Data Product Manager

Role Description

We’re seeking a strategic, technically fluent Data Product Manager to join the Utility Data Platform team. This person will own the requirements and roadmap for Arcadia’s unified data model: the extensible data architecture that powers Expense Management, Energy Intelligence, Bill Acquisition, and every other data product built on the Arcadia platform. The ideal candidate is equally comfortable in a data model diagram, a stakeholder alignment meeting, and a roadmap review, and can turn many teams’ competing data needs into one coherent, extensible model that serves the needs of its data consumers. Preference for Candidates in DC or NY Locations

What You'll Do

• Own and drive requirements for Arcadia’s unified data model, partnering with engineering to design an architecture that is extensible across current and future use cases.
• Partner with leaders across the organization to mature our data strategy and solidify Arcadia’s position as the data-driven thought leader in the utility space.
• Partner with product and engineering leads across Expense Management, Energy Intelligence, Bill Acquisition, and other data product teams to gather requirements, identify shared entities, and resolve competing schema needs.
• Translate ambiguous organizational needs into actionable engineering requirements throughout the entire data lifecycle, from new source ingestion through consumer BI, Data-as-a-Service, and product API use cases.
• Define and prioritize the roadmap for unified data model capabilities, balancing near-term feature requests against long-term extensibility and governance while evaluating the business value of the desired features.
• Define the product requirements that specs and data contracts that satisfy the business use cases, partnering with data engineering on authoring where needed.
• Drive adoption of data governance standards (naming, ownership, quality, docs) with data engineering.
• Collaborate with data engineering, analytics, and platform engineering to ensure the model scales across acquisition, extraction, storage, and delivery layers.
• Track adoption of the unified model across downstream products, identify migration risks, and drive resolution of data quality and parity gaps.
• Present data model design and roadmap decisions to engineering and leadership stakeholders.

Nice-to-Have

• Experience in energy, utilities, or fintech and expense-management software.
• Familiarity with utility billing, tariff, or usage data structures.
• Experience with data governance frameworks, master data management, or data cataloging tools.
• Exposure to AI or ML-driven data extraction or classification pipelines.
• Experience at a company going through platform consolidation or M&A-driven system integration. Extra points if you’ve learned what extensible data architecture looks like in the wild.

Benefits

• "Remote first" culture - work anywhere in the US as long as you have a reliable internet connection.
• Flexible PTO - no accrued hours and no limit on the number of vacation days exempt employees can take each year.
• 11 annual holidays.
• 10 days sick leave.
• Up to 3 weeks bereavement leave.
• Up to 4 weeks of caregiver leave.
• Military leave for eligible services or events.
• 2 volunteer days off.
• 2 professional development days off.
• 10 weeks paid parental bonding leave for all parents and additional medical recovery time for eligible employees.
• 75-95% employer cost coverage for medical, dental, and vision benefits for employees and dependents.