Director, Data Architect Global Equipment Platforms Coca-Cola GEP - coke

Job Description Summary:

The Coca-Cola Company is seeking a Director, Data Architect for Global Equipment Platforms (GEP). GEP is building the next generation of connected equipment capabilities across Freestyle, dispensed, coolers, digital racks, IoT-enabled assets, and future equipment ecosystems. As GEP evolves from individual equipment platforms into a connected commercial network, data architecture will be critical to enabling scalable analytics, AI, predictive maintenance, beverage quality intelligence, operational visibility, and customer-facing data products.

The Director, Data Architect will define and govern the enterprise data architecture for GEP. This role establishes the data models, data contracts, architecture patterns, governance standards, and data product foundations needed to support telemetry, equipment data, service data, product analytics, and AI-ready capabilities across the global equipment ecosystem.

This is a senior individual contributor architecture leadership role responsible for defining GEP's data architecture vision, standards, and federated operating model. The role will partner closely with Product, Engineering, Unified IoT, Platform, Data Science, Operating Units, Bottlers, Legal, Security, and external partners, while working within the broader enterprise and global data architecture framework to ensure GEP's data ecosystem is scalable, governed, discoverable, reusable, and aligned to enterprise technology standards and business priorities.

Key Responsibilities:

Define GEP’s Enterprise Data Architecture

Evaluate existing data architecture, platforms, and capabilities across GEP and the broader enterprise ecosystem; identify gaps and opportunities; and define a target-state architecture and modernization roadmap aligned to enterprise standards, business priorities, and future-state digital and AI capabilities.

Lead the definition of GEP’s enterprise data architecture across equipment telemetry, operational events, service data, product analytics, customer-facing insights, and AI/ML use cases.

Establish canonical data models for core entities such as equipment, devices, outlets, customers, bottlers, telemetry events, service events, products, consumption, configurations, and operational states.

Define architecture patterns for how data flows across source systems, Unified IoT, KOS, FOS, Microsoft Fabric, Data Hub, APIs, data products, and downstream applications.

Partner with GEP Engineering, Platform, Unified IoT, and broader global architecture and technology teams to ensure data architecture standards are implementable, scalable, secure, and operationally sustainable.

Own Data Contracts and Semantic Consistency

Define and govern data contracts between source systems, OEMs, vendors, platform teams, and data consumers.

Establish standards for schemas, metadata, lineage, naming conventions, data definitions, and semantic layers.