Director, Data Analytics & AI
adidas
full-time
Posted on:
Location Type: Office
Location: Bogota • Colombia
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Job Level
About the role
- Own the data architecture for LAM.
- Design the technical roadmap that aligns with global Data & AI standards while solving regional realities.
- Build the lakehouse, define integration patterns, set modeling standards, and make sure everything scales.
- Build the data engineering capability in Colombia.
- Stand up the team that ingests, transforms, and models data from every source system we have, commercial, digital, finance, SCM, HR, market data, you name it.
- Make sure pipelines are robust, documented, and stay up.
- Drive data quality, governance, and security.
- Implement the controls and monitoring that keep data trustworthy.
- Work with global teams on compliance stuff like privacy and security.
- Own the semantic layers that everyone downstream depends on.
- Lead advanced analytics and AI solutions.
- Build out the data science capability that creates models people use and get industrialized properly with real monitoring and lifecycle management.
- Partner with BD Analytics as their primary counterpart.
- Co-own the joint analytics roadmap.
- Translate business needs into technical solutions.
- Make sure what you build gets adopted, not just shipped.
- Work with all functions to understand their data needs.
- Partner with Digital, Wholesale, Retail, Finance, SCM, HR, Brand, and Markets to figure out upstream constraints and align on how new data sources get introduced.
- Design the DNA organization structure.
- Co-design the future team with Tech, BD, and HR.
- Attract talent across data engineering, data science, and analytics product ownership.
- Build a culture of engineering excellence and business collaboration.
Requirements
- 10+ years in data engineering, analytics platforms, data science, or related fields with real exposure to modern data architectures (cloud lakehouse, streaming, APIs)
- At least 5 years leading multi-disciplinary data/analytics teams in a technology leadership role (regional or global scope)
- Deep understanding of data engineering (ETL/ELT, data modeling, orchestration, CI/CD for data), cloud data platforms (lakehouse/warehouse, semantic models, Power BI)
- Solid knowledge of advanced analytics concepts—forecasting, optimization, propensity modeling, recommendation engines—and experience working with data scientists and MLOps engineers
- Can translate business problems into technical architectures and data products with clear SLAs
- Comfortable in ambiguity and transformation. High ownership and pragmatism—balances perfect architecture with business value now
- Fluency in English required; Spanish and/or Portuguese a strong plus
- Proven ability to deliver advanced analytics and AI solutions in production
- As manager of technical teams, minimum 8 years management experience required.
Benefits
- Health insurance
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringanalytics platformsdata sciencemodern data architecturesETLELTdata modelingorchestrationCI/CDadvanced analytics
Soft Skills
leadershipownershippragmatismcollaborationcommunicationproblem-solvingadaptabilityteam buildingstrategic thinkingtransformation