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Heidelberg Materials

Global producer of cement, aggregates, concrete

Senior Manager, Digital Solutions and Innovation

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeIrving, TX, USANo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field is required.
  • 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 and machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, LangChain, Semantic Kernel, or equivalent.
  • Experience with cloud platforms such as Azure, Amazon Web Services, or Google Cloud.

Responsibilities

  • Lead identification, prioritization, deployment, and scaling of digital solutions that improve HROC services and plant performance.
  • Drive adoption of artificial intelligence, 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, oversee the analytics project portfolio, and drive 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.
  • Collaborate regularly across HROC, plant operations, engineering, data science, and corporate teams.
  • Interact frequently with internal stakeholders and external technology providers to support innovation and digital transformation initiatives.
  • Travel occasionally to support operations, project implementation, technology deployment, and innovation activities.

Desired Qualifications

  • Knowledge of Azure AI services, Azure Machine Learning, Azure OpenAI, Microsoft Fabric, or similar cloud-native artificial intelligence environments.
  • Experience supporting manufacturing, process industry, heavy industrial, remote operations, or similar operational environments.

About the Company

Heidelberg Materials

Global producer of cement, aggregates, concrete

Heidelberg Materials produces cement, aggregates, concrete, and asphalt at scale across 50+ countries with about 3,000 sites and over 51,000 employees. It runs the full value chain from raw material extraction to finished products, controlling production and distribution for construction firms and individual builders. Its manufacturing and logistics operations, aided by digital tools, ensure quality, efficiency, and on-time delivery. The company differentiates itself through its global integration, broad material portfolio, and commitment to sustainability and digitalization, with goals of carbon neutrality and developing sustainable building solutions within a circular economy.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Heidelberg, Germany
Founded
1874

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