ZipRecruiter

Log In

1

Director Chemical Engineering Data Science Jobs (NOW HIRING)

Bloom Energy

Sr. Staff Chemical Engineer

San Jose, CA · On-site

$151K - $218K/yr

This role sits at the intersection of process engineering, data science, and software, focusing on ... Apply first-principles chemical engineering to data-driven process modeling and optimization

Bloom Energy

Sr. Staff Chemical Engineer

San Jose, CA

$151K - $218K/yr

This role sits at the intersection of process engineering, data science, and software, focusing on ... Apply firstprinciples chemical engineering to data-driven process modeling and optimization

Actalent

Chemical Engineering Student

Hartland, WI

The position provides exposure to the full lifecycle of an intricate scientific process, from ... Collaborate with other team members to interpret data and develop products and processes aligned ...

next page

Showing results 1-20

All JobsChemical Engineering Data Science JobsDirector Chemical Engineering Data Science Jobs

Director Chemical Engineering Data Science information

See salary details

$73K

$194.7K

$254K

How much do director chemical engineering data science jobs pay per year?

As of Jun 13, 2026, the average yearly pay for director chemical engineering data science in the United States is $194,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,500.00 and $253,000.00 per year, depending on experience, location, and employer.

What does a Director of Chemical Engineering Data Science do?

A Director of Chemical Engineering Data Science leads teams that apply data science principles to chemical engineering challenges, such as optimizing processes, improving safety, and driving innovation. This role involves overseeing data-driven projects, collaborating with engineers and data scientists, and ensuring that advanced analytics and machine learning are effectively used in chemical engineering operations. The director also plays a strategic role in shaping data initiatives and aligning them with organizational goals.

What is the difference between Director Chemical Engineering Data Science vs Chemical Engineer?

AspectDirector Chemical Engineering Data ScienceChemical Engineer
Required CredentialsAdvanced degrees (Master's/PhD), leadership experience, data science certificationsBachelor's or Master's in Chemical Engineering, engineering licensure often preferred
Work EnvironmentStrategic leadership, cross-departmental collaboration, data-driven decision makingDesign, develop, and optimize chemical processes in manufacturing or R&D
Employer & Industry UsageTech companies, large manufacturing firms, R&D organizationsChemical plants, pharmaceuticals, energy, and manufacturing industries

The main difference is that the Director Chemical Engineering Data Science focuses on strategic leadership and data-driven insights in chemical engineering, often requiring advanced degrees and data science expertise. In contrast, a Chemical Engineer is primarily involved in designing and operating chemical processes, with a focus on technical engineering skills and practical application.

What are the key skills and qualifications needed to thrive as a Director of Chemical Engineering Data Science, and why are they important?

To thrive as a Director of Chemical Engineering Data Science, you need advanced expertise in chemical engineering principles, data science methodologies, and a graduate degree in a related field. Proficiency with statistical analysis software (e.g., Python, R), machine learning platforms, and familiarity with process simulation tools are typically required, along with relevant certifications in data science or engineering management. Strong leadership, strategic thinking, and effective communication skills help drive cross-functional teams and translate complex data into actionable business insights. These skills and qualities are crucial for leveraging data-driven solutions to optimize chemical processes, enhance innovation, and achieve organizational objectives.

How does a Director of Chemical Engineering Data Science typically collaborate with cross-functional teams to drive innovation?

A Director of Chemical Engineering Data Science frequently works alongside R&D scientists, process engineers, IT specialists, and business strategists to bridge the gap between data analytics and chemical engineering processes. This role involves leading data-driven projects, translating complex technical findings into actionable insights, and ensuring that data science initiatives align with organizational goals. Effective collaboration is essential, as the director often facilitates communication across departments, mentors interdisciplinary teams, and champions the adoption of new technologies to enhance innovation and operational efficiency.
More about Director Chemical Engineering Data Science jobs
What cities are hiring for Director Chemical Engineering Data Science jobs? Cities with the most Director Chemical Engineering Data Science job openings:
What are the most commonly searched types of Chemical Engineering Data Science jobs? The most popular types of Chemical Engineering Data Science jobs are:
What states have the most Director Chemical Engineering Data Science jobs? States with the most job openings for Director Chemical Engineering Data Science jobs include:
What job categories do people searching Director Chemical Engineering Data Science jobs look for? The top searched job categories for Director Chemical Engineering Data Science jobs are:
Director Chemical Engineering Data Science jobs near you
Infographic showing various Director Chemical Engineering Data Science job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $194,709 per year, or $93.6 per hour.

