About BCG Platinion

BCG Platinion is part of BCG’s Tech and Digital Advantage (TDA) practice and partners with clients to deliver competitive advantage through data, technology, and digital innovation.

BCG Platinion's presence spans across the globe, with offices in Asia, Europe, South and North America.

We guide clients into the future to push the status quo, overcome tech limitations, and enable our clients to go further in their digital journeys.

What You’ll Do

As a Senior AI Tech Consultant, you’ll own an end-to-end responsibility for an individual module within a client engagement. You will develop strategies, win buy‑in, and collaborate with clients to transform potential into performance across a variety of digital topics.

You’ll help clients answer questions such as “How will AI disrupt my business model?”, “How can businesses use data and analytics to create highly personalized outreach delivered through a seamless omnichannel experience?”, and “How can I ship higher quality digital services faster by using agile?”.

Technical Profile

- Technical experts with extensive IT expertise that drives innovation for our clients, rooted in practicality.
- Collaborative interdisciplinary team players who seek alignment and establish relationships ranging from cross‑functional stakeholder groups to existing teams.
- Comfortable with ambiguity, confident working through the unknown.
- Change agents who align and onboard teams to implement new processes and toolsets, guide organizations to optimize IT best practices.
- Influencers who build strong relationships to build trust and influence stakeholders.




- Agile advocates versed in Agile methodologies and use their expertise to strategically tackle difficult challenges.

Key Areas of Expertise

At Platinion, we expect our AI Tech consultants to deliver against a broad set of topics grounded in deep technological knowledge in 2‑3 of our primary areas of expertise such as:

- Data and digital analytics platforms.
- Cloud infrastructure and technologies.
- Data management capabilities.
- Business IT architecture.
- Software and product management (including Agile ways of working).
- Tech, Enterprise Architecture and Data governance.

Experience with a wide breadth of tech/digital offerings, including:

- Developing roadmaps and current state assessments for IT organizations in large companies across various industries.
- Orchestrating technical program delivery across business stakeholders, complex vendor landscapes and technology ecosystems.
- IT benchmarking and recommendations for IT cost take‑out initiatives.
- Developing future state IT vendor landscape, vendor assessments/selects automation, tech cost benefits analysis, eCommerce, platform valuation and design.
- Supporting IT functions during mergers and acquisitions, including the functional and technical transformation of an organization’s IT department.




- Communicating the differences and benefits between multiple cloud computer providers and strategies for migrating from on‑premise architecture.
- Utilizing working knowledge and experience with GenAI and its potential use cases and client implications to deliver both practical and visionary solutions.

Optimizing business and IT processes within complex and heavily matrixed organizations and effectively communicating a path forward for clients and internal stakeholders.

Delivering data and digital platforms using techniques such as Agile, DevSecOps, and cloud‑native architectures.

Specific In‑Demand Technology Topics

- AI & Data Implementation
- Support design and implementation of AI‑ and data‑driven solutions across business processes focusing on practical adoption and measurable impact.
- Apply working knowledge of Python, JavaScript, and prompt engineering to configure, test, and evaluate AI‑enabled and agent‑based workflows.
- Assist with integration logic enabling AI solutions to interact with enterprise systems via APIs, automation tools, or microservices.
- Contribute to monitoring, validation, guardrails, and documentation for AI solutions, including LLM‑based and agentic systems.
- Support data engineering activities such as ingestion, preparation, and transformation, and assist with model lifecycle and deployment workflows.

- Technology Stack Transformation

- Support assessment and modernization of enterprise technology stacks across core business domains (e.g., ERP, CRM, SCM, HCM).
- Apply working knowledge of cloud architectures and modern integration paradigms (e.g., API‑first, event‑driven, microservices).
- Contribute to architecture assessments, current‑state documentation, and identificati

📌 BCG Platinion | Senior AI Tech Consultant, Tech Advisory (Ciudad de México)
🏢 Boston Consulting Group (BCG)
📍 Ciudad de México