Revenue Technology – Data Strategy & Operations Lead

🕒 il y a 3 mois

🏄 California, New York, +1 états de plus – Distant

🏄 California – Remote 🗽 New York – Remote 🌲 Oregon – Remote

💵 $142 600 - $178 200 / an

⏰ Temps Plein

🟠 Senior

⚙️ Opérations

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Mercury

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2019

💳 Fintech

💸 Finance

☁️ SaaS

Fintech • Finance • SaaS

Mercury est une entreprise de technologie financière qui propose des services bancaires en ligne pour les entreprises, bien qu'elle ne soit pas elle-même une banque. Elle collabore avec des banques assurées par la FDIC telles que Choice Financial Group, Column N. A. , et Evolve Bank & Trust pour offrir des services bancaires. Mercury a pour objectif de simplifier les opérations financières des startups et entreprises en proposant une gamme de services incluant comptes courants et d'épargne, gestion de trésorerie, cartes corporate, gestion des dépenses, facturation, et automatisation comptable. La plateforme est conçue pour rationaliser diverses tâches bancaires et améliorer les flux financiers avec des fonctionnalités telles que la surveillance des fraudes et la sécurité des comptes. Elle propose également des opportunités d'investissement via son produit Mercury Treasury et un soutien aux startups grâce à sa plateforme Mercury Raise.

Description

• Own the definition, structure, and reliability of data originating from revenue platforms (e.g., Salesforce, GTM tools, automation systems) • Serve as the primary decision owner for GTM-sourced tables and views used for revenue execution, forecasting inputs, lifecycle tracking, and signal-based workflows • Design and evolve core GTM data models across Salesforce, ETL, and analytics layers • Partner with Data Engineering to align GTM schemas with enterprise data models and define clear data contracts between source systems and downstream consumers • Partner with Data Science / Analytics to ensure revenue data is interpretable, statistically sound, and reflects how the business actually operates • Own clarity around data ownership boundaries, shared dependencies, and escalation paths when upstream or downstream changes impact revenue integrity • Define and uphold data quality, freshness, consistency, and documentation standards for revenue platforms • Monitor and improve pipeline reliability, performance, and scalability, proactively identifying fragile or redundant transformations • Identify opportunities to automate manual or error-prone data workflows and reduce operational overhead • Act as a data thought partner to Platforms & Infrastructure, Revenue Operations, Analytics, and Security — advising on feasibility, tradeoffs, and sequencing for data-heavy initiatives

🎯 Exigences

• 7+ years of experience in data engineering or data systems roles within SaaS or technology companies • Deep experience designing and operating production data pipelines • Proficient in SQL and experienced in data modeling • Hands-on experience with modern data stacks (e.g., Snowflake, BigQuery, Redshift) • Experience with ETL / ELT tooling (e.g., dbt, Airflow, Census, or similar) • Understand Salesforce data models and common GTM system architectures • Ability to translate business concepts into durable, well-structured data models • Clear communication with both technical and non-technical partners. • Preferred: Experience supporting revenue, sales, or customer lifecycle data • Familiarity with event-based data platforms (e.g., Data Cloud or equivalents) • Experience working alongside platform engineering and security teams • Exposure to data governance, access controls, and compliance considerations • Experience mentoring or guiding other data practitioners

🏖️ Avantages

• Base salary • Equity • Benefits