Supply Chain Intelligence, Digital & Productivity Lead

The Coca-Cola Company•Atlanta, GA

5d•$181,000 - $221,000•Onsite

About The Position

At The Coca-Cola Company, we connect the global system supply chain end to end to capture scale and competitive advantage, while driving customer service, cost efficiency, and sustained productivity improvement across the system. The ideal candidate will combine enterprise data fluency, digital and AI enablement capabilities, with strong supply chain operating knowledge and the ability to translate insights into measurable operational and financial impact. Lead the use of existing Global Supply Chain and enterprise data, combined with strong Digital, Data Analytics, and AI understanding to identify opportunities and build capabilities across the system. The role will convert fragmented data into actionable insights, deploy digital and AI-enabled use cases to help institutionalize a repeatable, insight-led approach to capability building and performance improvement.

Requirements

12+ years of experience across supply chain operations, manufacturing, warehousing, logistics, or continuous improvement in Bottling Supply Chain or complex CPG operating environment.
Strong understanding of operational productivity drivers across Bottling Supply Chain (plant operations, warehouse operations, and logistics networks).
Demonstrated experience using data and analytics to identify inefficiencies, generate insights, and drive measurable business improvement. Experience in Bottling Supply Chain would be preferred.
Experience with AI, advanced analytics, digital tools, or data-driven decision support solutions in operational environments. Experience in Bottling Supply Chain would be preferred.
Strong business case and value realization capability, including quantification of benefits and performance tracking.
Strong knowledge of operational KPIs, productivity metrics, and performance diagnostic approaches.
Ability to work across matrixed organizations and influence operations, Finance, digital, OU, and bottler stakeholders.
Ability to translate complex analytical findings into simple, compelling, action-oriented recommendations for leadership audiences.
Digital mindset with the ability to leverage existing enterprise tools, data environments, and AI capabilities to accelerate insight generation and business impact.
Leads discussions on AI-enabled diagnostics, productivity opportunities, operational insights, and value realization.
Frequent interaction with GSC leadership, OU supply chain leaders, bottling partner leaders, operations teams, Finance, and enterprise digital/data teams.
Requires the ability to simplify complex operational and analytical topics for senior and cross-functional audiences.
Supports executive decision-making through fact-based storytelling, clear recommendations, and measurable impact framing.
All applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.

Nice To Haves

Experience in Bottling Supply Chain would be preferred.

Responsibilities

Improve the usability, consistency, and business relevance of existing data assets across Enterprise by connecting them and processing signals into integrated insights. Build a structured intelligence engine that converts data into actionable insights for OUs and Bottling Operations to drive productivity and build capability.
Leverage insights to build a prioritized productivity pipeline with clear benefit ranges, and action-oriented recommendations for GSC, OUs, and bottling partners.
Leverage the insights to build capability roadmaps for specific bottling operations. Identify reusable use cases that can be scaled across geographies and bottling operations.
Enable self-service insight consumption where appropriate, reducing manual effort and delivering better productivity and build capability.
Define and evolve the framework required to measure productivity and efficiency consistently across all parts of the Supply Chain and compare performance across the system.
Apply AI, advanced analytics, and digital tools that help surface performance gaps, and opportunity areas across Supply Chain through pattern recognition, structured diagnostics and root-cause identification.
Partner with digital, data, and platform teams to leverage existing enterprise capabilities and embed AI into processes and workflows where relevant.
Support baseline development and business case creation for initiatives enabled through stronger data, AI, and digital capabilities. Help develop framework to quantify the benefits of digitization across the Supply Chain.
Build an integrated, fact-based view of performance drivers across manufacturing, warehousing, and logistics using available internal data sources.
Identify the biggest business problems and translate them into scalable digital and analytics use cases using existing enterprise platforms, data environments, and tools.
Leverage the available data sets to identify, prioritize and scale the digital use cases which would deliver most value across Manufacturing, Warehousing and Logistics.
Build reusable digital solutions that can be leveraged across plants, warehouses, and logistics networks. Partner cross-functionally to ensure digital use cases are practical, scalable, business-relevant, and connected to measurable outcomes.
Build capability across OUs, and bottling partners to use data, AI, and digital diagnostics as enablers of productivity improvement.
Influence system stakeholders to adopt a more data-driven, AI-enabled, and digitally supported approach to supply chain performance management.
Work closely with the OUs to support development of Digitization Roadmaps for the OUs as well as bottling partners particularly in emerging markets.
Facilitate cross-system learning through the sharing of use cases, diagnostic methods, and scalable digital solutions.