Senior Director Data & Analytics

Posted Yesterday
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Hiring Remotely in San Diego, CA, USA
In-Office or Remote
220K-240K Annually
Senior level
Beauty
The Role
Leads Curology’s enterprise data strategy, infrastructure, architecture, customer data platform, analytics, experimentation, and data science functions. Builds scalable pipelines and governance, develops predictive and prescriptive models, advances experimentation, establishes executive dashboards and KPI frameworks, and ensures data quality, security, PII compliance, and responsible AI use. Partners with Product, Engineering, Marketing, Clinical, Finance, and executive leadership while scaling a high-performing analytics and data science team.
Summary Generated by Built In

The mission of the Senior Director, Data & Analytics is to build the data foundation and analytical engine that powers every major decision at Curology — from how we acquire and retain patients to how we deliver personalized, science-backed care at scale. Reporting to [TBD] (with the reporting structure expected to evolve as the organization continues to grow), this role owns Curology's data infrastructure, architecture, and customer data platform, and leads a team spanning analytics, experimentation, and data science to turn subscriber and clinical data into decisions the business can act on.

Success in this role means using peripheral vision to connect data strategy to broader business outcomes across Product, Engineering, Marketing, Clinical, and Finance, and translating ambiguous business questions into rigorous, testable models. The Senior Director thinks in systems, governance, experimentation, and enterprise decision-making — balancing an ambitious data roadmap with sound judgment about what the business actually needs to trust and act on.

Essential Functions and Impact Areas

Data Strategy & Architecture

  • Define and execute the enterprise data strategy for Curology, aligning insights and models with enterprise-wide goals in growth, retention, patient care, and profitability.
  • Own and evolve the data stack, including pipelines, tooling, and architecture, ensuring reliability, scalability, and accessibility.
  • Guide the design and implementation of scalable data infrastructure in collaboration with Engineering to prioritize performance, advanced analytics, and security.
  • Collaborate with Data Engineering to ensure scalable, secure, and accessible data infrastructure that supports advanced analytics and self-serve needs.

Customer Data Platform & Personalization

  • Lead ongoing development and governance of the customer data platform, aligning platform capabilities with personalization, compliance, and marketing needs.
  • Develop predictive and prescriptive models that support lifecycle marketing, personalization, retention optimization, and LTV forecasting.

Team Leadership & Culture

  • Lead, mentor, and scale a high-performing team of analysts and data scientists, fostering a culture of curiosity, collaboration, and continuous improvement.
  • Act as a thought leader and culture carrier, promoting data fluency and analytical thinking across all levels of the company.

Experimentation & Decision Support

  • Advance experimentation capabilities by formalizing test-and-learn methodologies and driving rigor in experiment design, execution, and analysis.
  • Establish executive dashboards and KPI frameworks that provide visibility into business health and performance across key domains.
  • Understand and evaluate AI-generated data, ensuring model outputs are interpretable, accurate, and actionable for business decision-making across product, marketing, and patient experience.

Governance, Compliance & Cross-Functional Partnership

  • Own efforts for data quality, governance, and PII compliance in coordination with Legal and Engineering to ensure integrity in both day-to-day decisions and long-term modeling.
  • Partner closely with executive leadership, Marketing, Product, Finance, and Operations to identify high-leverage opportunities and deliver analytics that inform strategic decisions.
  • Stay current on analytics innovation, AI/ML advancements, and industry benchmarks to evaluate tools and techniques that elevate our capabilities.

Requirements

Required Qualifications

  • 12-15 years of experience in analytics, data engineering, or data science, with at least 5 years in people leadership roles.
  • Deep experience in a high-growth, consumer-facing technology environment (DTC, ecommerce, healthtech, or subscription business preferred).
  • Proven ownership of modern data stack, including pipelines, orchestration, and data warehouse platforms (e.g. Snowflake, BigQuery).
  • Mastery of modern analytics tools and programming languages (e.g., SQL, Python, dbt, Looker, Tableau).
  • Strong grasp of experimental design, cohort analysis, predictive modeling, attribution methodologies, and growth diagnostics.
  • Proven ability to operate at both strategic and hands-on levels, comfortable building executive narratives and jumping into datasets when needed.
  • Clear, confident communicator with the ability to translate complexity into clarity for non-technical audiences.
  • High integrity, low ego, and a builder's mindset. You are focused on what drives results for the business and the team.
  • Working familiarity with AI tools (e.g., Claude, ChatGPT, Gemini) and demonstrated strong judgment applying them to analytics work such as modeling, reporting, and executive narratives, with accountability for reviewing and validating outputs before use.

