LDB Supply Chain Data & Analytics, Sr Manager

L'Oréal - Clark, NJ

Full-time - Mid Level

Remote - Clark, NJ

Health and Personal Care Retailers

About the position

The Sr Manager, Supply Chain Data & Analytics at L'Oréal Dermatological Beauty is responsible for transforming data into actionable insights to enhance the efficiency and responsiveness of the supply chain. This role involves harmonizing data from various sources, optimizing inventory management, and driving strategic initiatives that support the End-To-End Supply Chain function, which represents $2.3B in revenue for L'Oréal USA. The position also supports the Global S&OP team and requires leading a team to develop data-driven solutions that improve supply chain visibility, forecasting accuracy, and operational efficiency.

Responsibilities

• Lead the assessment, integration, and standardization of data from diverse sources across the supply chain ecosystem.
• Champion data governance and data quality initiatives to ensure accuracy and reliability of supply chain data.
• Develop and implement analytics models to optimize inventory levels across the supply chain.
• Enhance demand forecasting accuracy by leveraging data-driven analytics and tools.
• Identify opportunities to streamline and optimize supply chain processes through data analysis and automation.
• Transform complex data into compelling visualizations, dashboards, and reports to communicate supply chain performance.
• Manage monthly and weekly reporting activities and ensure proper execution.
• Foster a culture of continuous improvement by leveraging data and technology to optimize supply chain processes.
• Lead, mentor, and inspire data analysts and scientists, fostering collaboration and innovation.

Requirements

• Bachelor's degree in Supply Chain Management, Operations Research, Engineering, Statistics, Computer Science, or a related field.
• 5-10 years of progressive experience in data analytics, supply chain management, or a related field.
• Deep understanding of supply chain operations, inventory management principles, and S&OP processes.
• Expertise in data analysis, statistical modeling, machine learning, and data visualization tools (e.g., SQL, Python, R, Tableau, Power BI).
• Proven ability to lead and motivate teams, fostering a culture of collaboration and data-driven decision-making.
• Strong communication, presentation, and interpersonal skills.

Nice-to-haves

• Experience working with large, complex datasets.
• Ability to influence stakeholders at all levels and advocate for data-driven solutions.

Benefits

• Medical, Dental, Vision insurance
• 401K and Pension Plan
• Flexible time off including paid company holidays and vacation
• Hybrid work policy (3 days in office, 2 days work from home)
• Access to company perks such as discounted products and monthly mobile allowance
• Learning and development opportunities including unlimited access to e-learnings and mentorship programs
• Employee Resource Groups and access to mental health and wellness programs.