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Senior Director of Data Engineering & Machine Learning

Modus Create

full-remoteleadpermanentdataengineering-management Full remote 2 days ago via WTTJ

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Tags

Machine LearningData EngineeringMLOpsDataOpsCI/CDAWSAzure MLSageMakerDatabricksSnowflake

About the role

Role overview

As Senior Director of Data Engineering & Machine Learning at Modus Create, you will lead and scale the firm’s global Data & ML practice. You’ll guide distributed teams to architect modern data platforms and deliver AI/ML-powered products, combining technical depth with business vision.

Responsibilities

  • Lead and scale the Data & ML practice globally, guiding distributed teams building data platforms and AI/ML products
  • Bridge technical expertise and business strategy to shape data & ML direction
  • Mentor and grow leaders, hiring and developing high-performing distributed teams
  • Define and drive machine learning strategy using platforms such as:
    • SageMaker
    • Azure ML
    • TensorFlow
  • Ensure successful implementation of data engineering and ML initiatives
  • Support pre-sales activities, including solution design, proposal development, and growth of data/ML engagements

Requirements

  • Ability to hire, mentor, and grow high-performing distributed teams
  • Experience defining and driving ML strategy with SageMaker, Azure ML, or TensorFlow
  • Deep expertise in modern data ecosystems, including:
    • Databricks, Snowflake, Redshift, BigQuery
    • Spark, Kafka
    • Airflow, dbt
    • Kubernetes
  • Experience operating in a fast-paced, global, remote-first consulting environment
  • Ability to translate technical capabilities into measurable business impact
  • Strong stakeholder management across technical, executive, and cross-functional audiences
  • 15+ years in data/software engineering, including 7+ years leading Data Engineering or ML teams
  • Proven pre-sales/solution design experience: pre-sales, proposal development, and growing engagements
  • Hands-on experience designing/scaling cloud-native data platforms on AWS, Azure, or GCP
  • Strong understanding of DataOps, MLOps, and CI/CD for data pipelines and ML models
  • Experience integrating partnership capabilities across acquisitions (preferred/mentioned)
  • Background in regulated or complex industries (e.g., healthcare, finance, life sciences)
  • Track record of building modular frameworks, tooling standards, and scalable best practices
  • Experience positioning AI, security, and DevSecOps modernization for enterprise clients

Nice-to-haves / Culture

  • Demonstrated success creating inclusive, experimentation-driven engineering cultures

About Modus Create

Modus Create is a consulting firm that helps organizations design and deliver technology solutions. The role focuses on leading data engineering and machine learning initiatives, spanning strategy, platform architecture, and AI/ML product delivery. Modus operates in a remote-first, global consulting environment.

Scraped 5/16/2026

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