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Computer Forensics Manager Jobs in Colorado (NOW HIRING)

Cymertek

Cybersecurity Engineer

Aurora, CO · On-site

... Forensics, Cryptography, Telecommunications, Cyber Operations, Applied Mathematics, Computer Programming, Security Management, Artificial Intelligence, etc. ALTERNATE EXPERIENCE General comment on ...

CorrHealth

Case Manager

Fort Collins, CO · On-site

$34 - $36/hr

... computer and use/learn a variety of software, including site-specific computer programs ✓ Must ... Forensic Nursing / Jail Nursing Other Employee must comply with all current and future State ...

CorrHealth

Case Manager

Fort Collins, CO · On-site

$19.75 - $25.50/hr

... computer and use/learn a variety of software, including site-specific computer programs Must ... Forensic Nursing / Jail Nursing Other Employee must comply with all current and future State ...

KBR

Cybersecurity Engineering Manager

Colorado Springs, CO · On-site

$109K - $147K/yr

Embedding advanced forensic tools and techniques for attack reconstruction * Providing engineering ... Tertiary qualification in Cybersecurity, Computer Science, Engineering, Information Systems, or a ...

Cymertek

System Security Engineer

Aurora, CO · On-site

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Cybersecurity, Computer Science ... Security Management, Digital Forensics, Cryptography, Cyber Operations, Applied Mathematics ...

Walter P Moore

Engineer - Diagnostics

Denver, CO · On-site +1

Project Management experience is required. The Engineer will take on the responsibility of managing ... Computer Aided Drafting/Design (AUTOCAD, REVIT) * Structural engineering software (SAP, ETABS, RAM ...

Cymertek

System Security Auditor

Aurora, CO · On-site

... Computer Engineering, Network Engineering, Systems Engineering, Data Science, Information Assurance, Security Management, Risk Management, Digital Forensics, Telecommunications, Software Engineering ...

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All JobsComputer Forensics JobsComputer Forensics Manager JobsComputer Forensics Manager Jobs in Colorado

Computer Forensics Manager information

See Colorado salary details

$22.6K

$91.7K

$146.8K

How much do computer forensics manager jobs pay per year?

As of Jul 11, 2026, the average yearly pay for computer forensics manager in Colorado is $91,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,714.00 and $126,610.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Computer Forensics Managers, and how can they be addressed?

Computer Forensics Managers often encounter challenges such as managing large volumes of digital evidence, ensuring chain-of-custody integrity, and keeping up with rapidly evolving technologies and cyber threats. Addressing these challenges requires implementing robust evidence management protocols, ongoing training for team members, and fostering collaboration with IT, legal, and law enforcement departments. Additionally, establishing clear communication channels and regularly reviewing case management processes help maintain efficiency and compliance within the team.

What is the difference between Computer Forensics Manager vs Computer Forensics Analyst?

AspectComputer Forensics ManagerComputer Forensics Analyst
CertificationsGCFA, GCFE, CISSPGCFA, EnCE, CISSP
Work EnvironmentLeadership, project management, team oversightHands-on digital investigation, data analysis
Employer & IndustryLaw enforcement, cybersecurity firms, corporate securityLaw enforcement, cybersecurity, consulting firms

The main difference is that a Computer Forensics Manager oversees investigations, manages teams, and plans strategies, while a Computer Forensics Analyst conducts the technical analysis and digital evidence examination. Both roles require similar certifications and often work in related environments, but their responsibilities differ in scope and focus.

What does a Computer Forensics Manager do?

A Computer Forensics Manager oversees teams that investigate digital crimes by collecting, analyzing, and preserving electronic evidence. They lead forensic examinations of computers, mobile devices, and networks to support criminal, civil, or internal investigations. In addition to managing casework, they coordinate with law enforcement, ensure adherence to legal protocols, and may testify in court as expert witnesses. Their role is crucial in identifying cyber threats, data breaches, and providing actionable reports for legal proceedings.

What are the key skills and qualifications needed to thrive as a Computer Forensics Manager, and why are they important?

