Modus CreateRemote
Senior Director - Data Engineering & Machine Learning
United States of America
Full Time
1 week ago
$200,000 - $240,000 USD
Visa Sponsor
Key skills
AIMachine LearningMLTensorFlowMLOpsData EngineeringSnowflakeBigQueryRedshiftDatabricksSparkKafkaAirflowdbtAWSAzureGCPKubernetesSageMakerCI/CDStakeholder ManagementSales
About this role
Modus Create is a global digital product engineering partner that thrives in a collaborative environment. They are seeking a Senior Director of Data Engineering & Machine Learning to lead and scale their global Data & ML practice, guiding teams in architecting data platforms and delivering AI-powered products.
Responsibilities:
- Lead and scale the global Data & ML practice
- Guide distributed teams in architecting modern data platforms
- Deliver intelligent AI/ML-powered products that drive measurable outcomes across industries
- Bridge deep technical expertise with business vision shaping data and ML strategy
- Mentor leaders and support pre-sales engagements
- Position Modus as a trusted advisor in data, AI, and machine learning transformation
Requirements:
- 15+ years of experience in data or software engineering roles, with 7+ years leading Data Engineering or ML teams
- Hands-on experience designing and scaling cloud-native data platforms on AWS, Azure, or GCP
- Deep expertise with modern data ecosystems including Databricks, Snowflake, Redshift, BigQuery, Spark, Kafka, Airflow, dbt, and Kubernetes
- Experience defining and driving machine learning strategy using platforms such as SageMaker, Azure ML, or TensorFlow
- Strong understanding of DataOps, MLOps, CI/CD for data pipelines and ML models
- Proven experience in pre-sales, solution design, proposal development, and growing data/ML engagements
- Demonstrated ability to hire, mentor, and grow high-performing distributed teams
- Strong stakeholder management skills across technical, executive, and cross-functional audiences
- Ability to translate complex technical capabilities into measurable business impact
- Experience operating in a fast-paced, global, remote-first consulting environment
- Experience integrating partnerships and capabilities across acquisitions
- Background in regulated or complex industries such as healthcare, finance, or life sciences
- Track record of building modular engineering frameworks, tooling standards, and scalable best practices
- Experience positioning AI, security, and DevSecOps modernization within enterprise clients
- Demonstrated success creating inclusive, experimentation-driven engineering cultures