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ButterflyMX

VP of Data

ButterflyMX

Vice President of Data leading data transformation at ButterflyMX with a focus on enterprise data strategy. Collaborate across functions to build a high-performing data organization.

Posted 7/24/2026full-timeRemote • 🇺🇸 United StatesLead💰 $250,000 - $300,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in defining and executing enterprise data strategies, with a strong focus on data governance, transformation, and analytics. Capable of leading high-performing data teams and establishing robust data products that drive business performance and decision-making.

Highest-signal resume keywords
Data Strategy DevelopmentSnowflake Data PlatformData Transformation and ModelingBusiness Intelligence PlatformsAI Agent Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringAnalytics EngineeringData ArchitectureSQLDimensional ModelingData Quality EngineeringData GovernanceData Products DesignData Ingestion PlatformsBusiness Metrics Establishment
Soft Skills
Exceptional CommunicationInfluencing Senior ExecutivesCross-Functional CollaborationLeadership and Team Development
Tools & Technologies
FivetranDbtSigmaSalesforce
Industry Keywords
SaaSRecurring-Revenue Business ModelsOperational ReliabilityData ContractsGolden Records

Tech Stack

Tools & technologies
CloudSQL

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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.

Benefits

Comp & perks
  • 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!