To thrive as a Computer Forensics Manager, you need expertise in digital forensics, cybersecurity, evidence handling, and typically a degree in computer science or related fields. Familiarity with forensic analysis tools like EnCase, FTK, and certification such as GIAC CFCE or CCE is important for credibility and efficiency. Strong leadership, analytical thinking, and clear communication are crucial soft skills for managing teams and presenting findings. These skills ensure effective investigation of digital crimes, accurate evidence management, and successful collaboration with law enforcement and legal teams.
What are popular job titles related to Computer Forensics Manager jobs in Colorado? For Computer Forensics Manager jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Computer Forensics Manager jobs in Colorado look for? The top searched job categories for Computer Forensics Manager jobs in Colorado are:
Computer Forensics Manager jobs near you
Forward Deployed Engineer - Databricks - Forensic Discovery & Financial Crime

Forward Deployed Engineer - Databricks - Forensic Discovery & Financial Crime

Deloitte

Denver, CO

Other

Posted 24 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

Senior Consultant - Forward Deployed Engineer (FDE) - Databricks

Forward Deployed Engineers at Deloitte work alongside clients to help turn artificial intelligence opportunities into scalable business solutions. As a Senior Consultant - Forward Deployed Engineer (FDE), you will design, build, and implement AI-enabled applications and data solutions in enterprise environments. This role combines software engineering, data engineering, and client-facing delivery to help move solutions from concept to production. If you can translate technical complexity into business value, this role offers the opportunity to help clients accelerate adoption of generative AI capabilities.

Recruiting for this role ends on 9/30/2026

Work you'll do

As a Senior Consultant - Forward Deployed Engineer (FDE) - Databricks on the Forensic, Discovery, & Financial Crime team, you will be responsible for designing, deploying, and scaling AI-enabled solutions that help clients address complex business and technology needs.

  • Collaborate with client stakeholders to define business needs, operational constraints, priority use cases, and measurable success criteria.
  • Design, build, and integrate AI-enabled applications, application programming interfaces (APIs), machine learning models, data pipelines, and microservices tailored to client environments.
  • Use AI-assisted development workflows to accelerate delivery while maintaining code quality, security, and maintainability.
  • Lead implementation activities required to move solutions into production, including architecture, security, privacy, and access reviews.
  • Troubleshoot technical and integration issues and optimize performance across Databricks and cloud-based enterprise environments.
  • Create reusable assets, document workflows and support processes, and help client teams build the capabilities needed to sustain and extend delivered solutions.

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

Our Forensic, Discovery, & Financial Crime offering provides services to support anti-money laundering, discovery, business disputes, and investigations. We help protect brands from financial crime and other corporate misconduct, as well as empower organizations with advanced tradecraft and technology to combat emerging and evolving threats.

Qualifications

Required:

  • Bachelor's degree, or equivalent experience, in Computer Science, Data Science, Engineering, or a related field
  • 3+ years of experience in software engineering, data engineering, data science, analytics engineering, or technical delivery roles, with experience in Amazon Web Services (AWS), Microsoft Azure, Google Cloud, or comparable cloud platform services
  • 1+ years of experience with Databricks, including hands-on experience with one or more of the following: DBRX, MLflow, Vector Search, or Databricks AI Gateway
  • 1+ years of experience leading project workstreams or client engagements, including translating business requirements into technical solutions and aligning delivery priorities with stakeholders
  • 1+ years of hands-on experience building and deploying artificial intelligence (AI), generative artificial intelligence (GenAI), or large language model (LLM)-powered solutions in client or production environments
  • Demonstrated proficiency building and shipping production code with AI-assisted development tools, including the judgment to direct, review, and correct AI-generated output and to maintain engineering guardrails such as code review, testing, type checking, and linting
  • Experience presenting, defending, and iterating on technical designs and architectures with client and internal stakeholders, and incorporating feedback through to delivery
  • 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 anti-money laundering (AML), fraud, financial crime, investigations, or compliance technology use cases
  • Experience with Spark, Airflow, dbt, streaming, data modeling, feature engineering, experimentation, or model evaluation
  • Experience with machine learning operations (MLOps) or large language model operations (LLMOps), including evaluation frameworks, model monitoring, or prompt management
  • Experience integrating LLM-based solutions with enterprise systems through APIs, microservices, or event-driven architectures
  • Experience delivering software within enterprise security and compliance processes, such as security and architecture design reviews, data and privacy impact assessments, and identity and access management
  • Working knowledge of how modern large language models behave in applications, including tool and function calling, structured outputs, evaluation of model outputs, and the trade-offs between generative and deterministic approaches

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

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 $134500 to $265100.

