Demand Forecast Planner- Homecare

Background & Purpose of the JobOne of the key technologies under iOps program is FEU, a Machine Learning-based forecasting engine that will ingest large volumes of internal and external data and use advanced ML and AI algorithms to generate Unilever’s volume forecast. The Forecast Operations Analyst forms an important bridge between the business users and the data science teams. The role is expected to translate the business problems into functional features that are resolved in partnership with the data science team.The purpose of this role is to drive DC-level forecast improvement and issue resolutions around the forecasting process enabled by FEU, by interacting with:Collaborate with L1/Grow teams- Local market SMEs and planning teams (Market Collaboration Planner & Category Demand Fulfillment)Work with ML Ops and data science teamsLeverage FEU Design Teams (PACE, UniOps, I&A)This role is accountable to manage across all categories and business groups.Who You Are & What You’ll DoYou’re digital & data translator: You understand how to use data and tools to quickly connect dots and develop insights and action.You’re a dot connector: You can link our supply chain with our customers supply chain and ensure that service is optimized based on the best inventory holding strategiesYou’re a culture & change champion: Working closely with cross functional colleagues both internally and externally as ONE TEAM and aligning expectations while holding others accountableYou love to win, and have fun doing it: Responsibility for generating and improving optimized supply plansYou’re a strategy guru: Empowered to lead strategic agenda for improving our item-DC level forecast accuracy.What You’ll DoManage and continually improve item site-level forecast accuracy as part of Forecast Analysts routines (daily, weekly, monthly)Provide baselines forecast guidance to Business Facing teams as a critical starting input to monthly S&OP cycleUnderstand forecast models for each individual unit, stress test on inputs and perform RCA for IssueWork with Planning Excellence & Insights One Forecast (DP, S&OP, CD Planning) and Analytics & Insights teams to improve model selection and suggestion to upgrade features if requiredKeep constant check on forecast quality and take proactive actions if the forecast quality declinesInvestigation & working with ML Ops & Planners on RCA & service request management with ML Ops and L3 Data Science teamKey Performance Indicators Constrained Forecast Accuracy (1-, 3-, and 6-month lag)Constrained Forecast Bias (1-, 3-, and 6-month lag)OTIF core portfolioOTIF innovationDispatch ratesFG MSTN & ESTNWhat You’ll Need To SucceedBachelor’s degree in Operations / Supply Chain or equivalent experienceRelevant experience in Supply Chain, Planning, Manufacturing or similar field (1A: 0 years, 1B: 1+years, 1C: 3+ years)Empowerment, Experimentation and Collaboration a mustStrong relationship management and team leadership both internally and externallyHolding people accountable, developing self and others, breakthrough thinking, optimizing Supply Chain integrated performance, strategic vision and influencingWhat We Can Offer You | | | | | | | | | ------------------------------------Employment is subject to verification of pre-screening tests, which may include drug screening, background check, credit check and DMV check.