Data Product Manager

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

Data Product Manager

We are seekinga 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.

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 monitors 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…