Sr. Specialist Campaign and Promotions

Area: Digital / eCommerce

Location: Colombia

Level: Entry level

Employment type: Full-time

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,