Senior Manager Data Science and Advanced Analytics - Operations

About the role

This leader drives data-driven strategy and execution for the Operations function in a consumer packaged goods (CPG) company. The role blends strategic insight with hands-on analytics to optimize performance across supply chain & manufacturing, order-to-cash, and demand planning & forecasting. In a player-coach capacity, the Senior Manager leads a small team (2 analysts) while personally delivering key analyses and recommendations to guide operational decision-making.

Responsibilities

• Deliver actionable insights across supply chain, manufacturing, order-to-cash, and demand planning processes to improve operational efficiency and performance.
• Develop and own the Operations analytics roadmap (metrics, dashboards, advanced analysis) to support data-driven decision-making and continuous improvement.
• Ensure effective integration of data from ERP and Salesforce systems, collaborating with IT on data architecture and flow enhancements for a holistic view of Operations.
• Collaborate with cross-functional teams (Operations, Supply Chain, Finance, IT) to identify opportunities and translate data findings into strategic recommendations.

Requirements

• Significant experience in operations-focused analytics or business intelligence (supply chain, manufacturing, or customer operations) in a CPG or similar industry, with a track record of using data to drive process improvements and optimize performance.
• Strong understanding of ERP systems (e.g., SAP or Oracle) and Salesforce CRM, including conceptual knowledge of data flows between these enterprise systems.
• Ability to define and influence data architecture and integration requirements, partnering with IT to implement robust data solutions (not a hands-on engineering role).
• Excellent analytical and problem-solving skills, including expertise in developing metrics/dashboards and communicating insights to non-technical stakeholders.

Qualifications

• Advanced degree in business, analytics, or a related field (MBA or MS) and/or relevant certifications (e.g., Six Sigma).
• Prior experience managing or mentoring an analytics team.
• Familiarity with modern analytics and data visualization tools and techniques (e.g., business intelligence platforms, forecasting methods).

Skills

• Operations analytics (supply chain, manufacturing, order-to-cash, demand planning & forecasting)
• Business insight generation and data storytelling for operational leaders
• ERP, PLM & Salesforce systems knowledge, including conceptual data flow and integration patterns
• Data architecture and integration influence (requirements definition, roadmap ownership)
• KPI design, performance management, and continuous improvement analytics
• Cross-functional stakeholder management and influence
• Team leadership and coaching (player–coach model)
• Structured problem-solving and root-cause analysis
• Executive-ready communication and presentation skills

Benefits

• Annual Base Salary Range: $176,000 - $220,000

Pay

• Annual Base Salary Range: $176,000 - $220,000

Schedule

• Hybrid Work Model