ABOUT BIOPTIMIZERS

BiOptimizers exists to help people go from baseline health to peak biological performance. We develop science-backed supplements and wellness tools that deliver measurable results. As a remote-first company, our globally distributed team focuses on clarity, autonomy, and operational excellence. Every role is designed to support the health and performance of both our customers and our organization.

REQUIRED QUALIFICATIONS

• 7+ years of experience in data science, business intelligence, or analytics leadership roles
• Strong proficiency in SQL, Python/R, and statistical modeling with proven track record of building predictive models in business environments
• Extensive experience with modern data stack technologies including Snowflake, Tableau, and cloud-based analytics platforms
• Understanding of AI-powered analytics tools and prompt engineering techniques for enhanced data analysis and automation
• Demonstrated success leading data architecture projects and implementing data warehouse/lake solutions
• Executive-level communication skills with ability to translate complex analytical concepts to non-technical stakeholders
• Experience with e-commerce analytics, customer acquisition cost optimization, and unit economics analysis
• Proven ability to build and lead analytics teams in fast-growing organizations
• Strong project management skills with experience delivering complex, multi-stakeholder data initiatives

PREFERRED QUALIFICATIONS

• Experience with direct-to-consumer (DTC) brands and subscription commerce models
• Familiarity with marketing attribution platforms (Triple Whale, Northbeam, or similar)
• Advanced degree in Data Science, Statistics, Mathematics, or related quantitative field
• Experience in health and wellness, supplements, or consumer products industry
• Knowledge of modern data orchestration tools (Airflow, dbt, etc.)
• Experience with machine learning operations (MLOps) and model deployment in production environments

SOFT SKILLS

• Strategic thinking with ability to see both big picture data strategy and detailed execution requirements
• Strong leadership presence with ability to influence cross-functional teams without direct authority
• Exceptional problem-solving skills with bias toward data-driven solutions
• Commitment to fostering an inclusive and collaborative team culture
• Adaptability to work in fast-paced, high-growth environment with changing priorities

ROLE OVERVIEW

As Director, Business Insights (and AI Data), you will lead the transformation of BiOptimizers’ data ecosystem from raw information into strategic business intelligence. This role combines advanced data science expertise with executive-level stakeholder management to build scalable analytics infrastructure that drives growth across B2C and B2B channels. You will architect data solutions, lead cross-functional analytics initiatives, and establish BiOptimizers as a data-driven organization through predictive modeling and strategic insights.

KEY RESPONSIBILITIES

• Data Architecture & Strategy: Design and implement comprehensive data mart architecture from our Snowflake data lake, organizing B2C and B2B data flows from Dock platform and Gold Lantern analytics
• Stakeholder Leadership: Partner with executive leadership and department heads to translate business requirements into analytical frameworks and data solutions
• Advanced Analytics: Develop predictive models, customer lifetime value algorithms, and data science solutions that drive strategic decision-making across the organization
• Platform Integration: Lead implementation and optimization of attribution platforms (Triple Whale or Northbeam) to provide precise CAC analysis and unit economics tracking
• Data Standardization: Establish and maintain comprehensive data dictionary and standardization protocols across all business units and data sources
• Visualization & Reporting: Oversee Tableau implementation and advanced dashboard development for executive and operational reporting
• AI-Enhanced Analytics: Leverage AI capabilities within Snowflake, Tableau, and attribution platforms through effective prompt engineering and AI-assisted data analysis
• Data Governance & Security: Establish data governance frameworks and ensure compliance with data privacy regulations (GDPR, CCPA), implementing data security protocols and access controls across the data ecosystem
• Marketing Attribution & Customer Journey: Build comprehensive customer journey mapping and multi-touch attribution models to optimize marketing spend across channels, developing cohort analysis and customer segmentation models for personalized marketing strategies
• Operational Analytics: Partner with operations teams to optimize inventory forecasting, supply chain analytics, and demand planning while developing real-time operational dashboards for order processing, fulfillment, and customer service metrics
• Financial Analytics Integration: Collaborate with finance on revenue recognition, subscription analytics, and financial forecasting models, building automated financial reporting and variance analysis for executive leadership
• Experimentation Support: Serve as key stakeholder in A/B testing and experimentation processes, providing statistical frameworks and analytical support to drive data-driven decision making across the organization
• Team Development: Build and mentor a high-performing business intelligence team while establishing best practices for data governance and analytics
• Cross-functional Collaboration: Work closely with marketing, finance, operations, and product teams to identify opportunities for data-driven optimization