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Manager Data Science Civil Engineering Jobs in Arizona

Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

... materials science, surveying, and construction management. Ability to explain beam and truss ... Adapts instruction using structural analysis software, geotechnical data interpretation, and design ...

... materials science, surveying, and construction management. Ability to explain beam and truss ... Adapts instruction using structural analysis software, geotechnical data interpretation, and design ...

Intern- Civil Engineering

Scottsdale, AZ

$17.50 - $23/hr

Civil Engineering Intern - Summer 2026 Join a team where your ideas and energy shape meaningful ... Analyze maps, surveys, soil and hydrology reports, and other data to support design decisions ...

... materials science, surveying, and construction management. Ability to explain beam and truss ... Adapts instruction using structural analysis software, geotechnical data interpretation, and design ...

... materials science, surveying, and construction management. Ability to explain beam and truss ... Adapts instruction using structural analysis software, geotechnical data interpretation, and design ...

Civil Engineering Tutor

Mesa, AZ · Remote

$18 - $40/hr

... materials science, surveying, and construction management. Ability to explain beam and truss ... Adapts instruction using structural analysis software, geotechnical data interpretation, and design ...

Civil Engineering Tutor

Tempe, AZ · Remote

$18 - $40/hr

... materials science, surveying, and construction management. Ability to explain beam and truss ... Adapts instruction using structural analysis software, geotechnical data interpretation, and design ...

... materials science, surveying, and construction management. Ability to explain beam and truss ... Adapts instruction using structural analysis software, geotechnical data interpretation, and design ...

Civil Engineering Tutor

Tucson, AZ · Remote

$18 - $40/hr

... materials science, surveying, and construction management. Ability to explain beam and truss ... Adapts instruction using structural analysis software, geotechnical data interpretation, and design ...

Intern- Civil Engineering

Scottsdale, AZ · On-site

$17.50 - $23/hr

Civil Engineering Intern - Summer 2026 Join a team where your ideas and energy shape meaningful ... Analyze maps, surveys, soil and hydrology reports, and other data to support design decisions ...

... time management for FE Civil examination. Guides students through solving structural analysis ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

... time management for FE Civil examination. Guides students through solving structural analysis ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

... time management for FE Civil examination. Guides students through solving structural analysis ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

... time management for FE Civil examination. Guides students through solving structural analysis ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

... time management for FE Civil examination. Guides students through solving structural analysis ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

... time management for FE Civil examination. Guides students through solving structural analysis ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

... time management for FE Civil examination. Guides students through solving structural analysis ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

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Showing results 1-20

Manager Data Science Civil Engineering information

Can you make $500,000 as a civil engineer?

A Manager in Data Science within civil engineering can potentially earn $500,000 annually, especially with extensive experience, advanced skills, and leadership roles overseeing large projects or teams. Such high salaries are typically found in senior management positions, consulting, or firms working on large-scale infrastructure projects, often requiring specialized certifications and a strong track record. Entry-level or mid-career civil engineers generally earn significantly less than this amount.

What engineers make $300,000 a year?

Senior data science managers and experienced civil engineering managers can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership responsibilities. High salaries are often associated with roles in large organizations, specialized expertise, or positions requiring advanced certifications and management of complex projects.

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 engineers make $500,000?

Senior data science managers and specialized civil engineering roles with extensive experience and advanced skills can reach salaries of $500,000 or more, especially in high-demand industries or senior leadership positions. Achieving this level often requires advanced degrees, certifications, and a strong track record of project success and leadership. Compensation varies based on location, company size, and individual expertise.

Can a civil engineer become a data scientist?

A civil engineer can become a data scientist by acquiring skills in programming, statistics, and machine learning, often through additional education or training. Their background in engineering and problem-solving can be advantageous, but they typically need to learn data analysis tools like Python, R, and SQL, and gain experience with data modeling and visualization.
What are the most commonly searched types of Data Science Civil Engineering jobs in Arizona? The most popular types of Data Science Civil Engineering jobs in Arizona are:
What are popular job titles related to Manager Data Science Civil Engineering jobs in Arizona? For Manager Data Science Civil Engineering jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Manager Data Science Civil Engineering jobs in Arizona look for? The top searched job categories for Manager Data Science Civil Engineering jobs in Arizona are:
What cities in Arizona are hiring for Manager Data Science Civil Engineering jobs? Cities in Arizona with the most Manager Data Science Civil Engineering job openings:
Manager - Data Science / Data Lake

Manager - Data Science / Data Lake

Deloitte

Tempe, AZ • On-site

Other

Re-posted 18 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

60th of 148 rated financial services


Job description

Data Lake - Manager

Are you looking to apply cyber analytics, artificial intelligence, and security operations experience in a client-facing role with opportunities to grow your impact? At Deloitte, you'll help organizations modernize security operations, improve cyber resilience, and use data-driven insights to strengthen threat detection and response. In this Senior Consultant, Strategy, Growth, and Transformation role, you will work with Deloitte's Cyber Defense & Resilience Security Operations team to support complex cyber data, analytics, and transformation initiatives across leading organizations.

