
Consultant Risk and Forensics - Data Management
Multiple U.S. locations · HybridJob$87–171K/yrSeen todaySeen in employer's feed today
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
Deloitte’s Regulatory, Risk & Forensic team helps clients address risk and regulatory challenges using data, AI, and emerging technologies. The Consultant will execute eDiscovery, contract analytics, and unstructured data work; organize and analyze engagement data; prepare reports and presentations; and contribute to client discussions and practice initiatives. The role requires at least two years of relevant consulting or industry experience and includes regular office co-location and travel.
Skills & qualifications
Skills
Qualifications
Full job description
Consultant Risk and Forensics - Data Management
Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.
Recruiting for this role ends on 03/05/2027.
Work you will do
As a Consultant Risk and Forensics on the Regulatory, Risk & Forensic team, you will be responsible for:
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Execute eDiscovery, contract analytics, and unstructured data activities on client engagements with guidance from senior team members.
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Use Relativity and other discovery and unstructured data technologies to organize, review, and analyze engagement data.
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Prepare written reports and presentation materials, and contribute to client discussions.
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Use generative AI according to engagement guidance to support analysis and improve efficiency.
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Track assigned tasks, communicate progress, raise questions or issues, and collaborate with engagement teams to deliver accurate, timely work.
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Contribute to initiatives that strengthen the practice's tools, methods, and capabilities.
The successful candidate would possess these skills:
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Ability to work independently and collaborate as part of a team
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Effective written and verbal communication skills
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Meticulous attention to detail and quality of work product
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Ability to build and sustain professional relationships
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Ability to lead projects or workstreams
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Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
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Strong interpersonal skills and professional demeanor
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Ability to meet deadlines
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Ability to provide clear guidance to others
The TeamOur 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, and empower government organizations with advanced tradecraft and technology to combat emerging and evolving threats.
Qualifications
Required:
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Bachelor's degree in Data Science, Analytics, Statistics, Mathematics, Computer Science, Management Information Systems, Engineering, Business Analytics, Economics, or Finance.
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2+ years of consulting or industry experience in forensics, eDiscovery, information governance, or content archiving.
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Experience using an eDiscovery platform: Relativity, Nuix, or Brainspace.
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Experience with contract analytics, unstructured data analytics, or generative artificial intelligence (AI) platforms, including Pramata, Harvey, or Legora.
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Coursework or experience with databases and file systems.
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Experience using Tableau or Microsoft Power BI.
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Coursework or experience using a programming or query language: Java, Structured Query Language (SQL), Python, C#, or Visual Basic for Applications (VBA).
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You must reside within a commutable distance of your assigned office with the ability to commute daily, if required, without the need for overnight accommodations.
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You can expect to co-locate on average 1-2 times a week with variations based on types of work/projects and client locations.
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Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve.
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Limited immigration sponsorship may be available.
Preferred:
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Master's degree in Data Science, Analytics, Statistics, Mathematics, Computer Science, Management Information Systems, Engineering, Business Analytics, Economics, or Finance.
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Experience applying natural language processing, machine learning, or generative artificial intelligence to eDiscovery, contract analytics, or unstructured data analytics.
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Experience with information governance, document retention, regulatory archiving, write once, read many (WORM) storage, or Securities and Exchange Commission (SEC) Rules 17a-3 and 17a-4.
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Experience using Elasticsearch.
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Experience developing or implementing records taxonomies.
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Experience using Amazon Web Services (AWS) or Microsoft Azure cloud services.
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 $86,700 to $170,900.
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.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
How this job compares
Set against the 1,023 open Data Management jobs on Olive Jobs, counted November 13, 2026.
- Pay
- This posting$87–171K/yr
- US median$103–188K/yr749 salary ranges
This range's midpoint, $129K, is 11% below the US median midpoint ($145K) — in the middle half of Data Management salary ranges across the US.
- Openings
- Olive Jobs lists 15 open Data Management jobs in Connecticut and 1,023 across the US. 4% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 2 years of experience — less than three in four Data Management postings that state a minimum ask for (median 5 years, across 828 postings).
- Education
- This posting asks for a bachelor's degree; 384 of the 1,023 open Data Management jobs (38%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 13, 2026. Figures based on too few postings are left out.
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