OLIPOP is on a mission to positively impact consumer health through innovative soda products. The Supply Chain Productivity & Solutions Manager will drive operational efficiency by identifying bottlenecks and deploying automation across the logistics network, optimizing end-to-end supply chain operations.
Responsibilities:
- Data Analytics & Reporting: Develop key performance indicators (KPIs) to track productivity and operational health. Utilize data visualization platforms like Tableau or Power BI to model supply chain scenarios
- Process Optimization: Identify inefficiencies in the supply chain. Redesign workflows to maximize throughput and minimize operational costs
- Solution Design: Spearhead the evaluation, selection, and implementation of supply chain technologies, such as ERP, WMS (Warehouse Management Systems), and automation tools
- Project Management: Lead cross-functional teams (including IT, procurement, and operations) to execute large-scale supply chain transformation projects from conception through to deployment
- Continuous Improvement: Apply methodologies such as Lean Six Sigma to drive continuous improvement initiatives and standardize best practices across global or regional sites
- Predictive Modeling: Use predictive modeling to forecast future demand and procurement needs
- Problem-Solving: Collaborate with other departments to identify vulnerabilities and close operational gaps
- Audits: Support compliance and performance audits across the sites across the supply chain
- Technology Implementation: Support Identify/implement new technologies to drive effective and efficient processes
- AI Product Strategy: Own and sequence the AI roadmap across demand forecasting, supply planning, manufacturing, and logistics
- Business-to-AI Translation: Translate strategic goals (e.g., "reduce working capital") into technical parameters for AI models
- Workflow Orchestration: Embed AI technologies into core supply chain software platforms
- Change Management: Lead cross-functional adoption by building AI fluency, training operational teams, and turning human workers into AI system auditors
Requirements:
- 8+ years of experience in an applicable role within the beverage/CPG industry
- Bachelor's degree in supply chain management, Logistics, Industrial Engineering, or Business Administration
- Comfort with AI concepts, machine learning models, and workflow orchestration tools. Familiarity with ERP/WMS/TMS systems and data pipelines (SQL/Python) is a significant plus
- Power BI & Tableau Experience
- Lean Six Sigma Experience
- EDI Experience
- Demonstrated ability to collaborate with cross-functional teams and external contacts (co-packers, 3PL's)
- Demonstrated ability for strategic thinking with a willingness to perform tactical execution
- Proven ability to develop strategic plans and manage implementation and execution, along with an ability to analyze data and identify root causes
- Must have a collaborative style and an ability to persuade, motivate in all directions within the organization – to sell up, to motivate down, and to cross sell to peers is essential to success
- Strong analytical skills with advanced MS Excel skills is a must (Macro, Access Data Base)
- Exceptional analytical problem-solving, stakeholder management, and the ability to clearly communicate complex operational strategies to executive leadership
- Ability to travel up to 25% for supplier visits, team off-sites
- Experience with NetSuite systems or any other ERP system strongly preferred