Vice President, Data and Business Intelligence

Reports to: Chief Financial Officer 

Location: Remote US

Compensation:$275,000 to $330,000 base plus bonus and equity 

 

What We Do:

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.

What You’ll Do:

You will develop and implement a comprehensive data and analytics strategy that aligns with and enhances overall business priorities. You will provide guidance and direction for our data architecture and develop data governance to ensure the integrity of business data across the business.  

You and the team will be the primary drivers of delivering the data and insights that will educate and influence key business decision-making across our business. You will develop a deep understanding of the business to help drive the necessary information and recommendations to support a healthy, high-growth business. You excel at being a player/coach and 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 that will empower the business to take action.

What You’ll Be Responsible For: 

• Working across the organization to understand the business and the most important areas of data and analytical needs. You and your team will be responsible for:
• Enhancing and iterating on our data architecture strategy to support company-wide analysis and reporting
• Driving the development and implementation of advanced analytics models and machine learning algorithms, and AI to extract valuable insights from data
• Integrating multiple data sources into a data lake, 
• Understanding the interconnectivity of the data from both a data flow and business metrics perspective
• Creating data models, definitions, and governance, and
• Establishing clear definitions of metrics, business levers, and data inputs 

• Leading the data & analytics team to design and build automated analytics tools and self-service dashboards to enhance decision-making, operational efficiency, and Go-To-Market and customer success.
• Lead and coach the team to clearly and simply communicate the outcomes of complex analyses that identify, analyze, understand, and can drive recommendations and insights around key business levers.
• Developing in-depth business, analytical, and systems knowledge to improve/build analytical solutions, approaches, and business recommendations. You and your team will effectively partner with teams across the company to track, measure, predict, and analyze such items as:
• 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
• Identifying the appropriate data “sources of truth” for business information and metrics to ensure accurate and consistent data and definitions, ensuring the integrity of data flows between systems, and analyzing and understanding our business's key levers. 
• Create policies and ensure adherence to all applicable data security, privacy, and security standards and regulations in alignment with the Company’s policies while balancing data accessibility.
• Working with your team in partnership with leaders across the organization to enhance and iterate on our data architecture strategy to support company-wide analysis and reporting, and determine an AI decision-making strategy that fits the business needs as we go forward. 

What You Bring To The Team: