HighLevel · 1 day ago
Senior Director - Data Science & Analytics
United States
Full-time
Remote
Director/Executive
12+ years expHighLevel 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. As the Senior Director of Data Science & Analytics, you will lead the modeling, experimentation, and analytics disciplines to transform how the company understands customers and drives growth.
AdvertisingCRME-Commerce PlatformsMarketing
Responsibilities
Own HighLevel’s end-to-end data science and product analytics strategy, focused on modeling, experimentation, and insight generation, built on the company’s governed data platform
Build and lead a global team spanning data science, applied ML, decision science, and product analytics, partnering closely with data engineering and platform teams to ensure scalability and reliability
Collaborate cross-functionally with Product, Growth, Marketing, and Engineering to ensure experiments, models, and insights directly inform product development, GTM decisions, and customer outcomes
Leverage the modern data stack (Snowflake, dbt, Atlan, Hex, etc.) to enable advanced analytics, causal inference, and machine learning at scale
Oversee product analytics, defining how user behavior, engagement, and retention are measured, instrumented, and interpreted
Build and scale experimentation and A/B testing frameworks, ensuring statistical rigor and consistent methodology across 50+ product and marketing teams
Establish self-serve experimentation tools and centralized KPI definitions to accelerate data-driven product development
Partner with product leadership to translate analytics insights into roadmap prioritization, UX improvements, and feature impact assessments
Design, train, and productionize predictive and prescriptive models that optimize retention, churn, pricing, lead scoring, and campaign automation
Collaborate with platform teams to build and maintain feature stores, model registries, and evaluation pipelines for reproducibility and compliance
Integrate machine learning and generative AI into the HighLevel platform to enhance personalization, automation, and user productivity
Define and monitor model performance metrics (e.g., precision, recall, uplift, business ROI) and ensure continuous retraining and quality control
Partner with GTM, Finance, and Operations to quantify the impact of models, experiments, and analytics on revenue, efficiency, and customer lifetime value
Deliver predictive dashboards, simulations, and causal analyses that complement BI reporting and drive strategic decisions
Build forecasting and optimization systems that connect directly to core business metrics like MRR, churn, LTV/CAC, and NPS
Provide the analytical backbone for IPO-readiness through measurable, model-driven insights and defensible forecasting
Define success metrics for all data science and analytics initiatives and track performance against strategic goals
Collaborate with the data platform organization to ensure model governance, lineage, and data quality are enforced within existing pipelines
Evangelize statistical literacy, experimental rigor, and causal thinking across all functions to raise decision-making maturity company-wide
Foster a culture of curiosity, reproducibility, and accountability in every analytics and modeling effort
Qualification
Required
12+ years in data science, analytics, or ML roles, including 5+ years in senior leadership within SaaS or B2B2C companies
Proven track record establishing and growing data science and product analytics teams that translate governed data into actionable models, experiments, and insights driving business growth
Expertise in Python, SQL, R, machine learning frameworks (TensorFlow, PyTorch), with strong applied experience in experimentation, causal inference, and model evaluation
Proven experience leading product analytics, defining instrumentation, event taxonomies, and metric frameworks that tie directly to user behavior and product outcomes
Deep understanding of A/B testing, causal inference, and experimental design at scale (50+ teams, automated frameworks)
Experience operationalizing models with shared feature stores, model registries, and automated retraining pipelines in partnership with data engineering
Experience developing AI-driven product features and operationalizing ML models at scale
Strong understanding of experimentation, attribution modeling, and business intelligence systems
Strategic communicator with the ability to translate complex data into compelling business narratives
Preferred
Experience supporting IPO readiness or large-scale data governance a major plus
Company
HighLevel
HighLevel is a marketing and advertising platform that captures message leads via voicemail, SMS, emails, FB messenger, and more.
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
$60MKey Investors
General AtlanticPeakequity
2024-04-11Private Equity
2021-11-04Private Equity· $60M
Leadership Team
Varun Vairavan
Co-Founder
Joyce Boss
Chief Financial Officer
Recent News
bloomberglaw.com
2025-12-10
EIN Presswire
2025-12-02
2025-11-28
Company data provided by crunchbase