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Modus Create · 3 months ago

Senior Director -Data Engineering & Machine Learning

Boston, MA

Full-time

Hybrid

Senior Level, Lead/Staff, Director/Executive

15+ years exp

Modus Create is a global consulting firm that empowers ambitious companies through modern, data-driven digital solutions. As the Senior Director of Data Engineering & Machine Learning, you will lead inclusive teams to architect and scale data platforms while delivering AI/ML-powered products across various industries. This role focuses on mentoring, strategic guidance, and fostering a culture of innovation within the organization.

ConsultingInformation TechnologyInternetMobileSoftwareWeb Development

Culture & Values

Responsibilities

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

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

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

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

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

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

Qualification

Data EngineeringMachine LearningCloud Data PlatformsBig Data ToolchainsData Transformation ToolsAgile/Lean DevelopmentDataOpsMLOpsCI/CDEmpathetic LeadershipBusiness SavvyClient-CentricCommunicatorCollaborator

Required

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

Experience with big data toolchains (Spark, Kafka)

Experience with data transformation tools (Airflow, dbt)

Experience with ML platforms

Success in pre-sales, solutioning, and growing data/ML engagements within enterprise or mid-market accounts

Demonstrated ability to create enablement programs

Ability to uplift team capabilities

Ability to grow inclusive, high-performing engineering cultures

Deep empathy for client pain points

Ability to craft and deliver impactful, measurable solutions

Excellent communication skills across technical, executive, and cross-functional settings

Ability to successfully navigate diverse cultural differences

Benefits

Remote work with flexible working hours

Flexible Time Off/PTO

Premium Health Insurance (medical, vision, and dental)

Other benefits such as FSA and HSA

401 (k)

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

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 benefits might apply contingent on your location.