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COMPANY
L&R is a private equity owned high growth company that is the leading beauty and cosmetics distributor in the U.S. With over 400 strategic suppliers and 40000 SKUs in our warehouses we provide products across a wide range of categories including beauty cosmetics trial & travel toys school/home office pet home essentials and other general merchandise categories.
JOB SUMMARY
To support this L&R utilizes a stateoftheart time phased replenishment technology (Kinaxis). The Demand Planning Manager serves as the key leader for strategic management of the technology including forecast management SIOP and technical support management including interfacing and managing third party service providers. This role is a leading voice in designing executing and managing strategic initiatives that involve replenishment supply chain management and sourcing.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Drive the monthly and weekly tactical S&OP process including the balancing of demand and supply and the reporting of critical items to key stakeholders.
Lead the collaborative process for sales forecasting including seasonal demand and new program / brand launches.
Train and develop the wider replenishment team on technical settings and replenishment strategies to optimize inventory performance.
Partner with executives functional leaders engineers and other stakeholders to improve the depth breadth and impact of the data and reporting available to the business.
Leverage forecasting software/framework to create monitor and maintain S&OP metrics and key performance indicators identifying potential risks and opportunities.
Builds and manages tools and processes that support key objectives such as demand capacity and supply planning inventory modeling service and revenue forecasting plan optimization and labor gap analysis. Develops advanced analytical tools and reporting to support the entire S&OP process.
Maintain metrics/scorecards on KPIs including fill rates inventory turns forecast accuracy excess & obsolete inventory and procurement schedule adherence.
Consolidates and analyzes demand and supply information for the operational tactical and strategic plans and uses data to drive ontime delivery establish lead times inventory turns and maximizing revenues.
Drive resolution to operational issues while keeping crossfunctional partners aware of supply and service issues by providing facts.
Solicit requirements for core systems business intelligence tool (Yellowfin/Tableau) and contribute to the design of reports dashboards and supporting data models.
In partnership with our IT team and 3rd parties expand our machine learning and AI capabilities to develop and refine forecasting anomaly detection and classification algorithms.
Perform adhoc data analysis as requested by supply chain leaders.
REQUIRED QUALIFICATIONS:
Bachelors or Masters degree in Supply Chain Information Management Statistics Engineering Mathematics or another quantitative field.
Supply Chain / Warehousing / Transportation experience and/or APICS and Lean Six Sigma certifications would be a plus.
An experienced demand planning leader with a minimum of 4 years of expertise in managing both people and process of demand planning & forecasting system management and SIOP leadership. Requirement of expertise in a leading time phased replenishment system with a preference for experience with Kinaxis.
Experience working in a retail or distribution replenishment environment with high volume and large catalog of products.
Strong analytical and problem resolution skills along with the ability to communicate results both verbally and in writing.
Strong computer skills working with Microsoft Suites and working knowledge of ERP and S&OP processes is a requirement.
Experience in cloud data pipelines (Stitch AWS Lambda and other ELT tools) modern data warehouses (Redshift BigQuery Snowflake etc. visualization and business intelligence tools (Yellowfin Tableau PowerBI Advanced Excel).
Knowledgeable about advanced analytics and able to guide investments in and collaborate on data science machine learning AI and predictive analytics products.
PAY: $110000 based on experience
BENEFITS:
WORK SCHEDULE/HOURS:
TRAVEL:
Required Experience:
Manager
Full-Time