Senior Director - Data Engineering & Machine Learning
Location: United States of America (USA)
Department: Product Leadership (201)
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
Bonus points:
- 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
You’ll Love:
- 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
By joining our team, you’ll be part of a winning squad that plays to each other’s strengths and celebrates every success together. Apply now and show us you’ve got what it takes to take your consulting skills to the next level with Modus Create!
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