Hybrid role: This position requires to work 3 days on site 2 days at home remote on a full-time basis
What will you do?
An expert Martech Lead with a deep expertise in sophisticated marketing technology solutions, specializing in the integration and management of advanced platforms to drive customer insights, automate processes, and enhance cross-channel campaign performance. Proven ability to leverage cutting-edge tools, data science, and AI to innovate and optimize marketing strategies.
Key Skills and Platforms.
Advanced Martech Platforms:
- Customer Data Platforms (CDP): Tealium AudienceStream, Salesforce CDP, mParticle
- Data Management Platforms (DMP): Lotame, Neustar, Adobe Audience Manager (specialized use)
- Demand-Side Platforms (DSP): AppNexus, Xandr, Index Exchange
- Content & Personalization Engines: Optimizely, Adobe Target, Monetate, Dynamic Yield
- Marketing Orchestration & Automation: SAP Customer Data Cloud, SAS Customer Intelligence, Salesforce Marketing Cloud
- Identity Resolution & Data Unification: LiveRamp, The Trade Desk Unified ID, UID 2.0
Data & Analytics Technologies:
- Programming & Data Handling: Python (with Pandas, NumPy, Scikit-learn), R, SQL (advanced querying, data pipeline automation)
- Data Lakes & Warehouses: Databricks, Snowflake, Google BigQuery, Azure Synapse Analytics
- Business Intelligence & Visualization: Power BI (advanced modeling), Tableau, Looker
- Data Integration & ETL: Talend, Informatica, Azure Data Factory, Fivetran
- Campaign & Media Activation:
Programmatic Platforms: The Trade Desk, DV360 (Display & Video 360), SpotX, MediaMath
- Ad Servers & Dynamic Creative: Celtra, Google Studio, Sizmek
- Media Optimization & Attribution: Visual IQ, Nielsen Attribution, Attribution App
- Measurement & Analytics Tools:
Web & App Analytics: Google Analytics 4, Adobe Analytics 360, Heap Analytics
- Heatmaps & User Interaction: Hotjar, Crazy Egg, FullStory
- Media Performance & Audience Insights: Nielsen DCR, comScore, BritePoo
Cloud & Infrastructure:
- Cloud Platforms: Microsoft Azure (Data Factory, Machine Learning), AWS (S3, Glue, SageMaker), Google Cloud
- AI & Machine Learning: Google Cloud AI, Azure Machine Learning, DataRobot, H2O.ai
- AI for Creative Development: Adobe Sensei, Runway ML, Lumen5
Other Technologies & Integration:
- APIs & Data Integration: GraphQL, REST APIs, custom SDKs
- Identity & Privacy Technologies: UID 2.0, Decentralized Identifiers (DIDs), Consent Management Platforms (OneTrust, TrustArc).
What Can Give You a Competitive Advantage (Preferred Qualifications)
- Master’s degree or MBA (preferred, but not required).
- Computer Science Engineers, Industrial Engineers with a specialization in Data, Marketers, Public Relations Professionals, Software Engineers.
Experience managing large-scale audience measurement programs.
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.
SPONSORSHIP NOT SUPPORTED: 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.
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 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.
