# Forensic Technology Manager - Data Analytics at Deloitte

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Lead end-to-end forensic data analytics

- **Company:** Deloitte (https://jobs.trythestack.co/companies/deloitte)
- **Location:** Dublin, IE, Ireland
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** SQL, Python, Tableau, Qlik, LookerStudio, Power BI, Apache Hive, Spark, Presto, Generative AI, Machine Learning, Natural Language Processing
- **Posted by employer:** 2026-11-01
- **Added to The Stack:** 2026-11-02
- **Listed until:** 2026-12-31
- **Status:** Active
- **Apply:** https://deloitteie.wd3.myworkdayjobs.com/Experienced_Professionals/job/Dublin/Forensic-Technology-Manager---Data-Analytics_117342?source=LinkedIn (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/forensic-technology-manager-data-analytics-deloitte

## About the role

Responsibilities:
- Lead end-to-end forensic data analytics and eDiscovery investigations, managing scope, quality, budget and client expectations.
- Design and deploy advanced analytical approaches (AI/ML/NLP) to detect fraud, bribery and financial crime in structured and unstructured data.
- Supervise data extraction from ERPs, databases and communication platforms; oversee evidence handling and chain-of-custody practices.
- Create clear, defensible technical reports and client-ready presentations for legal teams, regulators and stakeholders.
- Mentor and coach junior analysts, build team capability, and drive methodological improvements and tool adoption.
- Coordinate with cross-functional teams to integrate findings into remediation, compliance and regulatory reporting.

Requirements:
- Significant, demonstrable experience in forensic or risk analytics (Big Four, consultancy or large corporate forensic teams preferred).
- Expert SQL (T-SQL/PL-SQL) and advanced Python for data extraction, automation and model development.
- Hands-on with BI/visualisation tools (Tableau, Qlik, LookerStudio, Power BI) and familiarity with Big Data stacks (Hive, Spark, Presto).
- Practical knowledge of Generative AI, ML, NLP techniques and eDiscovery platforms (e.g., Relativity) is highly desirable.
- Strong client-facing skills, experience managing senior stakeholder relationships and delivering high-pressure engagements.

## Responsibilities

Lead multiple forensic data analytics and eDiscovery investigations from initiation to delivery, designing and deploying advanced analytical models using AI, ML and NLP. Guide teams in extracting and analyzing data from ERP systems and communications platforms within eDiscovery workflows, and translate complex findings into clear reports for clients, legal counsel, and regulators. Mentor junior staff and manage senior client relationships.

## Requirements

Significant experience in forensic data analytics or risk analytics. Expert-level SQL (T-SQL/PL-SQL) and Python; hands-on experience with data visualization tools (Tableau, Qlik, LookerStudio, Power BI) and Big Data technologies (Hive, Spark, Presto); knowledge of Generative AI, ML, NLP and familiarity with financial crime investigations and regulatory compliance.

## FAQ

- **Is this Forensic Technology Manager - Data Analytics role still open?** It was posted on 2026-11-01 and is listed as active on The Stack. Confirm on Deloitte's application page before applying.
- **Does Deloitte offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Deloitte's site.
- **Where is this role located?** The listing gives the location as Dublin, IE, Ireland. It is marked on-site.
- **What skills does this role ask for?** The listing names: SQL, Python, Tableau, Qlik, LookerStudio, Power BI, Apache Hive, Spark, Presto, Generative AI, Machine Learning, Natural Language Processing.

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## Notes for agents

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