Senior Director -Data Engineering & Machine Learning

15+ years in data or software engineering roles 7+ years leading Data Engineering/ML teams Hands-on experience with cloud data platforms Hands-on experience with big data toolchains (Spark, Kafka) Hands-on experience with data transformation tools (Airflow, dbt) Hands-on experience with ML platforms (SageMaker, Azure ML, TensorFlow) Success in pre-sales, solutioning, and growing data/ML engagements Demonstrated ability to create enablement programs and grow inclusive, high-performing engineering cultures Excellent communication and collaboration skills across technical, executive, and cross-functional settings

Design and oversee architecture for cloud-native data platforms, pipelines, and streaming systems on AWS, Azure, or GCP. Ensure robust solutions using platforms such as Databricks, Snowflake, Redshift, BigQuery, Spark, Kafka, Airflow, dbt, and Kubernetes. Define and drive responsible ML strategy, from model development to integration. Embed ML into applications, automation, and analytics. Hire, mentor, and empower distributed teams of data and ML engineers. Define career paths, feedback frameworks, and learning programs. Develop modular runbooks, tooling standards, and engineering frameworks. Champion collaborative practices like Agile/Lean development, dataOps, MLOps, and CI/CD. Partner with Sales, Partnerships, and Account Teams to find and co-create data & ML engagements. Translate client needs into solution designs, proposals, and estimates. Serve as a technical leader in pitches, RFPs, and client workshops. Work with product, design, platform, and engineering teams on integrated data solutions. Align closely with client technical and business stakeholders.