Data Product Manager

Emploi pas sur LinkedIn

🕒 il y a 13 jours

🇺🇸 États-Unis – Télétravail

💵 $127 000 - $175 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

✅ Responsable Produit

🗣️🇺🇸🇬🇧 Anglais requis

D'où vient cette offre

Publiée sur la page carrières de Arcadia, pas via un site d'emploi

Repérée par Remote Rocketship il y a 13 jours

Toujours ouverte sur le site de Arcadia. Vérifiée il y a 2 heures.

Logo of Arcadia

Arcadia

501 - 1000 employés

Fondée en 2014

💼 Conseil

🏥 Santé

📦 Logistique

Consulting • Healthcare • Logistics

Arcadia est une plateforme de référence qui permet aux entreprises de tirer parti des solutions d’énergie propre grâce à des outils avancés d’analyse et de gestion des données des fournisseurs d’énergie. Fondée en 2014, Arcadia propose une plateforme intégrée de données énergétiques qui aide les entreprises à optimiser leur consommation d’énergie, à s’approvisionner en énergie propre et à atteindre leurs objectifs de développement durable. Ses services comprennent notamment la gestion des factures d’énergie, le conseil en approvisionnement énergétique et le reporting en matière de développement durable, afin d’aider les organisations à appréhender efficacement la complexité du secteur de l’énergie.

Description

• Own and drive requirements for Arcadia’s unified data model • Partner with engineering to design an architecture extensible across current and future use cases • Partner with organizational leaders to mature Arcadia’s data strategy • Work with product and engineering leads across Expense Management, Energy Intelligence, Bill Acquisition, and other data product teams • Gather requirements, identify shared entities, and resolve competing schema needs • Translate organizational needs into actionable engineering requirements across the data lifecycle • Define and prioritize the unified data model capabilities roadmap • Balance near-term feature requests against long-term extensibility and governance • Evaluate the business value of desired features • Define product requirements, specifications, and data contracts for business use cases • Drive adoption of data governance standards for naming, ownership, quality, and documentation • Collaborate with data engineering, analytics, and platform engineering across acquisition, extraction, storage, and delivery layers • Track downstream adoption, identify migration risks, and resolve data quality and parity gaps • Present data model design and roadmap decisions to engineering and leadership stakeholders

🎯 Exigences

• Deep understanding of data warehousing, data lakes, ETL/ELT pipelines, and data modeling principles • Demonstrated track record for data product leadership • 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 • 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 • Track record of managing competing stakeholder requirements across multiple product lines and driving them to a unified solution • Excellent written and verbal communication skills • Experience with agile delivery, including backlog management, sprint planning, and road-mapping • Experience in energy, utilities, or fintech and expense-management software is nice to have • Familiarity with utility billing, tariff, or usage data structures is nice to have • Experience with data governance frameworks, master data management, or data cataloging tools is nice to have • Exposure to AI or ML-driven data extraction or classification pipelines is nice to have • Experience at a company going through platform consolidation or M&A-driven system integration is nice to have • Must be able to work in the United States; visa sponsorship is unavailable for this position

🏖️ Avantages

• "Remote first" culture - work anywhere in the continental 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 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 • Competitive benefits and equity component to the package

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