Manager, Logistics Business Insights

Clorox • Alpharetta, GA

3d • Hybrid

About The Position

The Logistics Business Insights Manager is a strategic and operational leader within the Center Logistics Excellence team, accountable for converting data into actionable insights that deliver measurable business outcomes. This role enables proactive, data-driven decision-making through advanced analytics, automation, and a future-ready digital backbone, while influencing the data foundations required to scale technology, AI, and operational excellence. Success in this position is defined by improvements in service levels, cost efficiency, capacity agility, and sustainability, achieved through advanced analytics, reporting excellence, and digital transformation initiatives.

Requirements

• Bachelor’s Degree in a technical discipline such as statistics, analytics, mathematics, or equivalent experience is highly preferred.
• Minimum of 5-7 years in logistics, supply chain management, or a related field with a focus on digital transformation and process improvement.
• Experience designing or deploying AI‑, machine learning‑, and automation‑based applications in the logistics space to enable proactive decision‑making and operational excellence
• Proven experience with SAP Analytics Cloud, Power BI, Denodo, Azure Databricks, and Copilot 365/Studio tools.
• Demonstrated understanding of data stewardship, report ownership, and report stewardship responsibilities including data quality, compliance, and access management.
• Must be legally authorized to work in the United States. Visa sponsorship is not available.
• Technical proficiency in data analytics, coding, automation, and application development (e.g., Python, SQL, Power BI, AI-enabled solutions) to design, build, and deploy tools that improve logistics performance, visibility, and productivity
• Strong project management skills that deliver multiple projects on time
• Ability to quickly adapt to new technologies and processes.
• Proven track record of implementing process improvements and automation initiatives.
• Excellent communication skills, both verbal and written, with the ability to convey complex concepts clearly.
• Leadership experience in driving transformation, coaching, and mentoring teams.
• Commitment to continuous learning and operational excellence.
• Ability to travel up to 10%

Responsibilities

• Unlock Proactive, Data-Driven Decision-Making For Logistics: Enable proactive, insight-led decision-making through advanced analytics, predictive modeling, and automated insights that anticipate risk and surface opportunity.
• Translate complex data into clear, actionable narratives that guide logistics, customer, and enterprise decision-making.
• Develop advanced signal-sensing analytics (demand, capacity, service, cost, and external signals) to accelerate time-to-decision and improve responsiveness.
• Build digital acumen and analytics fluency across the logistics organization through coaching, mentoring, and enablement.
• Deploy Digital Technologies to Drive Operational Excellence: Lead deployment and adoption of analytics platforms, automation, and AI-enabled tools that improve efficiency, scalability, and execution rigor across logistics operations.
• Partner with Operations, IT, and external vendors to embed digital and analytical solutions into daily logistics workflows.
• Identify and prioritize high-value use cases for automation and advanced analytics that deliver measurable service, cost, and productivity improvements.
• Build a Future-Ready Digital Backbone and Data Foundation: Influence the logistics data foundation, ensuring data quality, governance, and architecture that support scalable analytics, AI, and automation.
• Establish clear data stewardship, reporting ownership, and standards to enable trusted visibility, insight, and process automation.
• Design enterprise-ready reporting and analytics solutions that evolve with business needs and strategic priorities.
• Integrate Advanced Analytics, AI, and Automation: Leverage AI and ML-enabled analytics and automation to reduce manual effort, standardize decisions, and elevate logistics performance.
• Embed automation into repeatable processes such as exception management, performance monitoring, and root cause analysis.
• Track and communicate realized value from digital initiatives through KPIs aligned to logistics strategy outcomes.
• Serve as a thought leader for advanced analytics, automation, and data-driven operations within Logistics.

Benefits

• Robust health plans
• Market-leading 401(k) program with a company match
• Flexible time off benefits (including half-day summer Fridays depending on location)
• Inclusive fertility/adoption benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Manager