Senior Director Marketing Data Science

Ready for a career glow up? The work you do will impact beauty, as you enable data‑driven decisioning, advanced analytics, and machine learning capabilities that drive long‑term client lifetime value and engagement. You'll manage and lead a high‑performing data science team that's united in beauty, supported by those who are equally passionate about personalization, marketing technology, and client‑centric growth. Establish Marketing Data Science as a strategic asset that powers CRM, personalization, and marketing decisioning Lead the development of advanced predictive models including CLV, propensity, churn, and 1:1 client targeting Partner closely with Technology and Machine Learning teams to build best‑in‑class decisioning and data science capabilities Lead a team of 14 (4 direct reports, 10 indirect reports) Own the machine learning roadmap to ensure scalability, operational excellence, and long‑term business value Drive a culture of experimentation through A/B testing and iterative optimization to translate insights into action Lead data foundation and governance efforts for Marketing, ensuring quality, transformation, and enterprise alignment Serve as the center of excellence for Marketing data and analytics needs across the organization Guide innovative CRM and personalization analytics to measure performance and effectiveness Deliver advanced insights that inform client engagement strategy and long‑term growth initiatives Act as a strategic thought partner to senior leaders with broad visibility and enterprise impact Hire, lead, coach, and develop a high‑performing Marketing Data Science team Influence cross‑functional partners through strong storytelling, data fluency, and collaboration 12+ years of experience in marketing data science, analytics, or data architecture leadership roles Deep expertise in statistical modeling, predictive analytics, forecasting, and optimization techniques Demonstrated experience building and scaling machine learning models for CRM and personalization use cases Strong background in lifecycle marketing analytics, segmentation, and client lifetime value modeling Proven ability to lead, inspire, and develop diverse, high‑performing teams Experience influencing and collaborating with senior leaders and cross‑functional partners Excellent written, verbal, and interpersonal communication skills with strong storytelling ability Ability to operate effectively in fast‑paced, ambiguous, and evolving environments Bachelor's degree in Computer Science, Engineering, Analytics, or a related field High level of initiative, adaptability, and problem‑solving mindset Passion for innovation, experimentation, and building scalable data solutions