About BiOptimizers
At BiOptimizers, our mission is to move people from baseline health to peak biological performance. Rooted in scientific rigor, we design supplements and experiences that empower individuals to excel. Our remote-first team collaborates cross-functionally, blending innovation with results to magnify human potential.
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) for customer
data, 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
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
This is a fully remote position. BiOptimizers has a globally distributed team and supports flexible work arrangements across time zones.
With team members across many countries and time zone differences of up to 16 hours, we’ve established a standard collaboration window from 9:00 AM – 5:00 PM EST.
This is not a required work schedule, but a shared time frame for meetings and team syncs. At BiOptimizers, we support flexibility — team members are encouraged to work the hours that best suit them, as long as they:
Attend required meetings
Communicate effectively across time zones
Deliver work by agreed-upon deadlines
BiOptimizers is committed to diversity and inclusion and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other basis protected by applicable law.
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