Purpose & Overall Relevance for the Organization
At adidas, we have a very clear mission: “to be the best sports brand in the world”; and a passionate purpose: “Through sport, we have the power to change lives.”
The Senior Manager AI & Automation Enablement leads the automation and AI-enabled transformation agenda for the adidas Latin America Digital Team. The role enables scalable ways of working, stronger governance, and faster execution across the regional Digital organization.
As a center of excellence for Digital Commerce Automation, the role provides strategic guidance, governance coordination, consultancy, training, process reengineering, and execution support to identify, prioritize, design, and deploy automation solutions that improve productivity, quality, speed, scalability, and decision-making.
The role requires business acumen, technical fluency, project leadership, and change management to translate business opportunities into clear automation use cases, simplify complex processes, and ensure initiatives are scalable, responsible, well documented, and adopted by the organization.
Key Responsibilities
Business Process Identification & Prioritization
- Define and manage the Digital Commerce Automation roadmap for Latin America, prioritizing initiatives based on business value, feasibility, scalability, and strategic alignment.
- Lead process discovery and reengineering across Digital Commerce, identifying inefficiencies, manual work, bottlenecks, and automation opportunities.
- Facilitate workshops with business, operations, analytics, and technical stakeholders to map current-state processes and design future-state ways of working.
- Coordinate with adidas global AI governance to ensure LAM automation and AI initiatives are responsible, secure, auditable, and aligned with global standards.
Solution Design
- Translate business needs into clear technical briefs for developers, engineers, analysts, global teams, and external partners.
- Evaluate and select automation and AI tools and platforms based on business fit, cost, scalability, and ease of integration.
- Maintain a high-level working knowledge of cloud platforms, APIs, workflow automation, and related technologies sufficient to translate between business and technical teams.
- Coordinate the design, development, testing, deployment, and continuous improvement of AI-enabled automations, tools, and digital solutions.
Adoption & Change Management
- Translate complex workflows into simplified documentation, decision flows, roles, responsibilities, and success metrics.
- Drive change management and adoption across Digital teams through training, communication, and hands-on support.
- Convert ideas into structured execution plans with clear scope, owners, timelines, milestones, dependencies, risks, KPIs, and decision points.
- Lead cross-functional execution to ensure initiatives are delivered on time and in full.
- Communicate concepts, plans, progress, risks, and impact clearly to senior leaders, operational users, and technical teams.
Key Relationships
- Digital and eCommerce leadership and regional market teams
- Technology, data, analytics, developers, engineers, and global/legal AI governance teams
- Operations, finance, supply chain, and business process owners
- External vendors and automation partners
- End users and cross-functional teams adopting automation and AI-enabled ways of working
Knowledge, Skills and Leadership Abilities
- Experience in digital transformation, automation, AI use cases, process reengineering, technology consulting, data, digital commerce operations, or related fields.
- Practical understanding of AI automation, workflow automation, cloud platforms, APIs, data integration, dashboards, and system connectivity.
- Strong ability to translate business problems into technical requirements and technical complexity into simple business language.
- Proven project management capability, including roadmap planning, stakeholder alignment, prioritization, risk management, timeline ownership, and execution follow-up.
- Strong presentation and storytelling skills.
- Curious, structured, hands-on, and comfortable working in a fast-moving, cross-functional regional environment.
Minimum Qualifications
- University degree in Business Administration, Engineering, Digital, Data, Technology, Analytics, or a related field.
- Relevant experience in digital transformation, automation, AI use cases, process reengineering, technology consulting, data, digital commerce operations, or related fields.
- Advanced English required to collaborate with global stakeholders; Spanish and/or Portuguese is a plus.
Company Culture
adidas fosters an athlete’s mindset through courage, ownership, innovation, teamplay, integrity, and respect. The company also emphasizes diversity, equity, and inclusion as part of its culture and talent processes.