Lead and scale Modus Create's global Data & ML practice by architecting modern cloud-native data platforms and delivering AI/ML-powered products. Guide distributed teams, mentor leaders, support pre-sales engagements, and shape data/ML strategy for enterprise clients. Requires 15+ years of data engineering experience with 7+ years leading teams and deep expertise in cloud platforms and MLOps.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Join Our Team as Senior Director of Data Engineering & Machine Learning at Modus Create!
About us:
Founded in 2011, Modus is a global, fully remote team of world-class technologists who thrive in a collaborative, innovative environment. We're a digital product engineering partner for forward-thinking businesses. Our global teams work side-by-side with clients to design, build, and scale custom solutions that achieve real results and lasting change, partnering with industry leaders including AWS, GitHub, and Atlassian.
We were fully remote before it was cool! Recognized as one of the Inc. 5000 Fastest Growing Private Companies for nine years and a top remote work company by FlexJobs, we have helped some of the world's largest brands deliver powerful digital experiences.
As an award-winning Atlassian partner with a world-class team, we help organizations innovate and solve complex challenges for Fortune 500 companies and beyond, we want to hear from you.
Opportunity!
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.
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
Interested in remote work opportunities in Machine Learning & AI? Discover Machine Learning & AI Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- 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
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Leading a global Data & ML organization that drives transformative client outcomes
- Building intelligent, AI-powered products across diverse industries
- Mentoring and empowering the next generation of data and ML leaders
- Collaborating cross-functionally with Growth, Partnerships, Operations, and Engineering
- Operating in a 100% remote culture grounded in autonomy, mastery, inclusion, and continuous learning
Salary Range:
$200,000—$240,000 USD
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