Senior Manager, AI Workflow

Job Description Summary:
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.