Technical Director, Consumer Goods & Retail CDMX

Role Overview

As Tech Director, you own end-to-end technical solutions for Consumer Goods and Retail clients, from shaping the approach on strategic pursuits through technical direction during execution. This is a builder's leadership role: you design architectures, challenge assumptions, review the work, and raise the technical bar of everyone around you, in an organization that treats AI-accelerated engineering as the default, not an experiment.

What you will own

• End-to-end solution architecture: Design and direct technical solutions across AI, Data, Cloud, Commerce, and enterprise platforms, ensuring quality, scalability, and security from proposal through delivery.

• Technical challenge: Pressure-test estimates, architectures, dependencies, and non-functional requirements. Push back on clients and internal teams when the approach is not sound.

• Trusted advisor: Partner with client technology and business leaders to turn ambiguous problems into concrete, buildable solutions with clear trade-offs.

• AI-accelerated engineering: Apply agentic and generative AI across the SDLC — design, code, testing, documentation — with human-in-the-loop controls and real productivity outcomes, and stay hands-on enough to prove it works.

• Emerging technology adoption: Identify where AI, automation, and new platforms create genuine business capability for clients, and build the POCs that make the case.

• Technical mentorship: Grow architects and engineering leads. Set the standard for what good looks like across Studios, clients, and technology partners.

Must have

• 12+ years in enterprise technology, with proven solution architecture leadership on complex, multi-platform programs.

• Real hands-on background in code, architecture, integration, and non-functional design — and the willingness to stay close to the work.

• Solution-level fluency across enterprise platforms (Salesforce, SAP, Oracle, ServiceNow) with deeper background in at least one, plus architectural fluency across Azure, AWS, and Google Cloud.

• Practical experience with GenAI, LLMs, and agentic AI in engineering workflows.

• Fluent Spanish and English.

Nice to have

• Consumer Goods, Retail, or adjacent industry experience.

• Portuguese.

• Consulting or client-facing delivery background.