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.