Director, Data Engineering – AI

Aramark

Director of Data Engineering & AI managing technical teams at Aramark. Overseeing data pipelines, AI solutions, and team leadership for Facilities Management business.

Posted 6/29/2026full-timePhiladelphia • Pennsylvania • 🇺🇸 United StatesLead💰 $150,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expert-level proficiency in building production-grade data pipelines and deploying machine learning models, with a strong focus on AI/ML roadmaps and enterprise data architecture governance. Combines hands-on technical skills with engineering leadership to drive measurable business outcomes across diverse data domains.

Highest-signal resume keywords

PythonSQLSparkKafkaMLOps

ATS Keywords

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Hard Skills

Data Pipeline DevelopmentMachine Learning Model DeploymentGenerative AI ApplicationsData Architecture StandardsModel Monitoring Frameworks

Soft Skills

Engineering LeadershipStrategic Communication

Tools & Technologies

SnowflakeAzureCI/CD PipelinesContainerizationOrchestration Tooling

Industry Keywords

Enterprise Data DomainsAI ProductsBusiness OutcomesData Modeling Principles

Tech Stack

Tools & technologies

AzureCloudIoTKafkaPythonSparkSQL

About the role

Key responsibilities & impact

Build Architect and build production-grade data pipelines (batch and streaming) for the highest-priority or highest-ambiguity initiatives.
Write code, design model architectures, and personally develop and deploy machine learning models and generative AI applications.
Stay hands-on in production: debug critical-path issues, review production-critical code and model logic, and remain a credible technical authority by virtue of doing the work, not just overseeing it.
Define and execute the AI/ML roadmap for the line of business, identifying high-value use cases across the full data landscape.
Provide overarching oversight and governance of enterprise data architecture standards, design patterns, and data modeling principles.
Review and approve solution designs across engineering, AI, and vendor deliverables for alignment with data architecture standards.

Requirements

What you’ll need

Expert-level, current proficiency in modern data engineering: Python, SQL, Spark, streaming frameworks (e.g., Kafka), orchestration tooling, and cloud data platforms (e.g., Snowflake, Azure).
Proven, personal experience developing and deploying machine learning models and generative AI/LLM applications into production.
Hands-on experience with MLOps tooling, CI/CD pipelines, containerization, and model monitoring frameworks.
Experience working across diverse, often messy enterprise data domains (financial, labor/workforce, IoT/sensor, employee activity, client/operational) preferred over deep specialization in any single domain.
Demonstrated track record of delivering AI products that generated measurable business outcomes.
Strong engineering leadership skills with experience building and scaling delivery-oriented technical teams — paired with a clear, recent record as a top individual technical contributor, not a manager who has drifted away from the technical work.
Comfortable moving fluidly between hands-on building (coding, prototyping, debugging production issues) and strategic work (roadmaps, architecture decisions, executive communication).

Benefits

Comp & perks

Aramark offers comprehensive benefit programs and services for eligible employees including medical, dental, vision, and work/life resources.
Additional benefits may include retirement savings plans like 401(k) and paid days off such as parental leave and disability coverage.
Benefits vary by location and are subject to any legal requirements or limitations, employee eligibility status, and where the employee lives and/or works.