VP of Data

🕒 vor 15 Tagen

🇺🇸 Vereinigte Staaten – Remote

💵 $250.000 - $300.000 / Jahr

⏰ Vollzeit

🔴 Experte

👔 Vizepräsident

🦅 H1B-Visum-Sponsor

info

🗣️🇺🇸🇬🇧 Englisch erforderlich

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ButterflyMX

201 - 500 Mitarbeiter

Gegründet 2014

🔐 Sicherheit

🔧 Hardware

🏠 Immobilien

💰 Private Equity Round - ButterflyMX im 2025-01

Security • Hardware • Real Estate

ButterflyMX ist ein Anbieter von integrierten Zugangskontroll- und Sicherheitslösungen für Mehrfamilienhäuser, Gewerbegebäude, Studentenwohnheime und geschlossene Wohnanlagen. Das Unternehmen kombiniert schlanke Hardware – Video-Gegensprechanlagen, Sicherheitskameras, intelligente Schlösser, Tastaturen, Fahrzeugzugangsleser und Paketraumsysteme – mit cloudverwalteter Software, damit Immobilienbesitzer, Verwalter, Bewohner und Besucher den Zugang über Smartphones steuern, Abläufe automatisieren und in bestehende Proptech-Lösungen integrieren können. ButterflyMX konzentriert sich darauf, die Sicherheit zu verbessern, den Betrieb von Gebäuden zu rationalisieren und das Bewohnererlebnis in Tausenden von Immobilien zu verbessern.

Beschreibung

• Define and execute ButterflyMX’s enterprise data strategy. • Prioritize transformation work based on commercial impact, decision value, risk, and organizational leverage. • Balance foundational investments with rapid delivery of visible business value. • Establish the governed data layer, primarily centered on Snowflake, as ButterflyMX’s authoritative source of truth. • Ensure leaders can clearly understand performance, diagnose problems, identify root causes, and act confidently. • Translate business questions into durable analytical systems rather than one-time analyses. • Partner with Finance, Sales, Marketing, Customer Success, Product, and Operations to define the economic and operational relationships that drive company performance. • Identify leading indicators and causal relationships, not merely lagging reports. • Create mechanisms that reveal emerging risks and opportunities before they become obvious in monthly or quarterly reporting. • Improve planning, forecasting, resource allocation, prioritization, and accountability throughout the organization. • Establish a company-wide metric governance framework. • Treat data products with the same rigor applied to strong external software products. • Define users, use cases, adoption goals, trust requirements, service levels, documentation, and success measures for each important data product. • Design data experiences that are intuitive, discoverable, and easier to use than informal alternatives. • Measure adoption, usability, reliability, consumer satisfaction, and decisions influenced. • Build a data organization in which AI agents are a primary working tool, not an experiment or side project. • Remain technically engaged enough to review code, inspect models, prototype solutions, and participate directly when difficult problems require senior judgment. • Engineer data quality into the platform rather than relying on manual review and reconciliation. • Centralize standards, architecture, governance, and core data products while decentralizing responsible usage. • Develop strong partnerships with every major business function. • Lead, develop, and expand a high-performing data organization, beginning with four

🎯 Anforderungen

• 12+ years of progressive experience across data engineering, analytics engineering, business intelligence, data architecture, data products, or related disciplines. • 5+ years leading professional data teams, including experience managing managers or senior technical leaders. • Demonstrated success building or transforming a data function within a growing SaaS or technology company of comparable scale. • Deep experience with modern cloud data platforms, preferably including Snowflake. • Strong experience with data transformation and modeling frameworks such as dbt. • Experience with managed ingestion platforms such as Fivetran and with designing reliable source-to-warehouse pipelines. • Strong experience with business intelligence and self-service analytics platforms such as Sigma. • Deep understanding of dimensional modeling, semantic layers, entity resolution, master data, golden records, data contracts, lineage, observability, and quality engineering. • Experience integrating and governing data from Salesforce and other core SaaS business systems. • Demonstrated ability to establish governed business metrics and resolve cross-functional definition disputes. • Strong commercial understanding of recurring-revenue business models and SaaS operating metrics. • Experience designing data products for executive, operational, analytical, and machine consumers. • Experience supporting planning, forecasting, customer lifecycle analysis, go-to-market analytics, financial reporting, and product analytics. • Personally built and shipped at least one production AI agent or agentic workflow. • Strong understanding of AI-agent evaluation, tool access, context management, observability, permissions, security, and operational reliability. • Hands-on technical capability to write and review SQL, inspect dbt projects, evaluate models, troubleshoot pipelines, and prototype solutions. • Exceptional written and verbal communication. • Demonstrated ability to influence senior executives and drive difficult cross-functional changes. • Bachelor’s or advanced degree in a relevant technical, quantitative, or business field is welcome but not required. Exceptional experience, judgment, and results matter more than credentials.

🏖️ Vorteile

• Comprehensive Medical, Dental and Vision plans (ButterflyMX covers 80% of the cost) starting day 1 • 401(k) plan with a match • 10 paid holidays, 20 vacation days, 5 sick days, 3 floating holidays • Basic Life and Accidental Death and Dismemberment Insurance (ButterflyMX covers 100% of the cost) • Short and Long Term Disability (ButterflyMX covers 100% of the cost) • Paid Family Leave • Employee Assistance Program • Quarterly self-care stipends • Access to optional benefits including pre-tax flexible healthcare spending accounts (FSA and HSA), Dependent Care FSA, and Commuter Benefits, as well as optional Supplemental Life, AD&D, Hospital Indemnity, Legal, Accident, Critical Illness, Pet, and Personal Liability Insurance • And more!

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