Technology Senior Product Manager (Supply Chain)

Job Title: Technology - Senior Product Manager

Duration: estimated 6 months with potential to convert to FT.

Tax Work Location: Raleigh CSC (Need Locals if not local we can consider nearby state candidate but candidate should be comfortable going onsite)

Note: Please share the candidate having IBM Sterling OMS Retail ecosystem Supply chain exp.

Ideal Candidate Profile Summary:

Must have: 7 years experience product manager experience with delivery and stakeholder management.

Remote or On-site: Prefer candidates within commuting distance to Raleigh NC.

Work Schedule: 8:00 AM - 5:00 PM with some flexibility for start/end time.

Interview Process: 2 rounds of interviews via MS Teams.

We are seeking a highly experienced Senior Product Manager to lead the strategy and execution of our merchandising and supply chain product functions within a retail ecosystem. In this role you will lead the implementation of a new large order management system working with both engineers and supply chain team.

This role will drive solutions that ensure accurate forecasting optimized inventory levels and parts availability across our extensive network of stores distribution centers and digital channels. Your work will directly impact product availability working capital efficiency and customer satisfaction in both our DIY and commercial (DIFM) segments.

Candidates with experience building a large order management ecosystem including Sourcing fulfilment track and trace or order life cycle management are preferred.

Key Responsibilities:

Define and own the product vision and roadmap for demand forecasting inventory optimization and replenishment systems.

Work cross-functionally with merchandising supply chain store operations and data science teams to understand business needs and develop scalable data-driven solutions.

Lead initiatives to reduce out-of-stocks improve inventory turnover and optimize safety stock for a highly complex catalog of automotive parts.

Drive adoption of advanced demand forecasting models that incorporate seasonality vehicle fitment data regional demand patterns and promotional activity.

Collaborate with engineering and data teams to build platforms and tools that support real-time inventory visibility allocation and replenishment decisions.

Establish and monitor key performance indicators (KPIs) such as forecast accuracy service levels inventory turns and working capital metrics.

Influence executive stakeholders and lead prioritization efforts across a portfolio of demand planning and inventory initiatives.

Stay ahead of industry best practices in inventory science machine learning-based forecasting and supply chain digitization.

Qualifications:

5 years of product management experience with deep expertise in demand planning inventory management or supply chain systems.

Proven success managing complex product portfolios with large SKU counts and variable regional demand in a retail environment.

Strong analytical and quantitative skills with a track record of driving improvements in forecast accuracy and inventory efficiency.

Deep understanding of planning systems including statistical forecasting MRP DRP and multi-echelon inventory optimization.

Comfortable collaborating with engineering data science and supply chain teams to build scalable solutions.

Excellent communication and stakeholder management skills.

Bachelors degree in Business Supply Chain Engineering or related field; advanced degree (MBA MS in Supply Chain etc.) is a plus.

Preferred Qualifications:

Strong knowledge of order management systems. - IBM Sterling (Preferred); OK if they have experience with other order management systems

If they have worked in supply chain order management System perfect match.

Experience in retail environment; does not have to be automotive.

Hands-on experience with tools like IBM Sterling highly preferred.

Exposure to machine learning or AI applications in forecasting and planning.