Qualifications:

Senior Consultant - Forward Deployed Engineer (FDE) - Databricks

Forward Deployed Engineers at Deloitte work alongside clients to help turn artificial intelligence opportunities into scalable business solutions. As a Senior Consultant - Forward Deployed Engineer (FDE), you will design, build, and implement AI-enabled applications and data solutions in enterprise environments. This role combines software engineering, data engineering, and client-facing delivery to help move solutions from concept to production. If you can translate technical complexity into business value, this role offers the opportunity to help clients accelerate adoption of generative AI capabilities.

Recruiting for this role ends on 9/30/2026

Work you'll do

As a Senior Consultant - Forward Deployed Engineer (FDE) - Databricks on the Forensic, Discovery, & Financial Crime team, you will be responsible for designing, deploying, and scaling AI-enabled solutions that help clients address complex business and technology needs.

  • Collaborate with client stakeholders to define business needs, operational constraints, priority use cases, and measurable success criteria.
  • Design, build, and integrate AI-enabled applications, application programming interfaces (APIs), machine learning models, data pipelines, and microservices tailored to client environments.
  • Use AI-assisted development workflows to accelerate delivery while maintaining code quality, security, and maintainability.
  • Lead implementation activities required to move solutions into production, including architecture, security, privacy, and access reviews.
  • Troubleshoot technical and integration issues and optimize performance across Databricks and cloud-based enterprise environments.
  • Create reusable assets, document workflows and support processes, and help client teams build the capabilities needed to sustain and extend delivered solutions.

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

Our Forensic, Discovery, & Financial Crime offering provides services to support anti-money laundering, discovery, business disputes, and investigations. We help protect brands from financial crime and other corporate misconduct, as well as empower organizations with advanced tradecraft and technology to combat emerging and evolving threats.

Qualifications

Required:

  • Bachelor's degree, or equivalent experience, in Computer Science, Data Science, Engineering, or a related field
  • 3+ years of experience in software engineering, data engineering, data science, analytics engineering, or technical delivery roles, with experience in Amazon Web Services (AWS), Microsoft Azure, Google Cloud, or comparable cloud platform services
  • 1+ years of experience with Databricks, including hands-on experience with one or more of the following: DBRX, MLflow, Vector Search, or Databricks AI Gateway
  • 1+ years of experience leading project workstreams or client engagements, including translating business requirements into technical solutions and aligning delivery priorities with stakeholders
  • 1+ years of hands-on experience building and deploying artificial intelligence (AI), generative artificial intelligence (GenAI), or large language model (LLM)-powered solutions in client or production environments
  • Demonstrated proficiency building and shipping production code with AI-assisted development tools, including the judgment to direct, review, and correct AI-generated output and to maintain engineering guardrails such as code review, testing, type checking, and linting
  • Experience presenting, defending, and iterating on technical designs and architectures with client and internal stakeholders, and incorporating feedback through to delivery
  • 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 anti-money laundering (AML), fraud, financial crime, investigations, or compliance technology use cases
  • Experience with Spark, Airflow, dbt, streaming, data modeling, feature engineering, experimentation, or model evaluation
  • Experience with machine learning operations (MLOps) or large language model operations (LLMOps), including evaluation frameworks, model monitoring, or prompt management
  • Experience integrating LLM-based solutions with enterprise systems through APIs, microservices, or event-driven architectures
  • Experience delivering software within enterprise security and compliance processes, such as security and architecture design reviews, data and privacy impact assessments, and identity and access management
  • Working knowledge of how modern large language models behave in applications, including tool and function calling, structured outputs, evaluation of model outputs, and the trade-offs between generative and deterministic approaches

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

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 $134500 to $265100.

Education:Bachelor's DegreeEmployment Type:

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