Digital Forensics, Automation Engineering Director

FTI Consulting

. Collaborate with stakeholders to scope project goals, define success metrics, and communicate insights clearly .

Posted 10/19/2026full-timeUnited StatesLead💰 $123,500 - $182,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in delivering end-to-end machine learning and data science solutions, with a strong focus on predictive modeling, statistical algorithms, and forensic technology. Capable of effectively communicating technical insights to diverse stakeholders while driving business growth and client engagement.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython ProgrammingForensic Technology SoftwareClient-Facing Consulting ExperienceData Integration and Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingStatistical AlgorithmsMachine Learning PipelinesHyperparameter OptimizationFeature Selection MethodsCross-ValidationError AnalysisModel InterpretabilityRobustness and Performance MonitoringData Visualization

Soft Skills

Strong Communication SkillsStakeholder EngagementTeam Management

Tools & Technologies

AWSGCPAzureM365Google WorkspaceSlackEnCaseAxiomCellebriteRelativity

Industry Keywords

Electronic Discovery Reference ModelForensic AutomationCognitive TechnologiesQuantitative DisciplineData Science Solutions

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonPyTorchScikit-Learn

About the role

Key responsibilities & impact

Collaborate with stakeholders to scope project goals, define success metrics, and communicate insights clearly
Act as a forensic technology lead delivering end-to-end machine learning and data science solutions to enterprise clients
Design, develop, and deploy predictive models, statistical algorithms, and custom machine learning pipelines
Present technical findings and recommendations to C-suite stakeholders and law firm partners
Build reusable quantitative components, templates, and accelerators to enable scalable delivery across client engagements
Develop and deliver training programs for clients and internal teams on forensic automation and cognitive technologies
Drive business growth and deliver high-quality services to clients

Requirements

What you’ll need

5 years experience related to industries or services related to the Electronic Discovery Reference Model
Familiarity with forensic technology software
Bachelor's degree in a quantitative discipline (e.g., Computer Science, Economics, Engineering, Mathematics) or related field
Fluency in Python and hands-on experience creating customized solutions leveraging advanced Python packages (e.g., scikit-learn, PyTorch, statsmodels)
Experience with APIs and ability to independently collect, integrate, and analyze data from cloud platforms (e.g., AWS, GCP, Azure)
Demonstrable expertise navigating cloud-based enterprise systems (e.g., M365, Google Workspace, Slack)
Hands-on experience developing, tuning, and validating machine learning models, including hyperparameter optimization, feature selection methods, cross-validation, error analysis, bias-variance tradeoff management, model interpretability, and robustness and performance monitoring
Strong communication skills with the ability to align client needs with functional solutions and communicate technical information to non-technical stakeholders
Client-facing consulting experience
Experience managing people on fast-moving, high-profile engagements
Applicants must be currently authorized to work in the United States on a full-time basis; this position does not provide visa sponsorship
Preferred: Master's degree in Computer Science, Economics, Engineering, Mathematics, or a related quantitative field
Preferred: Familiarity with forensic technology software (e.g., EnCase, Axiom, Cellebrite, NUIX, Relativity, and Reveal)
Preferred: Fluency in R, particularly as it relates to data visualization and statistical programming
Preferred: Deep expertise in machine learning algorithms and statistical modeling

Benefits

Comp & perks

Professional development programs
On-the-job learning
Self-guided professional development courses
Certifications
Dedicated coach and regular coaching sessions
Tailored programs for critical professional milestones