Senior Director:Data Engineering & Machine Learning
About The Position
Modus Create is seeking a Senior Director of Data Engineering & Machine Learning to lead and scale its global Data & ML practice. This strategic leadership role involves guiding distributed teams in architecting modern data platforms and delivering intelligent AI/ML-powered products that drive measurable outcomes across industries. The position reports to the VP of Product Engineering Services and requires a blend of deep technical expertise and business vision. Responsibilities include 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.
- 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.
Nice To Haves
- 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.
Responsibilities
- Lead and scale the global Data & ML practice.
- Guide distributed teams in architecting modern data platforms.
- Deliver intelligent AI/ML-powered products that drive measurable outcomes.
- Shape data and ML strategy.
- Mentor data and ML leaders.
- Support pre-sales engagements.
- Position Modus as a trusted advisor in data, AI, and machine learning transformation.
- Hire, mentor, and grow high-performing distributed teams.
- Translate complex technical capabilities into measurable business impact.
- Build modular engineering frameworks, tooling standards, and scalable best practices.
- Position AI, security, and DevSecOps modernization within enterprise clients.
- Create inclusive, experimentation-driven engineering cultures.
Benefits
- 100% remote culture grounded in autonomy, mastery, inclusion, and continuous learning.
- Opportunity to lead a global Data & ML organization that drives transformative client outcomes.
- Opportunity to build intelligent, AI-powered products across diverse industries.
- Opportunity to mentor and empower the next generation of data and ML leaders.
- Collaborate cross-functionally with Growth, Partnerships, Operations, and Engineering.
- Part of a winning squad that plays to each other’s strengths and celebrates every success together.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