Director, Data Engineering & Data Science Engineering

RB Global Inc.

Chicago, IL

Other

Posted 9 days ago

Job description

Director Of Data Engineering & Data Science Engineering

IAA is seeking a Director of Data Engineering & Data Science Engineering to lead a highly visible, business-critical function at the intersection of data, analytics, machine learning, and business transformation. This leader will define and drive the vision, architecture, and execution for IAA's data engineering and data science capabilities, ensuring the organization can scale advanced analytics, BI, forecasting, machine learning, and AI solutions that directly support business growth and operational excellence.

This role requires a strong technical leader and business problem solver who can partner across a broad set of stakeholders including Operations, Business, Sales, Marketing, Product, and Engineering. The ideal candidate brings deep expertise in the Azure BI and data ecosystem, strong people leadership, and the ability to translate complex business needs into practical, scalable data and AI solutions.

This position reports directly to the VP of Engineering and is a critical, high-visibility leadership role within the organization.

What You'll Do

  • Lead the Data Engineering and Data Science Engineering function for IAA, setting technical vision, delivery strategy, and operating rhythm
  • Build and evolve scalable data platforms, BI architecture, and ML-enablement capabilities using the Azure data and analytics stack
  • Drive strategy and execution across Microsoft Fabric, Synapse, Power BI, Azure BI technologies, and modern cloud data platforms
  • Partner with business and functional leaders to solve high-value problems across Operations, Sales, Marketing, Product, and other key areas
  • Guide the design and implementation of robust pipelines, semantic models, dashboards, self-service analytics, forecasting solutions, and machine learning systems
  • Help shape the roadmap for advanced analytics, predictive modeling, experimentation, and AI-driven insights
  • Mentor, coach, and grow data engineering and data science talent while raising the technical bar across the team
  • Establish strong engineering practices across architecture, delivery quality, scalability, governance, and operational excellence
  • Collaborate closely with engineering leaders and cross-functional teams to ensure data and AI solutions are aligned with platform, product, and business priorities
  • Act as a senior thought partner to leadership on data strategy, technical tradeoffs, and investment priorities

What We're Looking For

  • Proven experience leading Data Engineering, BI, Analytics, and/or Data Science Engineering teams at the Director level or equivalent
  • Deep expertise in the Azure BI / data technology stack, including: Microsoft Fabric, Azure Synapse Analytics, Power BI, Broader Azure data and analytics services
  • Strong understanding of data engineering architecture, modern analytics platforms, and scalable data pipelines
  • Strong foundation in data science, machine learning, and model operationalization
  • Demonstrated ability to solve complex business problems through data, analytics, and technical leadership
  • Strong mentoring, coaching, and people leadership skills with experience growing high-performing technical teams
  • Excellent communication and stakeholder management skills; able to work effectively with a wide range of technical and non-technical partners such as Ops, Business, Sales, Marketing, Product, Engineering
  • Ability to operate successfully in a fast-paced, high-visibility environment with multiple priorities and stakeholders
  • Strong executive presence and the ability to connect technical decisions to business outcomes

Preferred Experience

  • Experience supporting enterprise use cases across operations, commercial functions, and product-driven organizations
  • Experience driving both BI modernization and data science / ML adoption within the same organization
  • Familiarity with cloud-native engineering practices, production-grade data platforms, and secure, scalable AI/ML environments
  • Experience leading organizations that combine data engineering, analytics engineering, BI, and data science under one leadership model

IAA Data Science / Engineering Technology Environment

We are looking for a leader who can guide and expand a modern data and AI ecosystem. Relevant technologies include Azure BI capabilities as well as IAA's broader data science and ML toolset, including technologies such as Python, SQL, Azure Event Hub, Apache Airflow, Synapse, Fabric, Docker, Terraform, DBT, PyTorch, TensorFlow, Vertex AI, Gemini, GPT, Prophet, TBATS, SARIMAX, scikit-learn, CI/CD pipelines, and Azure cloud platform.

Why This Role Matters

This is a critical leadership role for IAA. The Director will help shape how the company uses data, analytics, BI, and AI to make better decisions, improve business performance, unlock operational efficiencies, and create scalable competitive advantage. This leader will influence both technical direction and business outcomes across the organization.

Apply