1

Manager Data Science Civil Engineering Jobs in Michigan

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Bachelor's degree in computer science or related field * 12 years of industry experience, with 4 ... Experience establishing data management strategy for customers, including data governance, data ...

Bachelor's degree in computer science or related field * 12 years of industry experience, with 4 ... Experience establishing data management strategy for customers, including data governance, data ...

Bachelor's degree in computer science or related field * 12 years of industry experience, with 4 ... Experience establishing data management strategy for customers, including data governance, data ...

Develop and manage subsurface investigations and laboratory testing programs. * Conduct ... Interpret and summarize data, including reports and documents that result in sound engineering and ...

... Managers and helping to work with and lead our group design team. At F&V, our goal is to recruit ... Bachelor of Science degree in civil engineering required * 5-15 years of related experience desired

Drive results on time and within budget, managing risks, and ensuring methodological and ... Work cross-functionally across data engineering, delivery teams, software delivery, other business ...

Drive results on time and within budget, managing risks, and ensuring methodological and ... Work cross-functionally across data engineering, delivery teams, software delivery, other business ...

... Managers and helping to work with and lead our group design team. At F&V, our goal is to recruit ... Bachelor of Science degree in civil engineering required * 5-15 years of related experience desired

Perform engineering calculations in support of civil engineering design projects * Manage projects ... Performs, trains, and provides guidance for site investigations, survey work, CAD work, and data ...

Perform engineering calculations in support of civil engineering design projects * Manage projects ... Performs, trains, and provides guidance for site investigations, survey work, CAD work, and data ...

... data center facilitie • Serve as the Civil Engineer of Record when required. • Collaborate ... engineering calculations and reports. • Manage permitting processes with federal, state, and ...

Data Scientist

Sterling Heights, MI · On-site

$50 - $58/hr

Bachelor's Degree in Data Management, Data Science, Math, Statistics or equivalent Education Preferred: Master's Degree in mathematics, statistics, business, engineering, physical/applied sciences ...

Showing results 41-60

Manager Data Science Civil Engineering information

What is the difference between Manager Data Science Civil Engineering vs Civil Engineering Project Manager?

AspectManager Data Science Civil EngineeringCivil Engineering Project Manager
Required CredentialsMaster's in Data Science, Civil Engineering, or related field; certifications in project management or data analyticsBachelor's or Master's in Civil Engineering; Professional Engineer (PE) license often preferred
Work EnvironmentData analysis teams, engineering firms, research institutionsConstruction sites, engineering firms, project offices
Employer & Industry UsageTech-driven civil engineering projects, infrastructure analyticsConstruction projects, infrastructure development, urban planning

The Manager Data Science Civil Engineering focuses on analyzing data to optimize civil engineering projects, while the Civil Engineering Project Manager oversees the planning, execution, and completion of civil construction projects. Both roles require engineering knowledge but differ in their core responsibilities and work environments.

What are the most commonly searched types of Data Science Civil Engineering jobs in Michigan?

The most popular types of Data Science Civil Engineering jobs in Michigan are:

What are popular job titles related to Manager Data Science Civil Engineering jobs in Michigan?

For Manager Data Science Civil Engineering jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Manager Data Science Civil Engineering jobs in Michigan look for?

The top searched job categories for Manager Data Science Civil Engineering jobs in Michigan are:

What cities in Michigan are hiring for Manager Data Science Civil Engineering jobs?

Cities in Michigan with the most Manager Data Science Civil Engineering job openings:

Manager, Data Engineering

Reply

Detroit, MI • On-site

$160K - $190K/yr

Full-time

Re-posted 24 days ago


Job description

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.
At Valorem Reply, we are hiring a Manager for the Data & AI team. The person will mainly focus on building modern data platforms using Microsoft cloud technologies, including Fabric and Databricks for our customers. As a technical leader, the person will assist with setting the technical direction of the practice and keep up to date with current trends in data-focused technology. The ideal candidate will have strong communication skills and serve as a trusted partner to our customers. A strong understanding of data governance and advising customers on frameworks is critical to this role. This is an exciting role for people that like collaborating across a team, enjoying flexibility/autonomy in completing work, and solving challenging problems.
Responsibilities
  • Assist in new business development and technical sales through development of proposals, estimation, statements of work, and requests for proposals
  • Contributing to and overseeing the successful delivery of data platform, analytics, and data science projects while liaising with clients to meet their needs
  • Providing leadership, coaching, and mentorship to team members and supporting their professional development while establishing a learning culture
  • Staying current on latest trends and technologies, while sharing expertise with colleagues, clients, and industry peers through speaking engagements, publications, and workshops
  • Defining data roadmaps at the executive level for clients and detailed planning of data and AI governance frameworks
  • Collaborating with project management to plan work for delivery teams and verifying quality deliverables

Minimum Requirements
  • Bachelor's degree in computer science or related field
  • 12 years of industry experience, with 4 most recent years as a hands-on manager leading a team on enterprise scale data platform projects
  • 4 years of experience in a consulting role working directly with Enterprise customers
  • Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL
  • Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI
  • Experience setting end-to-end modern data platforms in Azure including architecture/design, ingestion, storage strategies, analytics & reporting, Apache Spark, and networking requirements
  • Experience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements
  • Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies

Preferred Qualifications
  • Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps
  • Knowledge and familiarity with Microsoft Purview
  • DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
  • Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft
  • Experience with industry leading data tools, such as Profisee, FiveTran, DBT, and Collibra

About Reply
Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.
The base compensation range for this full-time position is between $160,000 - $190,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications. If you have questions regarding compensation, the talent acquisition team can provide relevant details during the interview process.
Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at [email protected]. Visit our website at www.reply.com to learn more about our open roles.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.