SR SPECIALIST DIGITAL CAMPAIGN & PROMOTIONS

Adidas

ROLE PURPOSE

Support the reliable execution and continuous improvement of digital commerce campaigns, promotions, content and operational workflows across Latin America. The role combines hands-on eCommerce support with data analysis, process documentation and practical use of approved AI and automation tools. It is designed for an early-career professional who learns digital tools quickly, enjoys solving operational problems and wants to grow into broader digital commerce, analytics or automation responsibilities.

What success looks like

• Campaigns, promotions and content updates are delivered accurately, on time and with clear validation.
• Operational issues are identified early, documented clearly and escalated to the right support teams.
• Recurring manual work is simplified through templates, approved AI tools, lightweight automation and better ways of working.
• Campaign and voucher performance is tracked consistently, with clear insights and improvement opportunities shared with the team.
• Knowledge is documented so processes are easier to learn, repeat and scale across markets.

Key responsibilities

• Campaign, promotion and content execution

• Support the setup, scheduling, quality assurance and launch of digital campaigns and promotions across website and app experiences.

• Complete content and page updates, including homepage, campaign pages, category and product-listing pages, promotional callouts, help content and checkout-related content.

• Assist with voucher and promotion configurations, validation and first-line support across LAM webstores.

• Coordinate timelines, inputs and approvals with campaign, content, market, consumer experience, operations and global support teams.

• Follow launch checklists, test configurations and confirm that changes meet the business brief before and after go-live.

• Data, reporting and insight support

• Maintain campaign, promotion, voucher and workload trackers with accurate and timely information.

• Use Excel and available analytics or visualization tools to identify trends, exceptions, recurring issues and optimization opportunities.

• Monitor relevant funnel, engagement, campaign and consumer-experience indicators, flagging unusual results or operational risks.

• Prepare clear summaries and simple visualizations that help the team make fact-based decisions.

• AI-enabled productivity and automation

• Use approved generative AI and productivity tools to accelerate research, first drafts, documentation, summaries, quality checks and routine analysis.

• Identify repetitive tasks and suggest practical automation opportunities before adding unnecessary complexity.

• Help build and test simple templates, workflows, prompts, dashboards or low-code/no-code automations with guidance from experienced team members.

• Validate AI-assisted outputs, protect confidential information and follow company requirements for security, data protection and responsible AI use.

• Share effective prompts, examples and lessons learned so the team can adopt better AI-enabled ways of working.

• Process improvement, documentation and support

• Document current processes, work instructions, checklists, known issues and support handovers in clear business language.

• Support user acceptance testing and rollout of new campaign, promotion, content or automation capabilities.

• Log, troubleshoot and monitor incidents, providing complete information to technical or platform-support teams.

• Collect feedback from users and markets, and help translate it into clear improvement requirements.

• Contribute to team routines, knowledge-sharing sessions and continuous-improvement actions.

• Candidate profile

• Must-have capabilities

• Curiosity and learning agility: able to learn new tools and processes quickly.

• Active and thoughtful user of AI tools for productivity, research, analysis or automation.

• Growth mindset, openness to feedback and willingness to experiment responsibly.

• Strong attention to detail, organization and follow-through.

• Analytical problem-solving and comfort working with data.

• Clear written and verbal communication in English and Spanish.

• Collaborative approach and confidence asking questions when requirements are unclear.

• Trainable or preferred experience

• Internship, academic project or up to 1–2 years of relevant experience in eCommerce, digital marketing, operations, analytics, technology or project support.

• Excel skills such as formulas, pivot tables and charts.

• Exposure to Power BI, Tableau, Looker, web analytics or similar tools.

• Basic familiarity with low-code/no-code automation, SQL, Python, APIs or workflow tools.

• Experience supporting websites, apps, campaigns, promotions, content management or digital projects.

• Portuguese is a plus, but not required.

• Education and experience

• University degree completed or in progress in Business, Marketing, Digital, Economics, Engineering, Data, Technology, Communications or a related field, or equivalent practical experience.

• This is an early-career role. Demonstrated skills through internships, academic work, freelance projects, volunteering or personal projects are relevant and welcome.

• Deep expertise in specific eCommerce platforms, coding languages or analytics tools is not required at entry. The ability and motivation to learn are essential.

• Key relationships

• Campaigns and Promotions, Digital Activation and Consumer Experience teams

• Regional and local Digital / eCommerce market teams

• Analytics, SEO, CRM, Product Data, Digital Visual Merchandising and Operations teams

• Technology, platform-support, global product and automation partners

• External service providers, when required

• Success measures

• Execution quality: Accuracy and on-time completion of assigned campaign, promotion and content tasks; effective use of checklists and validations.

• Operational reliability: Quality of issue logging, follow-up, escalation and closure; reduction in avoidable rework.

• AI and automation adoption: Responsible use of approved AI tools; practical improvements to recurring work; reusable prompts, templates or simple automations.

• Insights and reporting: Timeliness and accuracy of trackers and reports; usefulness of identified trends, exceptions and opportunities.

• Learning and collaboration: Progress in tool proficiency, quality of documentation, responsiveness to feedback and contribution to team knowledge sharing.

• Why this role is attractive

• Build hands-on experience across campaigns, promotions, content, analytics and consumer experience in a regional digital commerce environment.

• Learn from specialists across business, technology, data and operations while contributing from day one.

• Develop practical AI and automation capability with real business use cases, appropriate guidance and responsible-use guardrails.

• Create a foundation for future growth into digital commerce operations, campaign optimization, analytics, product, project management or automation roles.

• At adidas, we strongly believe that embedding diversity, equity, and inclusion (DEI) into our culture and talent processes gives our employees a sense of belonging and our brand a real competitive advantage.

• Culture Starts With People, It Starts With You –

• By recruiting talent and developing our people to reflect the rich diversity of our consumers and communities, we foster a culture of inclusion that engages our employees and authentically connects our brand with our consumers.