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Senior Associate, Digital Forensics, Forensic Technology Services

Alvarez & Marsal Deutschland GmbH
Pasco, WA Full Time
POSTED ON 1/20/2025
AVAILABLE BEFORE 4/19/2025

Senior Associate, Digital Forensics, Forensic Technology Services

Location : Washington, DC, United States

Increase your chances of an interview by reading the following overview of this role before making an application.

Date Posted : Nov 19, 2024

Alvarez & Marsal is a premier independent global professional services firm specializing in providing turnaround management, restructuring, performance improvement and corporate advisory services. Our talent drives our success, resulting in A&M’s Forensic Technology Services being a recognized leading provider of Forensic Technology investigation support services. Our team’s expertise spans electronic discovery and disclosure management, digital forensics, forensic data analytics, cyber risk and incident response, privacy, information governance and data compliance. By combining operational expertise with legally defensible procedures and industry-leading technology, A&M’s professionals deliver reliable, innovative solutions to meet each of our client’s unique needs and challenges.

What will you be doing?

Throughout all phases of the forensic data lifecycle, you will lead a team of consultants to enable our external clients and internal teams to leverage forensic data technologies to uncover and manage data-based evidence and intelligence in contentious legal and regulatory situations.

In this role, you will lead a team to assist our clients and internal teams in confronting and resolving complex legal matters. You will be discovering and processing forensically preserved data and evidence relating to complex accounting issues on various projects involving economic disputes, white-collar crime investigations, forensic accounting and consulting, and post-acquisition disputes. By establishing consultative relationships with external and internal stakeholders, you will guide them toward best practices in data and evidence handling and preservation.

Some of the key activities you’ll be doing include :

  • Participate in the full lifecycle of forensic data collection processing; including the identification, recovery, preparation, analysis, and preservation of digital data used in legal or regulatory situations.
  • Lead a team of consultants, managing all aspects of onsite data collection.
  • Participate in the collection, pre-processing, capture and preparation of images and other forensic data artifacts in effort to prepare the data to analyze.
  • Maintain data and documentation according to prescribed chain of custody protocol.
  • Perform data extraction and conversion to migrate data to Relatively environment.
  • Processing and support of images and data once in review environment.
  • Plan and manage onsite data and evidence collection activities.
  • Build relationships and reputation through excellent stakeholder management.
  • Communicate technical processes and findings clearly and precisely to clients and colleagues, including writing reports on forensic data analysis to present to council and clients.

Who will you be working with?

At A&M, you will have the opportunity to work with a supportive and diverse team of professionals who enjoy sharing their knowledge and depth of industry experience with others. A&M's Forensic Technology team consists of senior forensic technologists, data analytics, cybersecurity and privacy experts, lawyers, and investigators from various backgrounds who bring and share their extensive expertise in conducting investigations, delivering expert witness reports, and providing forensic technology services. We have an inclusive development environment that encourages everyone to learn and grow.

How will you grow and be supported?

As a Digital Forensics Senior Associate, you will be able to advance your career by gaining valuable experience across various industries, sectors, and companies on a variety of interesting and critical projects ranging from employee investigations to large corporate litigations. You will have the opportunity to apply your analytical skills in complex, ambiguous situations while working directly with external and internal clients. You will be working in close collaboration with experienced professionals who will provide you with developmental feedback and opportunities for growth.

We offer competitive benefits and opportunities to support your personal and professional development.

Qualifications :

  • Minimum 3-6 years’ experience in the field of digital forensics in a client-facing, professional service setting
  • Extensive experience with scoping and performing on-site and remote forensic preservations of unstructured and structured data sources especially endpoint, mobile, cloud-based application, and social media data sources
  • Extensive experience in forensic tool suites including OpenText EnCase, Cellebrite UFED4PC, Physical Analyzer, and Endpoint Inspector, Magnet Forensics Axiom
  • Extensive experience performing forensic analyses and preparing client-ready work product
  • Sound technical understanding of the Electronic Discovery Reference Model (EDRM) and best practices in forensic collection, analysis, and review
  • Excellent interpersonal skills, oral and written communication skills when working with both clients and internal technical teams
  • Ability to manage multiple projects simultaneously and collect, organize, and disseminate significant amounts of information with attention to detail and accuracy
  • Capacity to thrive in a fast-paced, challenging, and uncertain environment
  • An excellent academic record and a BS, BBA, or BA degree from an accredited university with a degree focused in a technical and / or analytical field, (i.e., computer science, information systems, engineering)
  • Flexibility to travel approximately 20-40% of the time
  • Training and / certifications from industry organizations or vendors (i.e., GFCE, EnCE, CISSP), and / or other relevant professional certifications
  • Quantitative skills including experience with SAS, Stata, Python, R, Power BI, or SQL preferred
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