Senior Demand Planner

BodyBio•Millville, NJ

17h

About The Position

The Senior Demand Planner (SDP) position is responsible for developing, managing, and continuously improving the company’s sales forecast for finished goods. This role leads the demand planning process by collaborating with Sales, Marketing, Finance, and Operations to generate an accurate, data-driven forecast that supports production planning, purchasing, inventory optimization, and financial objectives. The SDP facilitates demand review meetings, analyzes forecast performance, identifies risks and opportunities, and provides actionable insights to senior leadership to ensure alignment between demand, supply, and business strategy.

Requirements

Minimum of 7 years in statistical forecast modeling using a demand planning tool
Minimum of 5 years leading S&OP meetings
BS/BA required, preferably in Supply Chain Management, Mathematics, Finance, Economics, or Business Management.
Strong analytical skills with the ability to interpret large data sets.
Advanced proficiency in Excel (pivot tables, lookups, data modeling); PowerPoint proficiency required.
Experience facilitating cross-functional meetings with senior functional leads.
Strong communication, leadership, and relationship-building skills.
Highly organized, detail-oriented, and able to manage multiple priorities. Self-starter who takes initiative and drives accountability.
Ability to travel at least 10% of the time.

Nice To Haves

Developing supply planning processes such as MRP in an ERP experience a plus.
NetSuite experience a plus.

Responsibilities

Own and maintain the rolling 12–18 month demand forecast for all finished goods.
Develop and lead a top-down and bottoms-up forecasting process
Model future sales based on statistical methods such as regression analysis, time series and others while also factoring in customer insights, promotional plans, product launches, seasonality, and market intelligence.
Align forecast assumptions with Finance for budget and financial planning purposes.
Ensure forecast is updated for supply planning purposes and aligned with supply planning timelines.
Lead yearly forecasting for budgeting purposes
Taking the top line revenue goals and exploding it down to a mid-level point in the demand planning hierarchy based on historical data.
Drive a bottom-ups forecast with the sales and marketing teams and aggregate them up to a mid-level point in the demand planning hierarchy
Lead consensus forecast agreement by reconciling the top-down and bottoms up forecasts
Lead monthly demand review meetings with Sales, Marketing, Finance, and Supply Chain to continuously improve the demand model and incorporate any new insights
Present forecast changes, risks, and opportunities to senior leadership.
Communicate significant forecast adjustments to the Master Planner and Supply team to support production planning.
Serve as the primary point of contact for all demand-related inquiries.
Monitor forecast accuracy (MAPE, bias, and other KPIs) at SKU and aggregate levels.
Perform root cause analysis on forecast variances and implement corrective actions.
Generate and distribute forecast performance reports to internal stakeholders.
Develop demand scenario models to assess upside/downside risks.
Provide insights on customer trends, product performance, and lifecycle transitions.
Partner with Supply Planning to review OOS reports and days-on-hand projections.
Highlight risks driven by forecast variability or promotional spikes.
Support new product launch forecasting and phase-in/phase-out planning.
Collaborate with Sales and Marketing to manage demand during constrained supply situations.
Support the annual budgeting process with volume forecasts by SKU and channel.
Partner with Finance to align demand assumptions with revenue targets.
Provide volume projections to support production and raw material spend forecasting.
Participate in business reviews with senior management.
Identify opportunities to improve forecast accuracy and planning processes.
Develop business cases for forecasting tools, automation, or process enhancements.
Implement best practices in demand planning, statistical modeling, and cross-functional collaboration.
Improve data integrity within Sage and planning tools.