Senior Director - Data Engineering & Machine Learning

Jobgether

4d • $200,000 - $240,000 • Remote

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed