EverCommerce - Data Product Owner

EverCommerce is seeking a Data Product Owner to lead the delivery of our data intelligence platform. This role is central to how we communicate key business performance indicators to senior leadership, including our CEO, CFO, Board of Directors, and business unit heads. 

As the Data Product Manager, you will be responsible for defining the roadmap for enterprise reporting, ensuring consistent and timely delivery of accurate data, and acting as the subject matter expert on EverCommerce’s core KPIs. You’ll work cross-functionally with FP&A, business operations, data engineering, and executive stakeholders to prioritize initiatives, clarify business needs, and ensure alignment across reporting processes. 

Key Responsibilities 

• Own the Enterprise Reporting Roadmap: Define and manage the strategic direction of high-level reporting products used across the company, with a focus on usability, accuracy, and executive alignment. 

• Lead KPI Stewardship: Act as the SME on all enterprise KPIs – ensuring consistency, clarity, and documentation of definitions and methodologies. 

• Drive Cross-Functional Delivery: Collaborate with analytics, FP&A, and data engineering teams to ensure timely and accurate delivery of quarterly and monthly reporting packages (e.g., for Earnings Calls and Board meetings). 

• Stakeholder Management: Serve as the primary point of contact for senior leaders regarding enterprise reporting needs, data interpretation, and roadmap prioritization. 

• Reporting QA & Governance: Own the QA process and change management protocols for all executive reporting assets to ensure a high standard of data integrity. 

• Continuous Improvement: Identify gaps in data availability, reporting processes, and visualization tools, and work to drive improvements that scale across EverCommerce’s portfolio of businesses. 

Skills and Experience needed for success in this role:

• 5+ years of experience in product management, data analytics, or business intelligence, preferably in a multi-brand or enterprise environment 

• Proven experience leading cross-functional data initiatives with executive visibility 

• Deep understanding of business KPIs, financial metrics, and operational reporting 

• Strong project management skills, with experience developing roadmaps and managing stakeholder expectations 

• Excellent communication skills – able to translate complex data topics into clear business language for senior audiences 

• Familiarity with BI tools (e.g., Power BI, Tableau), data platforms (e.g., Snowflake, dbt), and cloud platforms (e.g., AWS, GCP) is a plus 

• Experience in the Payments domain - familiarity with tools, compliance requirements, standards, etc. is a big plus

Where: This is a fully remote, US based position with minimal to no travel required. You may be asked to travel up to 4 times per year for quarterly planning. The EverCommerce team is distributed globally, with teams in the U.S., Canada, the U.K., Jordan, New Zealand, and Australia. With a widely distributed team, we are used to working remotely across different time zones. This role can be based anywhere in the United States or Canada – if you’re close to one of our offices, we can set you up in-office or you can work 100% remotely. Please note that you must be eligible to work without sponsorship to qualify for this position, and this role may require travel to our Corporate Headquarters in Denver, Colorado, or to other office locations around North America.

Benefits and Perks:

• Flexibility to work where/how you want within your country of employment – in-office, remote, or hybrid

• Continued investment in your professional development 

• Day 1 access to a robust health and wellness benefits package, including an annual wellness stipend. 

• 401k with up to a 4% match and immediate vesting 

• Flexible and generous (FTO) time-off 

• Employee Stock Purchase Program  ​

Compensation: The target base compensation for this position is $90,000 to $105,000 USD per year in most US locations. Final offer amounts are determined by multiple factors including location, local market variances, and candidate experience and expertise, and may vary from the amounts listed above.