Senior Director of Data Engineering & Machine Learning, Modus Create

• 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

Desirable

• We are seeking a Senior Director of Data Engineering & Machine Learning to lead and scale our global Data & ML practice. In this strategic leadership role, you will guide distributed teams in architecting modern data platforms and delivering intelligent AI/ML-powered products that drive measurable outcomes across industries
• Reporting to the VP of Product Engineering Services, you will bridge deep technical expertise with business vision shaping data and ML strategy, mentoring leaders, supporting pre-sales engagements, and positioning Modus as a trusted advisor in data, AI, and machine learning transformation