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VP, Data & Analytics

About Us:

HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 1 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users  with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 15 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million domain names.

 

Our People

With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home.

 

Our Impact

As of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen.

 

 

Who You Are 

HighLevel is building a platform where data and AI power every customer experience and business decision. As Vice President, Data, you will lead HighLevel’s end-to-end data strategy, transforming data into a core competitive advantage across product, growth, and operations.

You will lead and scale HighLevel’s global data organization, overseeing the data platform, data engineering, analytics, and data science functions.Your mission is to make HighLevel a data-native platform, where trusted data powers product innovation, intelligent automation, and every strategic decision across the company.

Working at the intersection of platform engineering, product, and company strategy, you will build the systems, capabilities, and culture that enable HighLevel to scale its data advantage across the entire ecosystem.


The Role

HighLevel is building a platform where data and AI power every customer experience and business decision. As Vice President, Data, you will lead HighLevel’s end-to-end data strategy, transforming data into a core competitive advantage across product, growth, and operations.

You will lead and scale HighLevel’s global data organization, overseeing the data platform, data engineering, analytics, and data science functions.Your mission is to make HighLevel a data-native platform, where trusted data powers product innovation, intelligent automation, and every strategic decision across the company.

Working at the intersection of platform engineering, product, and company strategy, you will build the systems, capabilities, and culture that enable HighLevel to scale its data advantage across the entire ecosystem.


What You’ll Lead
Data Strategy

Define and execute HighLevel’s data strategy, establishing the vision for how data powers the platform, from internal decision-making to intelligence embedded directly within customer workflows. 

You will define and scale the operating model that enables effective collaboration between data, product, engineering, and business teams, ensuring clear ownership boundaries, strong governance, and trusted data foundations that drive product innovation, operational efficiency, and long-term competitive advantage.

As a strategic advisor to the executive team, you will translate complex data into clear narratives about product performance, customer behavior, and growth opportunities, helping shape company priorities and strategic investments.

Data Foundations

Position data as a core strategic capability across HighLevel by establishing trusted business and product metrics, strong governance standards, and a scalable operating model for data quality and consistency. 

You will ensure Highlevel operates on a single, reliable definition of key metrics and partners closely with Product, Engineering, Finance, Growth, and RevOps leadership to embed data insights into roadmap prioritization, business planning, and company strategy.

Product Intelligence & Analytics

Establish the analytical frameworks, measurement systems, and data science capabilities that enable product teams to understand user behavior, evaluate product changes, and make confident, data-informed decisions.

You will ensure product leaders have a trusted view of adoption, engagement, retention, and customer lifecycle performance, while identifying high-impact opportunities for predictive modeling, experimentation, and AI-driven features that improve product experiences and drive measurable business impact.

Organizational Leadership

Build and lead a high-performing data organization, setting standards for analytical rigor, data governance, and technical excellence.

You will mentor and develop leaders across analytics engineering, product analytics, and data science while creating a culture where data-driven thinking is embedded across the company. 


What You’ll Bring
  • 15+ years of experience in data, analytics, AI, or related fields, with a strong track record in technology-driven organizations

  • 7+ years leading and scaling data organizations in high-growth SaaS or technology companies

  • Proven success building and developing multi-disciplinary teams across analytics, data science, and data engineering

  • Experience shaping modern data and analytics ecosystems that support product innovation, revenue insights, and operational decision-making

  • Strong understanding of experimentation frameworks, statistical methods, and applied AI/ML systems

  • Deep familiarity with SaaS growth metrics, product analytics, and customer lifecycle measurement

  • Experience delivering AI-powered product capabilities and data-driven features at scale

  • Demonstrated ability to partner with Product, Engineering, and executive leadership to influence product strategy and business outcomes

  • Exceptional communication skills with the ability to translate complex data into clear strategic insights for executives and board stakeholders

  • Experience supporting organizations through rapid scaling, hyper-growth, or IPO readiness is strongly preferred


The salary range for this position is   $331000 -  $462000 annually. (Bonus Pay included)

 

EEO Statement:

The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government record keeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.

 

#LI-Remote #LI-CR1

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Average salary estimate

$396500 / YEARLY (est.)
min
max
$331000K
$462000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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Full-time, remote
DATE POSTED
April 9, 2026
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