Mexico-Based AI & Data Delivery Lead

Siemens; Mexico; On-site; MXN 900,000 - 1,500,000; Full time

Job summary

Siemens is seeking a Data and AI Delivery Lead in Mexico City to drive data product development and AI-enabled solutions. The role collaborates with business stakeholders to define requirements, translate them into technical specs, and advance AI-ready data assets.

It requires a strong data engineering background, SAFe experience, and hands-on Snowflake and BI tool skills. You will lead cross-functional teams across regions to optimize processes and enable AI-first decision making, with a focus

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or related field from an accredited university.
• Minimum of 7 years of experience in data engineering, data product development, or data and AI delivery roles.
• Strong understanding of modern data architectures including data lakehouse, data mesh, and data-as-a-service patterns.
• Hands-on experience with Snowflake, SQL or python and data modeling techniques (dimensional, semantic, and AI-ready data structures).
• Experience with visualization tools such as Tableau and Power BI.
• Working knowledge of Agile and Scaled Agile Framework (SAFe) methodologies.
• Ability to communicate complex technical concepts to non-technical business stakeholders.

Responsibilities

• Lead data and AI delivery by collaborating with technical teams, platform teams, and IT service providers to ensure timely and quality execution of data and AI use case development.
• Work closely with business stakeholders to understand requirements, reimagine processes with Agentic AI as a core component, and translate business needs into actionable technical specifications.
• Help business users visualize the art of the possible with data and AI, and support change management to drive adoption of new solutions across functions.
• Demonstrate a strong understanding of industrial processes (e.g., manufacturing, supply chain, finance, sales operations) to ensure data products are contextually relevant and business-aligned.
• Break complex business problems into tangible deliverables, associate them with the right technology elements, and plan execution within the Scaled Agile Framework (SAFe).
• Provide regular updates on individual project status, risks, and outcomes to the PMO and business stakeholders.
• Evolve existing data products from traditional analytics models into AI-ready, agent-compatible data assets that support Snowflake Cortex, MCP, and agentic workflows.
• Collaborate with cross-functional teams including citizen developers, nominated coordinators, and IT partners to ensure seamless integration across the analytics ecosystem.

Skills

Data engineering

Data product development

AI delivery

Stakeholder communication

SAFe

Education

Bachelor's degree in Computer Science, Information Systems, or related field

Tools

Snowflake

SQL

Python

Tableau

Power BI

dbt

CI/CD for data products

Job description

Siemens is seeking a Data and AI Delivery Lead in Mexico City to drive data product development and AI-enabled solutions. The role collaborates with business stakeholders to define requirements, translate them into technical specs, and advance AI-ready data assets.

It requires a strong data engineering background, SAFe experience, and hands-on Snowflake and BI tool skills. You will lead cross-functional teams across regions to optimize processes and enable AI-first decision making, with a focus