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 four fiscal years), equity, 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
Job Summary:
We are seeking a highly motivated and skilled Associate Director, Data Intelligence to join our dynamic team and lead our enterprise Data Warehouse, Integrations, and Analytics ecosystem. This role will own end-to-end data operations, from ingestion and modeling to reliability, governance, downstream analytics enablement and emerging AI/ML capabilities. The ideal candidate will have deep technical expertise with strong leadership, program management, and stakeholder engagement skills to deliver trusted, timely, and scalable data capabilities for the business.
Shift Timings: 3:00pm – 12:00am IST (extendable as per job requirements)
Place Of Work - Ahmedabad, Gujarat/India - Remote
Key Responsibilities
Team Leadership & Operations
Lead, mentor, and develop a team of data engineers, analysts, integration engineers, PowerBI developers and AI/ML Engineers.
Provide direction, coaching, and performance feedback to team members while supporting their career growth and technical development.
Foster a culture of continuous improvement, collaboration, and innovation.
Implement and maintain a comprehensive data strategy aligned with business goals.
Manage intake, prioritization, and delivery of data-related requests, projects, and enhancements
Establish SLAs, operational metrics, and reporting cadences to communicate team performance to leadership
Manage resource planning, workload distribution, project delivery, hiring, onboarding and support activities across the data intelligence function
Foster a collaborative, data-driven culture aligned with organizational goals and values
Partner closely with cross-functional teams including ecommerce, Data Engineering, Business Insights, Enterprise Applications, Infrastructure, Security, and QA.
Provide status updates to leadership on operational health, key issues, risks, priorities, and progress
Data Warehouse Management
Oversee the design, development, and operational maintenance of the enterprise Data Warehouse architecture
Manage data ingestion pipelines, ETL/ELT processes, and data transformation workflows
Ensure data integrity, consistency, and availability across all warehouse environments (Dev, QA, Prod)
Provide technical leadership in SQL development, ETL/ELT processes, data modeling, database design, and performance tuning.
Evaluate and recommend new technologies, tools, and methodologies to enhance warehouse performance
Support data warehouse enhancements, new data source onboarding, reporting needs, and business-critical data initiatives.
Implement and enforce data quality controls, lineage, metadata management, and documentation.
API Integrations
Lead the execution of API integrations connecting internal and third-party systems
Collaborate with engineering and vendor teams to design, build, and monitor RESTful and SOAP API integrations
Establish standards for API documentation, versioning, error handling, and data validation
Drive improvements in integration support processes, incident response, and operational reliability.
Partner with application, integration, ERP, ecommerce, and business teams to ensure APIs and data integrations are stable and functioning as expected.
Assist to troubleshoot and resolve integration failures, ensuring minimal disruption to downstream systems and reporting
Analytics & Power BI
Manage and support analytics requests related to Power BI reports, dashboards, datasets, and business reporting needs.
Partner with business users to understand reporting requirements, data definitions, KPI needs, and analytics priorities.
Champion self-service analytics by establishing best practices, data models, and certified datasets
Provide training and enablement resources to empower business users across the organization
Support report enhancements, dashboard issue resolution, and dataset refresh failures.
Promote consistency in reporting, data definitions, and analytics best practices across the organization.
Data Governance & Security
Lead the overall data intelligence strategy aligned with business priorities, technology roadmap, and enterprise goals.
Partner with Security, Compliance, and Business teams to enforce data governance policies and access controls
Ensure compliance with applicable data privacy regulations (e.g., GDPR, CCPA) and SOX/ITGC controls where applicable
Manage audit readiness, change management, and segregation of duties across environments.
Maintain comprehensive data dictionaries, lineage documentation, data cataloging, and metadata management practices
AI & Machine Learning
Lead and support the organization’s advancement into AI, machine learning, predictive analytics, and intelligent automation.
Identify practical AI/ML use cases that can improve business outcomes, operational efficiency, customer experience, and decision-making.
Partner with data scientists, engineers, analysts, and business teams to develop scalable AI/ML solutions.
Help establish the foundation required for AI readiness, including clean data pipelines, governed datasets, quality controls, and reusable data assets.
Support the evaluation and implementation of AI-enabled analytics tools, machine learning platforms, and automation capabilities.
Promote responsible AI practices, including data privacy, model transparency, risk management, and ethical use of data.
Qualifications and Requirements
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• 18+ years of progressive experience in Information Technology
• 10+ years of hands-on experience with Data Warehouse architecture, development, and operations
• 7+ years in a people management or team lead capacity within a data or analytics organization
• Deep expertise in cloud data platforms such as Snowflake, Azure Synapse, Amazon Redshift, or SQL Server and modern data architectures
• Proficient in ETL/ELT development using tools such as Azure Data Factory, Informatica, Matillion, dbt, or similar.
• Strong experience designing and managing API integrations (REST, SOAP, JSON, XML, OAuth)
• Proficiency with Power BI or Analytic platforms including data modeling (DAX, Power Query), report development, gateway management, and workspace administration
• Expertise in SQL for complex querying, performance tuning, and data analysis
• Demonstrated ability to manage concurrent projects, prioritize effectively, and communicate with executive stakeholders
• Strong analytical, problem-solving, and critical thinking skills
• Familiarity with data mesh, data lakehouse, or medallion architecture patterns
• Ability to work in a fast-paced and dynamic environment.
• Excellent leadership and team-building capabilities.
• Excellent communication and collaboration skills.
• Exposure to machine learning pipelines or AI-driven analytics use cases
• Knowledge of ITIL frameworks and enterprise IT service management practices
• Experience with Snowflake
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.
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