Senior Director Data & Analytics

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.