7 publicaciones de empleo destacadas de python developer en xochitenco méx. (¡Están contratando!)

Data and AI delivery Lead
Siemens —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- Informática
- SQL
9h
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Capital One —Ciudad de México, CDMX
- Correo electrónico
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The Chemours Company —Ciudad de México, CDMX
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MongoDB —Ciudad de México, CDMX
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Vonage —Ciudad de México, CDMX
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Data and AI delivery Lead

Siemens -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo
Hace 9 horas

Cualificaciones

Power BI
SAFe
Modelado de datos
Administración de personal
Informática
Estructura de datos
Cadena de suministro
Sistemas de información
Tableau
SQL
Licenciatura
Experiencia en manufactura
Python

Descripción completa del empleo

Data and AI Delivery Lead

We empower our people to stay resilient and relevant in a constantly changing world. We're looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you'd make a great addition to our vibrant team.

We are seeking an experienced Data and AI Delivery Lead to join our Americas Analytics and AI team. This individual will play a critical role in evolving our data products into AI-ready, agent-compatible assets while working closely with business stakeholders to reimagine processes through the lens of Agentic AI and modern data architectures.

At IT DA, our regional data analytics team drives transformative change by bringing together platforms, applications, and solutions into a unified ecosystem. We support business functions across Siemens North America and South America to optimize processes, enable intelligent decision-making, and position the organization for an AI-first future. This role is central to that mission.

This position will be based out of our Mexico office, onsite.

Key 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.

You'll win us over by having the following qualifications:

Basic Qualifications:

Bachelor's degree in Computer Science, Information Systems, or a 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.

Preferred Qualifications:

Experience in manufacturing, supply chain, or industrial domain data environments.
Knowledge of change management principles and experience driving technology adoption.
Strong stakeholder management and the ability to influence without direct authority.
Experience working with offshore and nearshore delivery teams in a global organization.
Experience with Snowflake Cortex AI, MCP (Model Context Protocol), or agentic AI frameworks.
Familiarity with dbt, data pipeline orchestration, and CI/CD for data products.
Understanding of AI/ML concepts including RAG, LLMs, semantic search, and AI agents.

This is an opportunity for a Data and AI Delivery Lead to shape the future of how data products are designed, built, and consumed across our organization. If you are passionate about combining data architecture with AI innovation and thrive in a fast-paced, cross-functional environment, we encourage you to apply.

You'll benefit from:

Siemens offers a variety of health and wellness benefits to employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html.

The pay range for this position is TO BE ADDED. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location.

Create a better #TomorrowWithUs

About Siemens:

We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with purpose adding real value for customers.

Our Commitment to Diversity, Equity, and Inclusion:

We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us. Learn more about our commitment to DEI here.

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