Head of Data & AI

About the Company e.l.f. Beauty, Inc. stands with every eye, lip, face and paw. Our deep commitment to clean, cruelty free beauty at an incredible value has fueled the success of our flagship brand e.l.f. Cosmetics since 2004 and driven our portfolio expansion. Today, our multi-brand portfolio includes e.l.f. Cosmetics, e.l.f. SKIN, pioneering clean beauty brand Well People, Naturium, high-performance, biocompatible, clinically-effective and accessible skin care, and our newest brand, rhode, a line of curated skincare essentials, formulated for a variety of skin types and needs with high performance ingredients, it’s a daily routine that nourishes your skin barrier over time. In our Fiscal year 25, we had net sales of $1 Billion and our business performance has been nothing short of extraordinary with 29 consecutive quarters of net sales growth. We are the #2 mass cosmetics brand in the US and are the fastest growing mass cosmetics brand among the top 5. Our total compensation philosophy offers every full-time new hire competitive pay and benefits, bonus eligibility (200% of target over the last six fiscal years), equity, flexible time off, year-round half-day Fridays, and a hybrid 3 day in office, 2 day at home work environment. We believe the combination of our unique culture, total compensation, workplace flexibility and care for the team is unmatched across not just beauty but any industry. Visit our Career Page to learn more about our team: https://www.elfbeauty.com/work-with-us Position Summary: We’re looking for a bold, visionary, and hands-on Head of Data & AI to architect and operationalize our data-driven future. This leader will shape our AI-first data strategy, build a world-class data foundation, and accelerate value creation across analytics, automation, and intelligent experiences. You’ll own the full lifecycle of our data ecosystem — from architecture to governance to AI activation — ensuring that data is not just reliable and compliant, but ready to power the next generation of business intelligence, personalization, and autonomous decision-making. The base salary range for this role is listed above. Total compensation includes base salary, annual company-based performance bonus, and equity. Under e.l.f.’s annual bonus program, employees are eligible to earn up to 200% of their target bonus when company performance exceeds defined goals. In addition, e.l.f. provides a variety of other benefits to employees, including medical, dental, and vision insurance, a retirement savings plan, gender neutral parental leave, and unlimited paid time off. The amount of total compensation (including base salary) offered will be based on a wide range of factors, including geographic location, experience, specific skills, and qualifications. Compensation components are subject to change at the company’s discretion This job description is intended to describe the general nature and level of work being performed in this position. It also reflects the general details considered necessary to describe the principal functions of the job identified, and shall not be considered, as detailed description of all the work required inherent in the job. It is not an exhaustive list of responsibilities, and it is subject to changes and exceptions at the supervisors’ discretion. e.l.f. Beauty respects your privacy. Please see our Job Applicant Privacy Notice (www.elfbeauty.com/us-job-applicant-privacy-notice) for how your personal information is used and shared. Responsibilities: Lead enterprise data architecture and platforms — design and scale a modern, cloud-based data stack leveraging Snowflake , Atlan , and complementary technologies (e.g., dbt, Fivetran, Airflow). Establish data observability and quality frameworks — ensure data lineage, reliability, and real-time insights across all systems. Drive AI-first data strategy — enable machine learning and generative AI capabilities through structured data tagging, metadata management, and model-ready pipelines. Partner with business and technology teams — turn data into action by collaborating across digital, marketing, finance, and operations to define use cases, KPIs, and outcomes. Governance and compliance — define robust policies for privacy, security, and ethical AI use; partner with Legal and Security teams to align with evolving regulations. Build and lead a high-performance global data team — recruit, mentor, and inspire data engineers, architects, and AI specialists. Accelerate insight to impact — democratize data access, foster a culture of experimentation, and drive adoption of self-service analytics and AI tools. Requirements: 10+ years leading enterprise data engineering, architecture, or AI initiatives. Deep expertise in Snowflake and metadata management platforms such as Atlan , Collibra , or Alation . Proven experience implementing data observability , lineage, and monitoring tools (e.g., Monte Carlo, Databand, Soda). Strong understanding of data governance, privacy, and MLOps principles. Demonstrated success building and scaling AI-ready data platforms — enabling ML pipelines, model serving, or generative AI use cases. Experience leading cross-functional collaboration between engineering, analytics, and business teams. Strategic mindset balanced with a bias for execution and operational excellence. Attributes That Make You Stand Out: You think like a product owner for data — obsessed with usability, adoption, and measurable value. You lead with clarity and curiosity , connecting business ambition to technical architecture. You embrace experimentation and governance as dual engines of innovation. You’re passionate about empowering others — turning “data consumers” into “data creators.”

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      "text": "Responsibilities:",
      "content": "\n<li><strong>Lead enterprise data architecture and platforms</strong>&nbsp;— design and scale a modern, cloud-based data stack leveraging&nbsp;<strong>Snowflake</strong>,&nbsp;<strong>Atlan</strong>, and complementary technologies (e.g., dbt, Fivetran, Airflow).</li>\n<li><strong>Establish data observability and quality frameworks</strong>&nbsp;— ensure data lineage, reliability, and real-time insights across all systems.</li>\n<li><strong>Drive AI-first data strategy</strong>&nbsp;— enable machine learning and generative AI capabilities through structured data tagging, metadata management, and model-ready pipelines.</li>\n<li><strong>Partner with business and technology teams</strong>&nbsp;— turn data into action by collaborating across digital, marketing, finance, and operations to define use cases, KPIs, and outcomes.</li>\n<li><strong>Governance and compliance</strong>&nbsp;— define robust policies for privacy, security, and ethical AI use; partner with Legal and Security teams to align with evolving regulations.</li>\n<li><strong>Build and lead a high-performance global data team</strong>&nbsp;— recruit, mentor, and inspire data engineers, architects, and AI specialists.</li>\n<li><strong>Accelerate insight to impact</strong>&nbsp;— democratize data access, foster a culture of experimentation, and drive adoption of self-service analytics and AI tools.</li>\n"
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      "text": "Requirements:",
      "content": "\n<li>10+ years leading enterprise data engineering, architecture, or AI initiatives.</li>\n<li>Deep expertise in&nbsp;<strong>Snowflake</strong>&nbsp;and&nbsp;<strong>metadata management platforms</strong>&nbsp;such as&nbsp;<strong>Atlan</strong>,&nbsp;<strong>Collibra</strong>, or&nbsp;<strong>Alation</strong>.</li>\n<li>Proven experience implementing&nbsp;<strong>data observability</strong>, lineage, and monitoring tools (e.g., Monte Carlo, Databand, Soda).</li>\n<li>Strong understanding of&nbsp;<strong>data governance, privacy, and MLOps</strong>&nbsp;principles.</li>\n<li>Demonstrated success building and scaling&nbsp;<strong>AI-ready data platforms</strong>&nbsp;— enabling ML pipelines, model serving, or generative AI use cases.</li>\n<li>Experience leading cross-functional collaboration between engineering, analytics, and business teams.</li>\n<li>Strategic mindset balanced with a bias for execution and operational excellence.</li>\n"
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      "text": "Attributes That Make You Stand Out:",
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