Senior Director - Data Engineering & Machine Learning

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Director - Data Engineering & Machine Learning in United States.

This role is a senior technical and strategic leadership position focused on architecting, scaling, and operationalizing modern data and machine learning platforms. You will lead global, distributed teams to deliver robust cloud-native data solutions and intelligent AI/ML-powered products that drive measurable business outcomes. The position combines hands-on technical execution with strategic vision, enabling data-driven transformation across diverse industries. You will partner with cross-functional teams to shape data strategy, embed ML in applications, and ensure solutions are scalable, secure, and high-performing. The ideal candidate thrives in a fast-paced, collaborative environment, mentoring teams while influencing business strategy and client outcomes. You will have the opportunity to define best practices, implement cutting-edge technology, and shape a culture of innovation and continuous learning.

• Lead and mentor global, distributed Data Engineering and Machine Learning teams, fostering a culture of trust, experimentation, and growth
• Architect and oversee cloud-native data platforms, pipelines, and streaming systems on AWS, Azure, or GCP using technologies such as Databricks, Snowflake, Redshift, BigQuery, Spark, Kafka, Airflow, dbt, and Kubernetes
• Define and execute responsible ML strategies, integrating AI/ML into applications, analytics, and automation for impactful client outcomes
• Develop modular engineering frameworks, runbooks, and tooling standards to optimize scalability, observability, and security
• Partner with Sales, Partnerships, and Account Teams to co-create data & ML solutions that align technical execution with business objectives
• Translate complex client and business needs into solution designs, proposals, and technical collateral, serving as a trusted advisor in workshops and pitches
• Collaborate across product, engineering, and operations teams to deliver integrated, end-to-end data and ML solutions

• 15+ years of experience in data engineering, software engineering, or related technical roles, with 7+ years leading Data Engineering or ML teams
• Hands-on experience with cloud data platforms, big data toolchains (Spark, Kafka), data orchestration tools (Airflow, dbt), and ML frameworks (SageMaker, Azure ML, TensorFlow)
• Proven experience in designing and scaling modern, cloud-native data architectures and pipelines
• Strong business acumen with success in pre-sales, solutioning, and growing data/ML engagements
• Excellent leadership, mentoring, and team-building skills, with the ability to foster inclusive, high-performing engineering cultures
• Exceptional communication and collaboration skills, able to work effectively across technical, executive, and client-facing environments
• Demonstrated ability to translate complex technical capabilities into business impact and client solutions

• Experience in consulting or global delivery contexts
• Knowledge of Agile/Lean development, DataOps, MLOps, and CI/CD for data pipelines and models
• Track record of creating enablement programs, learning paths, and team development initiatives

• Base salary range: $200,000—$240,000 USD
• Equity opportunities and potential performance-based bonuses
• Flexible remote-first work model with optional co-working spaces globally
• Premium health, dental, and vision insurance for employees, with subsidized coverage for dependents
• Flexible Time Off (PTO) and company holidays
• 401(k) retirement plan
• Professional development opportunities, including access to licensed Coursera courses and paid certifications
• Employee referral programs and global office access program
• Collaborative, inclusive culture emphasizing autonomy, mastery, and continuous learning

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

 Why Apply Through Jobgether? 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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