Cincinnati, United states

$ 132,000 /year

Junior

Internship

27-01-2026

Share this job:

Skills

Communication Leadership Jira SQL Data Visualization Data Governance Stakeholder Management Scrum Product Management Prioritization Decision-making Architecture Data Architecture Machine Learning Organization Azure AWS Marketing cloud platforms Confluence Agile Analytics Analytical Thinking GCP Snowflake Data Science

Job Specifications

Join PatientPoint to be part of a dynamic team creating change in and around the doctor’s office. As a leading digital health company, we innovate to positively impact patient behaviors. Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide.

Location: Cincinnati, OH (Hybrid) or Remote

Job Summary  
We are seeking a highly motivated Data Product Manager to join our Data & Analytics team. This role is critical in leading the development, evolution, and success of our data solutions, serving as the primary representative of the Data team, actively engaging cross-functional leaders to understand strategic priorities, influence key decisions, and drive impactful solutions across various business domains. You will act as a bridge between business owners, data analysts, data engineers, and other stakeholders to ensure that our data solutions align with business goals, deliver value, and support data-driven decision-making across the organization. 

What You’ll Do  

Product Ownership: 

Own the roadmap, and backlog for one or more data solutions (e.g., data platforms, dashboards, machine learning pipelines, etc.). 
Manage and prioritize intake of data requests. 
Translate high-level goals and business needs into functional requirements, user stories, and project briefs.  
Serve as the voice of the customer for internal data consumers (analysts, marketing, operations, etc.). 
Create and optimize process diagrams for scalable workflows and data quality measures. 

 

Stakeholder Collaboration: 

Work closely with business stakeholders to gather and prioritize requirements. 
Collaborate with Data Engineers, Analysts, Scientists, and cross-functional teams to define solution scope and delivery timelines. 
Communicate strategy, updates, and performance to leadership and other stakeholders. 
Support adoption of new data solutions, processes, or strategies across the organization. 

 

Data Product Lifecycle: 

Define and monitor success metrics for data products (e.g., reliability, latency, adoption). 
Ensure data quality, integrity, security, and governance in solution design. 
Conduct acceptance testing, approve releases, and launch release notes. 
Lead backlog prioritization, refinement, and team workload. 
Support daily standups and ensure updates, needs, and decisions are shared and documented for Data Leadership and stakeholders.   

 

Strategic Influence: 

Identify opportunities to create business value through data insights and automation. 
Stay informed on data architecture, modern data stacks, and analytics tooling. 
Advocate for a culture of exploration, analytics, and data-informed decision-making. 

 

Documentation, Governance & Standards: 

Support implementation of data governance strategy, standards, metrics and best practices.  
Support process to maintain SOPs, guides, and data documentation. 

 

What We Need  

Bachelor's degree in business, Computer Science, Information Systems, or a related field. 
3–6 years of experience in technical product management, data analytics, or a related technical role. 
Proven experience working with data teams or leading data and analytics projects. 
Strong understanding of data platforms, including ETL/ELT processes, data warehouse solutions (e.g., Snowflake) and transformation frameworks (e.g., dbt). 
Experience with data visualization tools (e.g., Looker) to deliver actionable insights and support data-driven decision making. 
Excellent communication and stakeholder management skills. 
Experience with Agile/Scrum methodology and tools like JIRA and Confluence. 

 

Desired Qualifications  

Experience with tools like Lucidchart, Visio, Jira, Confluence, or similar. 
Knowledge of master data management (MDM), data governance, and data quality frameworks. 
Familiarity with cloud data platforms (e.g., Snowflake, AWS, Azure). 
Experience with data cataloging tools (e.g., Collibra, Atlan, Informatica). 
Background in data science, computer science, or engineering. 
Familiarity with cloud platforms (AWS, GCP, Azure) and modern data ecosystems. 
Ability to use SQL to help inform decisions, develop requirements, and monitor solutions. 
Experience in healthcare, finance, or other data-regulated industries. 

 

What You'll Need to Succeed 

Ability to play a key role in creating trusted data assets that drive strategic decisions. 
Strong analytical thinking to identify and address challenges effectively. 
Nimble business mindset, focused on developing creative solutions. 
Ability to navigate through ambiguity to drive clarity for data initiatives. 

 

Base Salary Band: $115,000 - $132,000

Compensation: At PatientPoint, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including skills, qualifications, geographic location, and profes

About the Company

PatientPoint® is a leading digital health company that connects patients, healthcare providers and life sciences companies with the right information in the moments care decisions are made. Our solutions are proven to influence patient behavior and improve health outcomes, driving value for all stakeholders. Across the nation’s largest network of connected digital devices in 35,000 physician offices, PatientPoint solutions empower better health for millions of patient visits each year. Learn more at patientpoint.com. Know more