Data Product Manager

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 professional experience, which can cause your compensation to vary. The base salary range listed is just one component of PatientPoint’s total compensation package for employees. For additional details on our total benefits package, please review the section “About PatientPoint” at the end of this job description.