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 integrated 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 across Expense Management, Energy Intelligence, Bill Acquisition, and various other data product groups.

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

• Convert organizational requirements into actionable engineering specifications throughout the data lifecycle.

• Establish and prioritize the roadmap for the capabilities of the unified data model.

• Weigh immediate feature requests against long-term scalability and governance considerations.

• Assess the business value of requested features.

• Articulate product requirements, specifications, and data contracts for business scenarios.

• Promote adherence to data governance standards regarding naming conventions, ownership, quality, and documentation.

• Work in conjunction with data engineering, analytics, and platform engineering across acquisition, extraction, storage, and delivery stages.

• Monitor downstream adoption, pinpoint migration risks, and address data quality and consistency issues.

• Present design decisions and roadmap updates for the data model to engineering and leadership stakeholders.

⛳️ Requirements

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

• Proven history of leadership in data product initiatives.

• Practical experience in writing SQL queries to verify data structures, evaluate usage, and diagnose platform performance.

• Familiarity with distributed processing, data streaming, metadata management, and API design for developer tools.

• Background in both analytical (OLAP) and transactional (OLTP) frameworks.

• Awareness of access controls, PII masking, data lineage, and compliance frameworks 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 ability to write detailed technical requirements and specifications for data models, schemas, or APIs utilized by multiple downstream teams.

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

• Proven track record of managing competing stakeholder needs across various product lines and leading them to a cohesive solution.

• Outstanding written and verbal communication skills.

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

• Familiarity with the energy, utilities, or fintech sectors, as well as expense-management software, is a plus.

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

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

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

• Experience in a company undergoing platform consolidation or M&A-related 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 as long as you have a reliable internet connection.

• Flexible PTO - no accrual of hours and no limit on the number of vacation days exempt employees can take annually.

• 11 holidays per year.

• 10 days of sick leave.

• Up to 2 weeks of 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 their dependents.

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

• Competitive benefits package along with an equity component.