Hiring.Camp

Martech Lead

General Motors

·

Yesterday

Location
Mexico City Headquarters - Torre GM
Workplace
Hybrid
Type
Full-time
Department
IT
Seniority
Lead
Closing date
Today
Source
Workday

Description

Job Description

Hybrid: This position requires to work 3 days on site 2 days at home remote on a full-time basis

Role Overview
A Martech Lead who connects marketing strategy, customer data, experimentation, analytics, and AI. This role owns the evolution of the marketing technology ecosystem and turns fragmented marketing signals into trusted data products, actionable insights, and scalable customer experiences.

The ideal candidate combines Martech with practical experience in data analysis, Databricks or Lakehouse environments, experimentation, identity resolution, and AI-enabled marketing.

They can move from business problems to data solutions, from test design to insight, and from insight to measurable action.

Core Responsibilities
• Lead the strategy and integration of the marketing data and technology ecosystem across CRM, customer data, media, web, analytics, activation, and measurement.
• Build and manage scalable marketing data products and pipelines using SQL, Python, Databricks, APIs, and cloud data platforms.
• Establish reliable data foundations for audience management, identity resolution, customer journeys, campaign measurement, and business reporting.
• Design and analyze A/B tests, holdouts, incrementality studies, and personalization experiments to improve marketing performance.
• Apply AI and machine learning to use cases such as lead scoring, propensity modeling, audience intelligence, journey optimization, personalization, and predictive measurement.
• Translate campaign and customer data into clear recommendations connected to leads, visits, conversions, revenue, and customer value.
• Lead data governance, privacy, consent, quality, documentation, and responsible use of customer data.
• Partner with marketing, media, analytics, engineering, agencies, and technology teams to deliver practical, scalable solutions.


Required Capabilities
• Strong SQL and Python skills for marketing data analysis, transformation, validation, and modeling.
• Hands-on experience with Databricks or a comparable cloud lakehouse environment.
• Knowledge of experimentation design, statistical analysis, incrementality, attribution, and marketing performance measurement.
• Understanding of CDPs, CRM, identity resolution, audience activation, marketing automation, personalization, and media ecosystems.
Experience applying AI or machine learning to marketing, customer, or commercial problems.
• Ability to communicate technical concepts and analytical insights clearly to senior business stakeholders.

• Ability to communicate in English and Spanish.

Technical Nice to Haves
• Experience with Adobe Experience Cloud, Adobe Analytics, Adobe Target, Salesforce Marketing Cloud or CDP, Tealium, and mParticle.
• Familiarity with media and activation platforms such as DV360, The Trade Desk, Xandr, LiveRamp, and programmatic ecosystems.
• Experience with cloud data platforms and engineering tools such as Databricks, Snowflake, BigQuery, Azure Data Factory, APIs, and modern ETL/ELT workflows.
• Familiarity with analytics and visualization tools such as Power BI, Tableau, Looker, Google Analytics 4, or similar platforms.
• Exposure to consent management, identity solutions, personalization platforms, and AI/ML tools used in marketing.

In case you need any reasonable adjustment to continue with your process, let your recruiter know.

Remember to attach your CV when applying to this vacancy.

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We respect and value what each individual contribution to our team, including their origin, education, sex, race, ethnic group, sexual orientation, gender expression and / or identity, religious context, age, generation, and disability. We believe that our ability to meet the needs and expectations of an increasingly diverse and global customer base is closely linked to the diversity and inclusion that we experience within General Motors.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship now or in the future. This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Non-Discrimination and Equal Employment Opportunities

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Skills

PythonAzureSQLMachine LearningSnowflakeDatabricksBigQueryETLSalesforceTableauPower BILookerGoogle Analytics

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