Director of Engineering, Data Team

Who We Are

At Platform Science, we’re working to connect everything that moves.

Founded in 2015, we are an open IoT platform that partners with innovative fleets, application developers, vehicle manufacturers, and equipment providers in the transportation industry to deliver revolutionary solutions to supply chain professionals across the globe.

Our employees are an engaging, diverse group of people who believe in the power of great ideas. We hire people with different experiences and perspectives to build a company culture that fuels growth through innovation.

We value thoughtful actions and empathy for others.  We approach challenges with resiliency and creativity, while encouraging transparency because, no matter our backgrounds or responsibilities, we are one team.

About the Role

We’re looking for a Director of Engineering, Data Team to lead and scale our data organization, spanning Data Engineering, Analytics Engineering, Data Analytics, and Data Science. You will oversee a multidisciplinary team responsible for building data infrastructure, defining core metrics, delivering business insights, and advancing machine learning capabilities across Platform Science.

In this role, you’ll drive the vision, strategy, and execution for our entire data stack—from scalable pipelines and modeling frameworks to analytics products and data science initiatives. You will play a critical role in enabling data-informed decision-making across Product, Engineering, and Executive teams, while fostering a culture of technical excellence, collaboration, and business impact.

Essential Responsibilities

• Manage and grow high-performing teams across Data Engineering, Analytics Engineering, Data Analytics, and Data Science. Lead through both direct reports and managers to scale impact, foster collaboration, and support career development.
• Define and execute a cohesive strategy for how Platform Science collects, models, stores, analyzes, and leverages data to drive product innovation and business decisions.
• Ensure the Data team delivers measurable business value by connecting projects to product, revenue, efficiency, or customer impact goals.
• Build and lead the Data Science function from the ground up, including hiring, infrastructure, tooling, and a roadmap focused on experimentation, applied ML, and intelligent product features.
• Champion data quality, governance, privacy, and responsible usage, while supporting your managers in scaling best practices and tooling across teams.
• Act as a thought partner to Product, Engineering, and Executive leaders, aligning cross-functional priorities, setting direction, and ensuring the data organization is positioned for long-term success.
• Oversee the development and operation of reliable, scalable, and secure data platforms, including ingestion, processing, and orchestration pipelines that support real-time and batch use cases, by guiding senior engineers and empowering data engineering managers.
• Direct the development of robust data models, semantic layers, and standardized metrics to power self-serve analytics and decision-making, in close partnership with analytics and engineering leads.
• Guide analytics and data science teams in partnering with stakeholders to surface insights, define KPIs, and measure performance, while supporting analytics managers in growing strong relationships across the business.

Experience:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 10+ years of experience designing, building, and operating modern data systems at scale
• 5+ years leading high-performing data teams, including data engineers, analysts, and scientists at both individual contributor and managerial levels 
• 5+ years of hands-on programming experience, preferably in Python
• Expertise with modern data technologies such as Airflow, dbt, and Snowflake (or equivalents)
• Demonstrated ability to translate complex business problems into data opportunities and shape product strategy through data-driven insights
• Experience in growing new functions or scaling teams through inflection points
• Experience with cloud native services
• Exceptional communicator and inclusive people leader with a strong track record of building resilient, collaborative teams
• Highly effective in cross-functional environments, partnering seamlessly with Product, Engineering, and Business stakeholders

Preferred Experience:

• Proven experience delivering production-grade AI/ML solutions, including model deployment, monitoring, and integration into user-facing products
• Deep proficiency with AWS data services, including tools such as Kinesis, MWAA, Lambda, ECS, and EKS

Platform Science Benefits Highlights

The company offers various benefits to regular, full-time employees including: 

• Medical, dental, and vision insurance
• Short-term and long-term disability insurances
• AD&D and life insurance
• 401k plan
• Paid vacation, sick leave and holidays
• Six weeks of paid parental leave

For more information please see the Benefits Highlights brochure for regular, full-time employees.

This is an exempt role. Our job titles for each posting may span across more than one job level. The estimated base salary for this role is between $190,201 and $284,690. The range displayed on each job posting reflects the minimum and maximum target range for new hire base salaries across all US locations. Compensation packages are based on many factors unique to each candidate, including but not limited to skill set, work experience, relevant trainings and certifications, business needs, market demands and specific geographical location. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, and benefits.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

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Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

At this time we only consider candidates in these states: AL, AR, AZ, CA, CO, FL, GA, ID, IL, KY, MA, MD, MI, MN, MO, NC, NH, NV, NY, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, and WI. In the future we plan to add more states.
Beware job scams! Our recruiters use @platformscience.com emails only. We don’t interview via text/message. We don't ask for software downloads (except Zoom) or sensitive info (like SSN/bank). Suspect fraud? Report it to law enforcement & [email protected].