VP of Data

This is a fully remote position, open to applicants in United States.

📋 Description

• Define and implement ButterflyMX’s enterprise data strategy.

• Prioritize transformation initiatives based on commercial impact, decision value, risk, and organizational leverage.

• Balance foundational investments with the swift delivery of visible business value.

• Establish the governed data layer, primarily focused on Snowflake, as ButterflyMX’s definitive source of truth.

• Ensure that leaders can easily understand performance, diagnose issues, identify root causes, and take decisive actions.

• Convert business inquiries into sustainable analytical systems rather than one-time analyses.

• Collaborate with Finance, Sales, Marketing, Customer Success, Product, and Operations to define the economic and operational relationships that enhance company performance.

• Identify leading indicators and causal connections, rather than just relying on lagging reports.

• Develop mechanisms that highlight emerging risks and opportunities before they become apparent in monthly or quarterly reports.

• Enhance planning, forecasting, resource allocation, prioritization, and accountability across the organization.

• Create a company-wide metric governance framework.

• Treat data products with the same rigor as successful external software products.

• Define users, use cases, adoption objectives, trust requirements, service levels, documentation, and success metrics for each significant data product.

• Design data experiences that are intuitive, easily discoverable, and more user-friendly than informal alternatives.

• Measure adoption, usability, reliability, consumer satisfaction, and the impact on decision-making.

• Build a data organization where AI agents are a primary working tool, rather than an experiment or side project.

• Stay technically involved enough to review code, assess models, prototype solutions, and engage directly when complex problems require senior judgment.

• Integrate data quality into the platform instead of relying on manual review and reconciliation.

• Centralize standards, architecture, governance, and core data products while decentralizing responsible usage.

• Forge strong partnerships with all major business functions.

• Lead, develop, and grow a high-performing data organization, starting with four team members.

⛳️ Requirements

• 12+ years of progressive experience in data engineering, analytics engineering, business intelligence, data architecture, data products, or related fields.

• 5+ years of experience leading professional data teams, including managing managers or senior technical leaders.

• Proven success in building or transforming a data function within a growing SaaS or technology company of comparable scale.

• Extensive experience with modern cloud data platforms, preferably including Snowflake.

• Strong proficiency with data transformation and modeling frameworks such as dbt.

• Experience with managed ingestion platforms like Fivetran and in designing reliable source-to-warehouse pipelines.

• Significant experience with business intelligence and self-service analytics platforms like Sigma.

• Deep understanding of dimensional modeling, semantic layers, entity resolution, master data, golden records, data contracts, lineage, observability, and quality engineering.

• Experience in integrating and governing data from Salesforce and other core SaaS business systems.

• Proven ability to establish governed business metrics and resolve cross-functional definition disputes.

• Strong commercial insight into recurring-revenue business models and SaaS operating metrics.

• Experience in 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 developed and deployed 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 skills.

• Proven ability to influence senior executives and drive challenging cross-functional changes.

• A bachelor’s or advanced degree in a relevant technical, quantitative, or business field is preferred but not required; exceptional experience, judgment, and results are valued more than credentials.

🏝️ Benefits

• Comprehensive Medical, Dental, and Vision plans (ButterflyMX covers 80% of the cost) starting from day one.

• 401(k) plan with a matching contribution.

• 10 paid holidays, 20 vacation days, 5 sick days, and 3 floating holidays.

• Basic Life and Accidental Death and Dismemberment Insurance (ButterflyMX covers 100% of the cost).

• Short and Long Term Disability Insurance (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 much more!