Note: The job is a remote job and is open to candidates in USA. Arcadia is an AI-powered energy intelligence platform that helps businesses manage utility bills, energy procurement, and sustainability at enterprise scale. The Data Product Manager will own the requirements and roadmap for Arcadia’s unified data model, partnering with engineering and product teams to create an extensible architecture and drive data governance, adoption, and quality across the platform.
Responsibilities
- 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
Skills
- Deep understanding of data warehousing, data lakes, ETL/ELT pipelines, and data modeling principles, ensuring data products directly support business objectives
- Demonstrated track record of product leadership for the data function specifically
- Hands-on ability to write SQL queries to validate data structures, analyze usage, and troubleshoot platform health
- 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
- 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 roadmapping
- 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 continental US as long as you have a reliable internet connection
- Employees have access to co-working spaces
- 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 2 weeks bereavement leave
- 2 volunteer days off
- 2 professional development days off
- Parental Leave Benefits for ALL parents
- 75-95% employer cost coverage for medical, dental, and vision benefits for employees and dependents
- A supportive engineering culture that values diversity, empathy, teamwork, trust, and efficiency
- Equity component
- Bonus if applicable
Company Overview