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Senior Director - Data Engineering & Machine Learning

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Modus Create

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Location:
Canada

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Lead the Data Revolution at Modus Create. At Modus Create, we empower the world’s most ambitious companies through thoughtful, modern, data-driven digital solutions. As Senior Director of Data Engineering & Machine Learning, you’ll help shape the future by leading inclusive, collaborative teams that architect and scale data platforms, and deliver intelligent AI/ML-powered products. Our work drives transformative outcomes across healthcare, finance, life sciences, automotive, and beyond. We’re seeking a strategic, hands-on leader with a passion for mentoring others, who bridges deep technical expertise with business-driven vision—someone who can shape data and ML strategy, guide clients through transformation, and empower a new generation of data leaders.

Job Responsibility:

  • Build Modern Data Platforms
  • Design and oversee architecture for cloud-native data platforms, pipelines, and streaming systems on AWS, Azure, or GCP
  • Ensure robust solutions using platforms such as Databricks, Snowflake, Redshift, BigQuery, Spark, Kafka, Airflow, dbt, and Kubernetes
  • Deliver Products that are Intelligent
  • Define and drive responsible ML strategy, from model development to integration, using platforms like SageMaker, Azure ML, or TensorFlow
  • Enable smarter client experiences by embedding ML into applications, automation, and analytics
  • Lead & Grow Teams
  • Foster a culture of trust, continuous learning, and experimentation by hiring, mentoring, and empowering distributed teams of data and ML engineers
  • Define career paths, feedback frameworks, and learning programs grounded in a culture of experimentation,continuous growth, and a sense of belonging at every level
  • Shape Technical Strategy & Best Practices
  • Develop modular runbooks, tooling standards, and engineering frameworks optimizing for scalability, observability, and security
  • Champion collaborative practices like Agile/Lean development, dataOps, MLOps, and CI/CD for data pipelines and models
  • Business Development & Sales Enablement
  • Partner with Sales, Partnerships, and Account Teams to find and co-create thoughtful, outcome-driven data & ML engagements
  • Translate client needs into solution designs, shareable collateral, and winning proposals and estimates that reflect both technical strength and business empathy
  • Serve as a technical leader in pitches, RFPs, and client workshops, establishing Modus as a trusted data, AI, and ML advisor, while building client confidence through clarity and consultative engagement
  • Cross-Functional Collaboration
  • Work with product, design, platform, and engineering teams on integrated, end-to-end data solutions
  • Translate capabilities into human impact by aligning closely with both client technical and business stakeholders

Requirements:

  • 15+ years in data or software engineering roles
  • 7+ years leading Data Engineering/ML teams—ideally at scale or in global consulting contexts
  • Hands-on experience with cloud data platforms, big data toolchains (Spark, Kafka), data transformation tools (Airflow, dbt), and ML platforms
  • Success in pre-sales, solutioning, and growing data/ML engagements within enterprise or mid-market accounts
  • Demonstrated ability to create enablement programs, uplift team capabilities, and grow inclusive, high-performing engineering cultures
  • Deep empathy for client pain points and the ability to craft and deliver impactful, measurable solutions
  • Excellent across technical, executive, and cross-functional settings, with an ability to successfully navigate diverse cultural differences
What we offer:
  • Remote work with flexible working hours
  • Modus Global Office Programme:for when you want to get out of your home, we offer on-demand access to private offices, meeting rooms, coworking spaces and business lounges in locations in over 120 countries
  • Employee Referral Program
  • Client Referral Program
  • Travel according to client or team needs
  • The chance to work side-by-side with thought leaders in emerging tech
  • Access to more than 12,000 courses with a licensed Coursera account
  • Possibility to obtain paid certification/courses if they align with company goals and are relevant to the employee's role

Additional Information:

Job Posted:
December 10, 2025

Employment Type:
Fulltime
Work Type:
Remote work
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