Data Product Manager at Arcadia

Job description

Who We Are Arcadia is the AI-powered energy intelligence platform for businesses. We replace fragmented tools and manual workflows with one platform to pay utility bills, buy energy, and advance sustainability — across every location, at enterprise scale. Trusted by Fortune 2000 companies, Arcadia combines unified data, AI-powered analytics, and expert advisory to help enterprise teams save money, mitigate risk, and cut carbon . We deliver this through three comprehensive solutions: Utility Bill Management: Automating the entire utility bill lifecycle — from data capture and validation to payment processing and auditing. Energy Procurement Advisory : Bringing together comprehensive data, AI-powered analytics, market expertise, and a strong partner network to make sophisticated procurement options accessible to all. . Sustainability Reporting — Verified emissions data with seamless integration into leading sustainability platforms. Tackling the world's most complex energy challenges requires diverse thinking. We're building teams of people from different backgrounds, industries, and disciplines — united by a belief that energy management should be simple, intelligent, and a genuine driver of business value. WHAT WE'RE LOOKING FOR 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 depende Eliminating carbon footprints, eliminating carbon copies. Here at Arcadia, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in creating a clean energy future. Arcadia is committed to equal employment opportunities regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation by emailing careers@arcadia.com prior to completing your application.. Target Annual Compensation Range for this role will be $127,500- $182,750 There will also be a competitive benefits component to the package. The exact compensation at which this job is filled will be determined by the skills, experience, and location of the qualified candidate. Please note that we are unable to offer visa sponsorship for this position at this time. Automated Screening Technology: To ensure a fair and timely review of the high volume of applications we receive, Arcadia may utilize AI-assisted technologies to help our team identify candidates who best meet the qualification criteria for this role (based on skills, experience, and education). Please Note: Automated tools provide recommendations based on your resume content and application questions. While we may use automated screening for basic eligibility (e.g., visa status, location), employment decisions regarding qualifications are not made solely by AI without human oversight. Data Privacy & California Residents: You voluntarily provide personal information (such as your resume, contact details, and assessment responses) when submitting an application. We may use this to evaluate your candidacy and derive inferences from this data to match your profile with open roles. For California Residents: This collection is consistent with the CCPA. You have the right to request access to or deletion of your data by contacting careers@arcadia.com. Thank you

Requirements

Must-haves

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.
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-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiapiml

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

Pto

Professional Development