Modus Create

SeniorDirector:DataEngineering&MachineLearning

$200–240k United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Director candidates.

The Brief

“Senior Director:Data Engineering & Machine Learning at Modus Create. Skills: Data Engineering, Machine Learning, AI, Data Platforms. Lead and scale global Data & ML practice. Guide distributed teams in architecting modern data platforms”

What You'll Achieve.

Drive measurable outcomes across industries; Grow data/ML engagements

What They're Looking For.

Must Have

15+ years of experience in data or software engineering, 7+ years leading Data Engineering or ML teams, Hands-on experience designing and scaling cloud-native data platforms, Deep expertise with modern data ecosystems, Experience defining and driving machine learning strategy, Proven experience in pre-sales, solution design, proposal development, Demonstrated ability to hire, mentor, and grow high-performing distributed teams, Stakeholder management skills, Ability to translate complex technical capabilities into measurable business impact, Experience operating in a fast-paced, global, remote-first consulting environment

Nice to Have

Experience integrating partnerships and capabilities across acquisitions, Background in regulated or complex industries, Track record of building modular engineering frameworks, Track record of building tooling standards, Track record of building scalable best practices, Experience positioning AI modernization within enterprise clients, Experience positioning security modernization within enterprise clients, Experience positioning DevSecOps modernization within enterprise clients, Demonstrated success creating inclusive, experimentation-driven engineering cultures

What You'll Do.

Lead and scale global Data & ML practice

Guide distributed teams in architecting modern data platforms

Deliver intelligent AI/ML-powered products

Shape data and ML strategy

Support pre-sales engagements

Position Modus as a trusted advisor in data

How You'll Work.

Team & Collaboration

Distributed teams; Cross-functional; Growth teams; Partnerships teams; Operations teams; Engineering teams

Communication Scope

Stakeholder management

Full 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 lea

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