Data Product Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership and lead the requirements for Arcadia’s unified data model.

• Collaborate with engineering to create an architecture that is adaptable for both current and future applications.

• Work alongside organizational leaders to enhance Arcadia’s data strategy.

• Engage with product and engineering teams in areas such as Expense Management, Energy Intelligence, Bill Acquisition, and other data product divisions.

• Collect requirements, identify common entities, and address conflicting schema demands.

• Convert organizational needs into tangible engineering requirements throughout the data lifecycle.

• Define and prioritize the roadmap for the unified data model capabilities.

• Balance immediate feature requests with long-term scalability and governance considerations.

• Assess the business value of requested features.

• Formulate product requirements, specifications, and data contracts for various business use cases.

• Promote the adoption of data governance standards concerning naming conventions, ownership, quality, and documentation.

• Collaborate with data engineering, analytics, and platform engineering teams across acquisition, extraction, storage, and delivery processes.

• Monitor downstream adoption, identify migration risks, and address gaps in data quality and parity.

• Present data model designs and roadmap decisions to engineering and leadership stakeholders.

⛳️ Requirements

• Profound knowledge of data warehousing, data lakes, ETL/ELT processes, and data modeling principles.

• Proven experience in leading data product initiatives.

• Practical expertise in writing SQL queries to validate data structures, analyze usage, and troubleshoot platform performance.

• Understanding of distributed processing, data streaming, metadata management, and API design for developer tools.

• Experience with both analytical (OLAP) and transactional (OLTP) systems.

• Familiarity with access controls, PII masking, data lineage, and compliance standards such as GDPR and CCPA.

• Over 5 years of product management experience, with significant involvement in data platforms, data infrastructure, or data model and schema design.

• Demonstrated experience in writing detailed technical requirements and specifications for data models, schemas, or APIs utilized by multiple downstream teams.

• Experience collaborating with data engineers and architects on entity design, normalization, governance, and the trade-offs of extensibility.

• Proven ability to manage competing stakeholder needs across various product lines and drive them toward a unified solution.

• Exceptional written and verbal communication skills.

• Experience with agile methodologies, including backlog management, sprint planning, and road-mapping.

• Background in energy, utilities, or fintech and expense-management software is a plus.

• Knowledge of utility billing, tariff, or usage data structures is advantageous.

• Familiarity with data governance frameworks, master data management, or data cataloging tools is beneficial.

• Exposure to AI or ML-driven data extraction or classification pipelines is a plus.

• Experience at a company undergoing platform consolidation or M&A-driven system integration is a plus.

• Must be eligible to work in the United States; visa sponsorship is not available for this role.

🏝️ Benefits

• "Remote first" culture - work from anywhere in the continental US, provided you have a reliable internet connection.

• Flexible PTO - no accrued hours or limits on the number of vacation days exempt employees can take each year.

• 11 annual holidays.

• 10 days of sick leave.

• Up to 2 weeks of bereavement leave.

• 2 days off for volunteering.

• 2 professional development days off.

• Parental leave benefits available for all parents.

• 75-95% employer cost coverage for medical, dental, and vision benefits for employees and their dependents.

• A supportive engineering culture that prioritizes diversity, empathy, teamwork, trust, and efficiency.

• Competitive benefits package along with equity components.