Benefits

Location

Remote (US)

Benefits & Perks

  • 💰 Competitive compensation and equity package (RSUs)
  • 🥼 Comprehensive benefits: Medical, dental, vision, FSA and HSA, supplemental coverages (critical illness, accident, hospitalization), and 401(k)
  • 🧘🏻‍♀️ Access to wellbeing perks, including OneMedical, Spring Health, SoFi, and Employee Assistance Program
  • 🌴 Flexible paid time off and holiday policy
  • 🐣 Paid parental leave (birthing and non-birthing parents)
  • 💜 Employee donation matching program
  • 🫱🏻‍🫲🏽 Culture Committee and employee resource groups for virtual and in-person connectivity
  • ✨ Complimentary VIP Subscription to Curology or Agency, plus online retail discount

The estimated base salary range for this role is $220,000-$240,000 per year, plus a competitive equity package and benefits. Actual compensation will be determined based on several factors, including location, skills, experience, and job-related expertise.

Our Typical Interview Process*

*Subject to change based on role

  • 30 minute Recruiter screen (phone)
  • 30-45 minute interview with a Hiring Manager (Google Meet or Zoom)
  • 30-45 minute technical assessment, case study, or peer interview(s) (Google Meet or Zoom)
  • 30-45 minute final round interview with Hiring Manager or Team Leader (Google Meet or Zoom)

Candidates Using AI

At Curology, we invest in responsible use of AI tools to help our teams innovate and solve challenges. Please feel free to use AI to:

  • Refine and polish your application materials
  • Research Curology and the role
  • Prepare for your interviews

Please refrain from using AI tools during live interviews, unless our hiring team has instructed you otherwise. (Note: These guidelines do not apply to reasonable accommodations. If you require a reasonable accommodation at any point during our interview process, please notify your recruiter.)

Curology's Operating Principles

  • One Curology, One Team
  • Be Candid, Then Commit
  • Lead with Curiosity
  • Trust but Verify
  • Use Peripheral Vision
  • Move Quickly, Think Deeply
  • Protect Trust at Every Touchpoint

Equal Employment Opportunity: Curology provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any kind. Employment decisions are made without regard to race, color, religion, creed, ancestry, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, genetic information, disability status, military or veteran status, or any other characteristic protected by federal, state, or local law.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Curology is committed to creating an inclusive environment where all team members feel welcomed, supported, and empowered to do their best work.

Fair Chance Statement: In accordance with the San Francisco Fair Chance Ordinance and other applicable laws, Curology will consider qualified applicants with arrest and conviction records for employment in a manner consistent with those requirements.

CCPA Notice: As required under the California Consumer Privacy Act (CCPA), applicants residing in California can review our Privacy Notice to California Employees, Contractors and Applicants to learn more about how we collect and use personal information.

Disclaimer: This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee. Duties, responsibilities, and activities may change at any time with or without notice.

Skills Required

  • 12–15 years of experience in analytics, data engineering, or data science
  • At least 5 years of people leadership experience
  • Experience in a high-growth, consumer-facing technology environment
  • Experience with modern data stacks, including pipelines, orchestration, and data warehouses such as Snowflake or BigQuery
  • Proficiency with SQL, Python, dbt, Looker, and Tableau
  • Experience with experimental design, cohort analysis, predictive modeling, attribution methodologies, and growth diagnostics
  • Ability to operate strategically and hands-on, including executive storytelling and dataset analysis
  • Strong communication skills for translating complex topics to non-technical audiences
  • Working familiarity with AI tools such as Claude, ChatGPT, or Gemini, including validating outputs
  • Experience in DTC, ecommerce, healthtech, or subscription businesses
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The Company
HQ: San Francisco, CA
423 Employees
Year Founded: 2014

What We Do

Clear skin can be life-changing, but it's not easy to see a dermatologist. At Curology, we provide prescription medications custom-formulated for each patient's skin and shipped directly to their door. We tailor the entire Curology experience specifically for patients with acne and anti-aging concerns, allowing us to provide incredibly personalized, effective and affordable care at scale. We’ve assembled a committed team of dermatology providers and created a secure online platform, bringing professional acne care and prescription treatment to tens of thousands of people who wouldn’t otherwise be able to access or afford it. Curology helps people see tremendous, long-term improvements previously accessible only to a small percentage of the population. Our formulas are already on tens of thousands of sinks across the US. Our technology enables 1:1 chats with real dermatology providers and lets users to share their journeys with an engaged and growing community. Members can upload photos and track their progress over SMS, as well as browse and post digital postcards to share victories and encourage others. Curology is headquartered in the Embarcadero neighborhood of San Francisco and has a second office in San Diego

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