Recruiting for this role ends on 06/30/2026.

Work you'll do

As a Manager, Strategy, Growth, and Transformation on the Cyber Defense & Resilience Security Operations team, you will be responsible for

  • Supporting the design and modernization of cyber data, analytics, and security operations capabilities for client environments
  • Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response acceleration
  • Working with cyber data platforms, cloud technologies, and telemetry sources to improve visibility, analysis, and operational decision-making
  • Contributing to strategy, design, and implementation workstreams across cyber transformation engagements
  • Preparing analyses, client deliverables, and recommendations while coordinating with cross-functional stakeholders and project team members

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection of cybersecurity, cyber data engineering, and artificial intelligence and machine learning for cyber defense and operations. The team helps clients modernize security data environments, improve data operations, and apply scalable analytics and artificial intelligence capabilities to cybersecurity challenges. Through a combination of advisory, implementation, and managed services support, Deloitte helps organizations strengthen cyber operations and advance business performance.

Qualifications

Required:

  • 10+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these
  • 10+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI
  • 10+ years of experience using Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine learning workflows
  • Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center (SOC) threat hunting or incident response
  • Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a field aligned to the role; or 4 years of equivalent professional experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience supporting the design, development, or deployment of enterprise data science or artificial intelligence solutions
  • Experience applying artificial intelligence, machine learning, or advanced data engineering to cybersecurity use cases such as detection engineering or threat response acceleration
  • Experience parsing and normalizing cyber or information technology telemetry datasets
  • Experience with PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, or SciPy
  • Experience with Apache Kafka, Storm, or Spark
  • Experience creating client-ready materials using Microsoft PowerPoint or Microsoft Visio

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CDRCyber27

Qualifications:

Data Lake - Manager

Are you looking to apply cyber analytics, artificial intelligence, and security operations experience in a client-facing role with opportunities to grow your impact? At Deloitte, you'll help organizations modernize security operations, improve cyber resilience, and use data-driven insights to strengthen threat detection and response. In this Senior Consultant, Strategy, Growth, and Transformation role, you will work with Deloitte's Cyber Defense & Resilience Security Operations team to support complex cyber data, analytics, and transformation initiatives across leading organizations.

Recruiting for this role ends on 06/30/2026.

Work you'll do

As a Manager, Strategy, Growth, and Transformation on the Cyber Defense & Resilience Security Operations team, you will be responsible for

  • Supporting the design and modernization of cyber data, analytics, and security operations capabilities for client environments
  • Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response acceleration
  • Working with cyber data platforms, cloud technologies, and telemetry sources to improve visibility, analysis, and operational decision-making
  • Contributing to strategy, design, and implementation workstreams across cyber transformation engagements
  • Preparing analyses, client deliverables, and recommendations while coordinating with cross-functional stakeholders and project team members

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection of cybersecurity, cyber data engineering, and artificial intelligence and machine learning for cyber defense and operations. The team helps clients modernize security data environments, improve data operations, and apply scalable analytics and artificial intelligence capabilities to cybersecurity challenges. Through a combination of advisory, implementation, and managed services support, Deloitte helps organizations strengthen cyber operations and advance business performance.

Qualifications

Required:

  • 10+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these
  • 10+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI
  • 10+ years of experience using Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine learning workflows
  • Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center (SOC) threat hunting or incident response
  • Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a field aligned to the role; or 4 years of equivalent professional experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience supporting the design, development, or deployment of enterprise data science or artificial intelligence solutions
  • Experience applying artificial intelligence, machine learning, or advanced data engineering to cybersecurity use cases such as detection engineering or threat response acceleration
  • Experience parsing and normalizing cyber or information technology telemetry datasets
  • Experience with PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, or SciPy
  • Experience with Apache Kafka, Storm, or Spark
  • Experience creating client-ready materials using Microsoft PowerPoint or Microsoft Visio

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CDRCyber27

Education:Bachelor's DegreeEmployment Type:

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