Job Title: Director, Analytics Portfolio Management  

Department:  One L’Oréal Data 

Reports To: Head of Data & Analytics Office, NORAM 

Who We Are: 

For more than a century, L’Oréal has devoted its energy, innovation, and scientific excellence solely to one business: Beauty. Our goal is to offer each and every person around the world the best of beauty in terms of quality, efficacy, safety, sincerity and responsibility to satisfy all beauty needs and desires in their infinite diversity. 

At L’Oréal, our One L’Oréal Data organization mission is to enable data at the speed of beauty and drive sustainable growth. We translate insights into action to deliver value for L'Oréal, our consumers, and the planet. We empower each other through data, insights, & agility, preparing L’Oréal for the future of a data driven world. Come join our dynamic team! 

About the Role: As the Director, Analytics Portfolio Management, you will play a pivotal role in shaping and driving L'Oréal NORAM's data and analytics strategy. You will lead the comprehensive management of the analytics project portfolio, ensuring strategic alignment with business objectives, optimal resource allocation, and robust project governance. This high-impact role requires strong leadership to manage demand, prioritize initiatives, oversee project execution, and report on portfolio delivery, driving impact across the organization. You will be responsible for the cataloging of projects/products and project/product delivery management across all divisions and functions. 

Key Responsibilities: 

• Strategic Portfolio Leadership & Vision: Lead the strategic planning, development, and ongoing management of the NORAM analytics product portfolio. Ensure tight alignment with L'Oréal's global data and analytics strategy and NORAM business objectives. Drive the integration of analytics initiatives to unlock business value and foster innovation within the beauty industry. Contribute to the development of departmental plans and overall data and analytics strategy.
• Demand Management & Prioritization: Establish and oversee the comprehensive demand management process for data and analytics services, products, and projects. Evaluate, prioritize, and sequence initiatives based on business value, feasibility, resource availability, and strategic impact, ensuring optimal allocation of financial, human, and material resources.
• Portfolio Execution & Project Governance: Oversee the end-to-end execution of the analytics portfolio, from planning and resource allocation to tracking progress, budget adherence, and delivery reporting. Implement governance to ensure consistent project delivery, risk management, and quality control across all portfolio initiatives.
• Cross-Functional Collaboration & Influence: Partner closely with cross-functional teams, business stakeholders, and senior leadership to champion data-driven decision-making and ensure successful adoption of analytics solutions. Effectively communicate portfolio progress, challenges, and ROI, securing buy-in for key initiatives and addressing issues with impact beyond your immediate team.
• Performance Measurement & Optimization: Define, monitor, and report on key performance indicators (KPIs) for the analytics portfolio, measuring project health, delivery efficiency, and business impact. Conduct regular portfolio reviews and post-project assessments to identify lessons learned and drive continuous process improvement.

Qualifications: 

• Minimum of 8 years professional experience in data and analytics performance management, business intelligence, or a related field, preferably within a large, multi-brand, or multi-category organization.
• Proven leadership experience in data and analytics portfolio management, with a track record of successfully delivering complex initiatives.
• Deep understanding of project and portfolio management best practices, methodologies, and governance.
• Exceptional analytical and problem-solving skills, with the ability to translate complex data into strategic insights and actionable plans.
• Outstanding communication, negotiation, and interpersonal skills, capable of influencing and engaging stakeholders at all levels, from technical teams to executive leadership.
• Demonstrated ability to drive transformational change and foster a data-driven culture.

• Familiarity with data governance principles, data security, and relevant regulatory compliance (e.g., GDPR, CCPA).
• Experience with a range of data and analytics technologies, including cloud platforms (e.g., AWS, Azure) and data visualization tools (e.g., Tableau, Power BI).
• Experience in the beauty or consumer goods industry is a plus.

Additional Benefits Information As Follows: 

Salary Range: $138,500 - $200,800 (The actual compensation will depend on a variety of job-related factors which may include geographic location, work experience, education, and skill level)  

• Competitive Benefit Package (Medical, Dental, Vision, 401K, Pension Plan)  
• Hybrid Work Policy (3 Days in Office, 2 Days Work from Home)
• Flexible Time Off (Paid Company Holidays, Paid Vacation, Vacation Buy Program, Volunteer Time, Summer Fridays & More!)  
• Access to Company Perks (VIP Access to L’Oréal’s Internal Shop for Discounted Products, Monthly Mobile Allowance)  
• Learning & Development Opportunities (Unlimited Access to E-learnings, Lunch & Learn Sessions, Mentorship Programs, & More!)  
• Employee Resource Groups (Think Tanks and Innovation Squads)  
• Access to Mental Health & Wellness Programs

Don’t meet every single requirement? At L'Oréal, we are dedicated to building a diverse, inclusive, and innovative workplace. If you’re excited about this role but your past experience doesn’t align perfectly with the qualifications listed in the job description, we encourage you to apply anyways! You may just be the right candidate for this or other roles! 

We are an Equal Opportunity Employer and take pride in a diverse environment. We would love to find out more about you as a candidate and do not discriminate in recruitment, hiring, training, promotion, or other employment practices for reasons of race, color, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or disability, or any other legally protected status. 

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