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# Manager Risk and Forensics - Data Management

- **Company:** Deloitte T.T.L.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $141,200 - $278,300
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, C Sharp (Programming Language), Databases, Data Visualization, File Systems, Elasticsearch, Python (Programming Language), Machine Learning, Natural Language Processing, Power BI, SQL Databases, Tableau (Software), Unstructured Data, Generative AI, Information Technology, Vba Programming Language, Data Management, Nuix, Programming Languages
- **Published:** November 14, 2026
- **Apply:** https://dejobs.org/x/x/1DCADD858E4C4EE0B0312C51F2004871/job/

## About the Role

* 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 mentor and provide clear guidance to others, Required:
 * Bachelor's degree in Data Science, Analytics, Statistics, Mathematics, Computer Science, Management Information Systems, Engineering, Business Analytics, Economics, or Finance. 6+ years of consulting experience in forensics, eDiscovery, information governance, or content archiving.
 * Experience leading project teams and managing client engagements, including scope, work plans, timelines, resource allocation, delegation, oversight of deliverables, client presentations, and supervision, coaching, and development of team members.
 * Experience with eDiscovery platforms such as Relativity, Nuix, or Brainspace; contract and/or unstructured data analytics and generative artificial intelligence (AI) platforms such as Pramata, Harvey, or Legora; databases and file systems; data visualization tools such as Tableau or Microsoft Power BI; and at least one programming language: Java, Structured Query Language (SQL), Python, C#, or Visual Basic for Applications (VBA).
 * 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.
 * You can expect to co-locate on average 1-2 times a week with variations based on types of work/projects and client locations.
 * Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve.
 * Limited immigration sponsorship may be available.

Preferred:

 * Master's degree.
 * Experience with natural language processing (NLP), machine learning, and generative artificial intelligence (AI).
 * Experience with information governance, document retention, regulatory archiving, write once, read many (WORM) storage, and Securities and Exchange Commission (SEC) Rules 17a-3 and 17a-4.
 * Experience using Elasticsearch.
 * Experience developing and implementing records taxonomies.
 * Experience using Amazon Web Services (AWS) and/or Microsoft Azure cloud services.

## Description

As a Manager Risk and Forensics on the Forensic, Discovery, & Financial Crime team, you will be responsible for:

 * Manage day-to-day engagement delivery, including scope, work plans, timelines, resources, and the quality of deliverables.
 * Lead the preparation and presentation of reports, findings, and recommendations for client stakeholders and engagement leadership.
 * Provide hands-on technical leadership using Relativity and other eDiscovery and unstructured data technologies, including generative AI tools.
 * Define resource requirements, assign responsibilities, and adjust staffing priorities as engagement needs evolve.
 * Supervise, coach, and develop consultants and senior consultants, providing clear direction and actionable feedback.
 * Develop and maintain client relationships, manage expectations and delivery issues, and lead practice-improvement initiatives.