Senior Manager, AI Workflow

At The Coca‑Cola Company, we are committed to building a future fueled by innovation, data, and human ingenuity. As a global leader with a powerful portfolio of brands and an evolving digital ecosystem, we continually invest in technologies that unlock growth, accelerate decision-making, and enhance the experiences of our consumers and employees. Our Digital Strategy function plays a critical role in shaping this transformation by identifying, scaling, and embedding next-generation capabilities across the enterprise. 

We are seeking a Senior Manager, Artificial Intelligence Workflow Engineering to join our Digital Strategy team, reporting to the Vice President of Digital Strategy. This role sits at the intersection of business process transformation and advanced technology, with a focus on designing, building, and optimizing intelligent workflows powered by artificial intelligence. The ideal candidate is a technically fluent, business-minded professional who can translate complex problems into scalable, automated solutions that improve efficiency, agility, and value creation across the organization. 

The ideal candidate combines strong technical expertise with business acumen, demonstrating the ability to translate complex challenges into scalable, efficient solutions. This individual will partner closely with cross-functional teams to identify high-value opportunities for automation and artificial intelligence adoption, while ensuring alignment with enterprise priorities and responsible technology practices. This role offers a unique opportunity to influence how work gets done across Coca‑Cola by shaping and scaling next-generation digital capabilities that support growth, agility, and operational excellence. 

What You’ll Do for Us 

• Design and implement artificial intelligence-enabled workflows that streamline business processes, improve productivity, and enhance decision-making across enterprise functions 

• Partner with the Digital Strategy, Technology, and business teams to identify high-value use cases for artificial intelligence and workflow automation 

• Develop AI solutions or leverage commercially available off-the-shelf options for embedding AI across prioritized core workflows selected for AI application  

• Collaborate with the AI Network and Community to tap in to key AI skillets across the Digital Org  

• Translate business requirements into scalable technical solutions, leveraging modern workflow orchestration tools and artificial intelligence platforms 

• Develop and optimize end-to-end process automation strategies, ensuring seamless integration across systems and data sources 

• Drive continuous improvement by analyzing workflow performance, identifying bottlenecks, and implementing enhancements to increase efficiency and effectiveness 

• Collaborate with cross-functional stakeholders to ensure alignment on priorities, timelines, and expected outcomes for automation initiatives 

• Establish best practices and governance frameworks for artificial intelligence–driven workflows, ensuring ethical, responsible, and compliant use of technology 

• Partner with Change Management and Capabilities teams to drive training, upskilling, communications, and adoption of intelligent workflows across impacted teams 

• Support the development of scalable frameworks and reusable assets that accelerate the deployment of new workflows across regions and functions 

• Maintain appropriate information security and governance for all AI solutions  

Requirements & Qualifications 

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related field 

• 7+ years of experience in workflow engineering, process automation, digital transformation, or related technology roles 

• Proven experience designing and implementing workflow automation solutions using modern platforms and tools 

• Strong understanding of artificial intelligence and machine learning concepts, including practical application in business processes 

• Demonstrated ability to translate business needs into technical solutions that deliver measurable outcomes 

• Experience working across cross-functional teams to drive alignment and execute complex initiatives 

• Proficiency in data analysis and data-driven decision-making, with the ability to interpret and leverage insights to optimize workflows 

• Familiarity with enterprise systems integration, application programming interfaces, and cloud-based architectures 

• Strong communication skills, with the ability to clearly articulate technical concepts to non-technical stakeholders 

• Knowledge of responsible artificial intelligence practices, including governance, privacy, and ethical considerations 

• Experience supporting change management efforts and driving adoption of new technologies across organizations 

• Ability to operate effectively in a fast-paced, evolving environment with a growth mindset and continuous learning orientation 

Candidate Attributes 

• Demonstrates curiosity and a growth mindset, actively exploring new technologies and continuously building skills in artificial intelligence and automation 

• Brings a problem-solving orientation, approaching ambiguous challenges with structured thinking and a focus on practical outcomes 

• Balances strategic thinking with execution, able to move from concept to delivery while maintaining focus on impact 

• Collaborates effectively across diverse teams, building strong relationships and aligning stakeholders toward shared goals 

• Operates with accountability and ownership, taking responsibility for delivering high-quality solutions in a dynamic environment 

• Shows adaptability and resilience, thriving in evolving priorities and rapidly changing digital landscapes 

• Communicates with clarity and influence, tailoring messages to different audiences and driving alignment 

• Demonstrates customer and user focus, designing workflows that enhance experience and usability for end users 

• Upholds high standards of integrity and ensures responsible, ethical use of data and artificial intelligence 

• Brings a continuous improvement mindset, proactively identifying opportunities to enhance processes and outcomes 

Core Capabilities Needed 

1. Advanced Workflow Engineering & Automation Design 
Ability to design, architect, and deliver end‑to‑end automated workflows using modern orchestration platforms, integrating multiple systems and data sources to streamline business processes. 

2. Applied Artificial Intelligence & Machine Learning Fluency 
Demonstrates strong understanding of artificial intelligence concepts and practical application within enterprise workflows, including decision automation, predictive models, and intelligent process routing. 

3. Business Process Transformation 
Capability to analyze, redesign, and optimize complex business processes by identifying inefficiencies and embedding automation and AI to drive measurable performance improvements. 

4. Systems Integration & Architecture Thinking 
Ability to design solutions that connect enterprise platforms (via APIs, middleware, cloud services), ensuring scalability, reliability, and interoperability across the technology landscape. 

5. Data Literacy & Insight Application 
Interprets workflow performance data, identifies trends and bottlenecks, and applies insights to continuously improve efficiency, quality, and decision-making outcomes. 

6. Problem Solving in Ambiguous Environments 
Applies structured thinking to solve complex, undefined problems; translates evolving business needs into clear technical solutions with practical implementation paths. 

7. Stakeholder Influence & Cross-Functional Collaboration 
Builds alignment across Digital, Technology, and business teams; influences decisions without direct authority; effectively bridges technical and non-technical stakeholders. 

8. Digital Strategy Execution 
Contributes to broader digital strategy by identifying high-value use cases, prioritizing initiatives, and executing solutions that align with enterprise transformation goals. 

9. Responsible AI & Governance Awareness 
Ensures solutions adhere to ethical AI principles, including data privacy, bias mitigation, compliance standards, and governance frameworks within workflow design. 

10. Change Enablement & Adoption Leadership 
Drives adoption of new technologies by supporting change management, building user trust, and ensuring solutions are intuitive, scalable, and sustainable in real business environments. 

What We’ll Do for You 

• Provide the opportunity to shape enterprise-wide digital transformation initiatives and influence how artificial intelligence is embedded into everyday work 

• Offer exposure to global teams, diverse business challenges, and high-impact projects that accelerate your professional growth 

• Support your development through access to cutting-edge tools, learning resources, and collaboration with leading digital and technology experts 

• Create an environment that values innovation, experimentation, and continuous improvement, empowering you to bring new ideas to life