Data Product Manager, Arcadia

• 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 itsdata consumers
• Modern Data Stack: Deep understanding of data warehousing, data lakes, ETL/ELT pipelines, and data modeling principles, ensuring data products directly secure objectives
• Data Product Leaderhship: Demonstrated track record for data product specifically
• SQL & Data Proficiency: Hands-on ability to write SQL queries to validate data structures, analyze usage, and troubleshoot platform health
• Architecture Awareness: Knowledge of distributed processing, data streaming, metadata management, and API design for developer tools. Experience with both analytical (OLAP) and transactional (OLTP) frameworks and how to balance their competing demands
• Data Governance & Security: Familiarity with access controls, PII masking, data lineage, and compliance frameworks (such as GDPR and CCPA)
• 5+ years of product management experience, with meaningful time spent on data platforms, data infrastructure, or data model and schema design
• Proven experience writing detailed technical requirements and specs for data models, schemas, or APIs consumed by multiple downstream teams
• Experience partnering directly with data engineers and architects on entity design, normalization, governance, and extensibility tradeoffs
• A track record of managing competing stakeholder requirements across multiple product lines and driving them to a unified solution
• Excellent written and verbal communication skills, with the ability to translate complex technical tradeoffs for both engineering and business audiences
• Experience with agile delivery, including backlog management, sprint planning, and road-mapping

Desirable

• 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
• 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
• Arcadia is open to fully remote candidates and employees have access to co-working spaces