About Us
Heidelberg Materials is one of the world's largest suppliers of building materials. Heidelberg Materials North America operates over 450 locations across the U.S. and Canada with approximately 9,000 employees.
The Senior Manager, HROC Digital Solutions & Innovation leads digitalization and innovation initiatives within the North American Heidelberg Materials Remote Optimization Center (HROC). This role partners with operations, engineering, data science, and Group Digital teams to enhance operational performance through advanced analytics, AI-enabled solutions, innovation programs, and technology adoption.
What You'll Be Doing
Lead the identification, prioritization, deployment, and scaling of digital solutions that improve HROC services and plant performance.
Drive the adoption of AI, advanced analytics, automation, digital twins, and decision-support tools to address operational challenges and create measurable business value.
Provide leadership and strategic direction for HROC data science resources, overseeing the analytics project portfolio and driving data-driven operational improvements.
Partner with HROC operations, engineering, CCC subject matter experts, Group Digital teams, and external technology providers to deliver performance improvements and technology adoption.
Champion innovation by managing SparkHub, facilitating Discovery Sessions and Innovation Jams, and maintaining an innovation pipeline aligned with business priorities.
Evaluate, develop, and implement innovative solutions that support continuous improvement, digital transformation, and plant performance optimization.
What Are We Looking For
Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
Proven experience leading analytics, machine learning, or AI initiatives from ideation through production deployment.
Strong understanding of Data Science methodologies, model development lifecycles, feature engineering, model evaluation, and operationalization.
Proficiency in Python and modern AI/ML frameworks such as Scikit-learn, TensorFlow, PyTorch, LangChain, Semantic Kernel, or equivalent.
Knowledge of Azure AI services, Azure Machine Learning, Azure OpenAI, Microsoft Fabric, or similar cloud-native AI environments preferred.
Experience with cloud platforms such as Azure, AWS, or Google Cloud.
Experience supporting manufacturing, process industry, heavy industrial, remote operations, or similar operational environments is preferred.
Work Environment
Office-based role with regular collaboration across HROC, plant operations, engineering, data science, and corporate teams.
Frequent interaction with internal stakeholders and external technology providers to support innovation and digital transformation initiatives.
Occasional travel may be required to support operations, project implementation, technology deployment, and innovation activities.
What We Offer
Competitive base salary and participation in our annual incentive plan.
401(k) retirement savings plan with an automatic company contribution as well as matching contributions.
Highly competitive benefits programs, including:
Medical, Dental, and Vision along with Prescription Drug Benefits
Health Saving Savings Account (HSA), Health Reimbursement Account (HRA) and Flexible Spending Account (FSA)
AD&D, Short- and Long-Term Disability Coverage as well as Basic Life Insurance
Paid Bonding Leave, 15 days of Paid Vacation, 40 hours of Paid Sick Leave and 10 Paid Holidays
Equal Opportunity Employer - Minority / Female / Veteran / Disabled
Skills Required
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field
- Proven experience leading analytics, machine learning, or artificial intelligence initiatives from ideation through production deployment
- Strong understanding of data science methodologies, model development lifecycles, feature engineering, model evaluation, and operationalization
- Proficiency in Python and modern artificial intelligence or machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, LangChain, or Semantic Kernel
- Knowledge of Azure AI services, Azure Machine Learning, Azure OpenAI, Microsoft Fabric, or similar cloud-native AI environments
- Experience with cloud platforms such as Azure, AWS, or Google Cloud
- Experience supporting manufacturing, process industry, heavy industrial, remote operations, or similar operational environments
What We Do
Heidelberg Materials is a global manufacturer of building materials, including cement, aggregates, ready-mixed concrete, and asphalt, committed to leading the industry toward carbon neutrality and a circular economy.
