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Forensic Manager Jobs in Tennessee (NOW HIRING)

Deloitte

Regulatory Reporting Manager

Hermitage, TN · On-site

Our Regulatory, Risk, & Forensic Operate offering supports clients by delivering Operate services ... Manage end to end regulatory reporting activities covering 40 Act and non-40 Act funds in the ...

Deloitte

Regulatory Reporting Manager

Memphis, TN · On-site

Our Regulatory, Risk, & Forensic Operate offering supports clients by delivering Operate services ... Manage end to end regulatory reporting activities covering 40 Act and non-40 Act funds in the ...

Apis Services Inc

CLINICAL MANAGER BH

Memphis, TN · On-site

$56K/yr

Section 2: Position Purpose The Clinical Manager is responsible for the overall supervision of ... Experience in the field of forensics is preferred. * Peer Specialist Supervisor's Certification ...

ITR

Manager of Cyber Security

Knoxville, TN

$105K - $143K/yr

Oversee incident management and forensic investigations to identify root causes, mitigate risks, and prevent future incidents. Regulatory Compliance * Regulatory Compliance: Ensure compliance with ...

Oracle

Principal Program Manager

Nashville, TN · On-site

You will collaborate closely with partner security teams (such as SOC, digital forensics, incident ... Program & Project Management : Plan, scope and coordinate multiple complex, cybersecurity ...

STI

Audit Manager :: Nashville, TN :: Hybrid

Nashville, TN · On-site

$100K - $131K/yr

... (CPA), or Certified Forensic Accountant (CrFA) . Standards & Methodology Expertise: * Deep ... Proficiency in audit management software (e.g., Diligent), Microsoft 365 tools (SharePoint, Teams ...

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Forensic Manager information

See Tennessee salary details

$14

$28

$46

How much do forensic manager jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for forensic manager in Tennessee is $28.57, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $34.23 per hour, depending on experience, location, and employer.

What are some common challenges a forensic manager faces when leading complex investigations?

A Forensic Manager often navigates challenges such as balancing tight deadlines with the need for thorough, accurate analysis, especially when multiple cases are active simultaneously. Managing a multidisciplinary team also requires strong communication and leadership skills to ensure collaboration between forensic accountants, analysts, and legal professionals. Additionally, adapting to rapidly evolving technology and regulatory requirements can present ongoing learning opportunities. Effective Forensic Managers proactively address these challenges through clear processes, continuous training, and fostering a culture of integrity and teamwork.

What is the difference between Forensic Manager vs Forensic Analyst?

AspectForensic ManagerForensic Analyst
Required CredentialsBachelor's degree in criminal justice, forensic science, or related field; often with certifications like CFCE or F-ABCBachelor's or master's degree in forensic science, chemistry, or biology; certifications like CFCE may be preferred
Work EnvironmentSupervisory role overseeing forensic teams, managing casework, and coordinating investigationsLaboratory or crime scene environment conducting analysis and evidence examination
Employer & Industry UsageLaw enforcement agencies, forensic labs, criminal justice organizationsCrime labs, law enforcement agencies, research institutions

While both roles require a background in forensic science and relevant certifications, the Forensic Manager primarily oversees teams and manages case workflows, whereas the Forensic Analyst focuses on conducting scientific analysis of evidence. The manager role involves leadership and coordination, while the analyst role emphasizes technical expertise and evidence examination.

What are the key skills and qualifications needed to thrive as a forensic manager?

To thrive as a Forensic Manager, you need expertise in forensic accounting or investigations, a relevant degree (such as accounting or law), and often certifications like CFE (Certified Fraud Examiner) or CPA. Proficiency with forensic analysis tools, data analytics software, and case management systems is typically required. Outstanding leadership, critical thinking, and effective communication skills help manage teams and explain complex findings to clients or authorities. These skills ensure accurate investigations, maintain legal compliance, and support successful resolution of fraud or dispute cases.

What is a forensic manager?

Forensic Managers are professionals who oversee forensic teams and ensure the effective investigation, analysis, and reporting of evidence in legal and criminal cases. They supervise forensic scientists and technicians, manage casework, and ensure that forensic processes adhere to legal standards and protocols. Forensic Managers also coordinate with law enforcement agencies, attorneys, and courts to provide expert testimony and maintain the integrity of the evidence chain. Their leadership helps ensure accurate, reliable, and timely forensic results in support of justice.

What does a forensic manager do?

A forensic manager oversees investigations into criminal or civil cases involving digital or physical evidence. They coordinate forensic teams, ensure proper evidence handling, and prepare reports for legal proceedings, often requiring knowledge of forensic tools and certifications. Their role involves managing case workflows and maintaining evidence integrity throughout the process.

How do you become a forensic manager?

To become a forensic manager, candidates typically need a bachelor's degree in criminal justice, forensic science, or a related field, along with several years of experience in forensic analysis or law enforcement. Advanced certifications, such as Certified Forensic Manager or relevant technical skills, can enhance prospects, and some roles may require a master's degree or specialized training in forensic methods or management. Strong leadership, communication skills, and knowledge of legal procedures are also important for success in this role.

What are the most commonly searched types of Forensic jobs in Tennessee?

The most popular types of Forensic jobs in Tennessee are:

What are popular job titles related to Forensic Manager jobs in Tennessee?

For Forensic Manager jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Forensic Manager jobs in Tennessee look for?

The top searched job categories for Forensic Manager jobs in Tennessee are:

What cities in Tennessee are hiring for Forensic Manager jobs?

Cities in Tennessee with the most Forensic Manager job openings:

Forensic Manager jobs near you
Infographic showing various Forensic Manager job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $59,418 per year, or $28.6 per hour.

Forward Deployed Engineer - Databricks - Forensic Discovery & Financial Crime

Deloitte

Nashville, TN • On-site

Full-time

Re-posted yesterday

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 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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