Description
The Role
As a Senior Ad Ops Engineer within the Marketing Applied Sciences organization, you will be responsible for architecting and developing advanced, well managed, and reusable data products that support marketing activation, analytics, and insights. You will work extensively with marketing platform data, partner data feeds, and non-standard data formats to build reliable, scalable data pipelines and storage solutions. This role requires deep hands-on experience with marketing ecosystems, digital advertising data structures, and agency or platform-side operations.
You will also be responsible for implementing automated data quality and validation frameworks, including LLM-powered agents focused solely on data consistency, anomaly detection, and schema integrity. This includes integrating these validation systems directly into production pipelines to ensure accuracy, observability, and compliance across all marketing datasets.
Additionally, the Senior Ad Ops Engineer will integrate with third-party marketing platforms and APIs, support data discovery across inconsistent partner datasets, and build solutions that provide clean, trustworthy data for activation, measurement, and optimization.
What You’ll Do
• Architect, build, and optimize data pipelines for marketing and advertising datasets, including nonstandard or semi-structured partner formats
• Implement data models, storage patterns, and orchestration workflows that support campaign activation, attribution, measurement, and analytics
• Build and maintain automated data quality and validation systems using LLM-based and rule-based approaches
• Integrate and normalize data from marketing platforms, digital agencies, and third-party partners, ensuring performance, reliability, and consistency
• Develop ingestion frameworks for log-level data, event streams, pixel files, and other marketing specific formats
• Establish and maintain data governance practices including schema tracking, lineage awareness, metadata standards, and privacy compliance
• Build observability into pipelines with logging, monitoring, and anomaly detection for operational stability
• Collaborate with cross-functional teams to interpret marketing data requirements and translate them into scalable technical solutions
Your Skills & Abilities (Required Qualifications)
• Bachelor’s degree (Master’s preferred) in Computer Science, Data Engineering, Information Systems, or a related technical field
• 5+ years of experience in data engineering, advertising technology engineering, or marketing data engineering
• 2+ years of experience working with digital advertising, marketing analytics, digital agencies, or marketing activation platforms
• Experience with marketing or ad tech ecosystems such as Yahoo, Google, Meta, The Trade Desk, Adobe, Salesforce, or similar
• Proficiency in Python, SQL, and distributed data frameworks such as PySpark
• Hands-on expertise working with non-standard marketing data formats, including log-level ad server files, event streams, pixel data, or partner exports
• Experience with modern data platforms such as Databricks, Snowflake, Kafka, dbt, or Airflow
• Experience architecting solutions in cloud environments (Azure preferred; AWS/GCP acceptable)
• Strong understanding of data modeling, warehousing, governance, schema evolution, and data reliability practices
• Experience building automated or agentic data quality validation systems, including LLM-driven or rules-based frameworks
• Ability to translate complex marketing data needs into scalable, production-ready engineering solutions
What Will Give You A Competitive Edge (Preferred Qualifications)
• Master’s degree in Computer Science, ML Engineering, Data Engineering, Information Systems, Mathematics, or a related technical field.
• Experience with real-time or streaming pipelines for marketing activation
• Experience with Databricks Mosaic AI and LLMOps workflows
• Familiarity with multi-touch attribution, incrementality, or identity resolution datasets
• Experience processing large-scale partner or agency data deliveries
• Experience working with Pseudonymous Identity services
The salary range for this role is ($129,400 - $198,400). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
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 includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Ce poste permet le travail à distance. Cela signifie que le candidat retenu peut être basé n'importe où dans le pays et qu'il n'est pas censé se présenter sur un site de GM, sauf si son supérieur le lui demande.
Le candidat retenu devra voyager <25 % pour ce poste.
Ce poste ne donne pas droit à des indemnités de déménagement. Les éventuels frais de déménagement seront à la charge du candidat retenu.
Renseignements sur la diversité
General Motors est résolue à être un lieu de travail qui est non seulement exempt de discrimination illégale, mais aussi un endroit qui favorise véritablement l'inclusion et l'appartenance. Nous sommes convaincus que la diversité de la main-d'œuvre permet de créer un environnement dans lequel nos employés peuvent s'épanouir et développer de meilleurs produits pour nos clients. Nous encourageons les candidats intéressés à consulter les principales responsabilités et compétences requises pour chaque rôle et à postuler à tout poste qui leur correspond. Dans le cadre du processus de recrutement, les candidats peuvent devoir, le cas échéant, réussir une évaluation liée au poste ou une présélection d'emploi avant d'être embauchés. Pour en savoir plus, consultez notre processus de recrutement.
Déclaration concernant l'égalité d'accès à l'emploi (É.-U.)
General Motors est fière d'être un employeur souscrivant au principe de l'égalité d'accès à l'emploi. Tous les candidats qualifiés seront pris en compte, sans égard à la race, à la couleur, à la religion, au sexe, à l'orientation sexuelle, à l'identité de genre, à l'origine ethnique, aux situations de handicap ou au statut protégé d'ancien combattant.
Aménagements (É.-U. et Canada)
General Motors offre des occasions à tous les chercheurs d'emploi, y compris les personnes handicapées. Si vous avez besoin d'un accommodement raisonnable pour vous aider dans votre recherche d'emploi ou la soumission de votre candidature, envoyez-nous un courriel à l'adresse [email protected] ou appelez-nous au 800 865-7580. Veuillez inclure dans votre courriel une description spécifique du type d'accommodement demandé, ainsi que le titre d'emploi et le numéro de demande du poste auquel vous postulez.