Vice President, Data and Business Intelligence

Job Title: Director of Data & Analytics

Location: Remote US Employment Type: Full-time Reports to: Chief Financial Officer

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Compensation

• Base Salary: $275,000 - $330,000
• Additional Compensation: Bonus and Equity

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About Huntress

Huntress is a fully remote, global team of passionate experts and ethical badasses on a mission to break down the barriers to cybersecurity. Whether creating purpose-built security solutions, hunting down hackers, or impacting our community, our people go above and beyond to change the security game and make a real difference.

Founded in 2015 by former NSA cyber operators, Huntress protects all businesses—not just the 1%—with enterprise-grade, fully owned, and managed cybersecurity products at the price of an affordable SaaS application. The Huntress difference is our One Team advantage: our technology is designed with our industry-defining Security Operations Center (SOC) in mind and is never separated from our service.

We protect 3M+ endpoints and 1M+ identities worldwide, elevating under-resourced IT teams with protection that works as hard as they do. As long as hackers keep hacking, Huntress keeps hunting.

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Position Overview

The Director of Data & Analytics will develop and implement a comprehensive data and analytics strategy that aligns with and enhances overall business priorities. This role will provide guidance and direction for our data architecture and develop data governance to ensure the integrity of business data across the company. You will be a primary driver of delivering data and insights to educate and influence key business decision-making, developing a deep understanding of the business to drive necessary information and recommendations for a healthy, high-growth business. This is a player/coach role where you will lead, guide, mentor, and manage a team responsible for consolidating and mining multiple sources of data, deriving actionable insights, and translating complex results into simple conclusions and recommendations.

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Responsibilities

• Data Strategy & Architecture:
  • Work across the organization to understand business needs and critical data/analytical requirements.
  • Enhance and iterate on the data architecture strategy to support company-wide analysis and reporting.
  • Integrate multiple data sources into a data lake.
  • Understand the interconnectivity of data from both a data flow and business metrics perspective.
  • Identify the appropriate data "sources of truth" for business information.
• Advanced Analytics & Insights:
  • Drive the development and implementation of advanced analytics models, machine learning algorithms, and AI to extract valuable insights from data.
  • Create data models, definitions, and governance.
  • Establish clear definitions of metrics, business levers, and data inputs.
• Team Leadership & Communication:
  • Lead and coach the data & analytics team to design and build automated analytics tools and self-service dashboards.
  • Clearly and simply communicate the outcomes of complex analyses to identify, analyze, and drive recommendations and insights around key business levers.
  • Lead, guide, mentor, and manage the team in their data mining and insight generation efforts.
• Business Partnership & Analysis:
  • Develop in-depth business, analytical, and systems knowledge to improve/build analytical solutions, approaches, and business recommendations.
  • Partner effectively with teams across the company to track, measure, predict, and analyze:
    • Marketing and sales funnel dynamics, Go-To-Market spend, efficiency, attribution, and return on investment across various programs.
    • Addressable market, key customer attributes, and buying behaviors.
    • Customer health dynamics, segmentations, retention behaviors, and predictability.
    • Product cost, including cloud consumption and product usage.
    • Financials and business metrics in support of operational, board, and investor reporting.

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Requirements

• Proven experience developing and implementing comprehensive data and analytics strategies.
• Strong understanding of data architecture, data governance, and data modeling.
• Expertise in advanced analytics, machine learning, and AI techniques.
• Experience building and managing data lakes.
• Demonstrated ability to lead, mentor, and manage a team of data professionals.
• Excellent communication skills with the ability to translate complex data into simple, actionable recommendations for business stakeholders.
• Deep understanding of business operations and key performance indicators across various functions (Marketing, Sales, Product, Finance).
• Experience with marketing attribution, customer segmentation, and financial analysis.
• Player/coach mentality with a willingness to be hands-on.

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Application Instructions

Please refer to the application portal for specific instructions.