Alberici is a diversified construction company that partners with leading organizations to build the critical structures that improve lives and strengthen communities.

Since our founding in 1918, Alberici has built some of North America's most challenging projects. Along the way, we've earned a reputation for executing with quality, safety and trust backed by 100+ years of experience providing construction solutions to the automotive, commercial, civil, energy, food & beverage, healthcare, heavy industrial, industrial process, and water industries.

When it comes to our team, Alberici employees are built differently. We seek the best and brightest and are committed to investing in our people and providing the training and resources they need to learn, grow and advance.

Are you Built For The Challenge?

Responsibilities:

• Define the overall data strategy and structure for the organization in partnership with the CTO.
• Collaborate with stakeholders across Alberici's different business units to define business data, metrics and use cases and execute a strategy to make the right data available at the right time.
• Build out, lead and coach a team of Engineers, Analysts and Data Foster a culture of continuous learning, collaboration, and innovation within the Data and Analytics team.
• Develop and implement a comprehensive data science strategy aligned with Alberici's business goals.
• Collaborate with executive leadership to identify opportunities for leveraging data analytics to drive business growth and innovation.
• Identify and implement innovative approaches to solve complex business challenges through data-driven solutions.
• Analyze and interpret the data to recommend business action and influence the platform
• Evaluate and enhance the organization's data infrastructure, ensuring the availability, reliability and quality of data for analytical purposes.

Education, Experience and Skills

• Commercial experience within Data and AI roles.
• Proficiency and hands on experience in SQL, Python, Power BI, Microsoft Dataverse, deep learning, machine learning, data modeling, and working with large amounts of data.
• Bachelor's or Master's degree within Computer Science, Data Science, Economics, Mathematics, Statistics, Engineering, or a related field.
• Management experience, or preferably building out a team.
• Experience working with business stakeholders at all levels, including C-suite.

LI#Hybrid