Forensic Technology Manager - Data Analytics at Deloitte
At a glance
- Company
- Deloitte
- Location
- Dublin, IE, Ireland
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Deloitte job
- 🏢 This is Deloitte's only job here right now
- 🛂 Visa: Critical Skills Employment Permit. Occupations on the Critical Skills list: €40,904 a year with a relevant degree guide
Updated 2026-11-02, from our data and official sources.
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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.
Key skills
- SQL — in 521 other listings on The Stack
- Python — in 1159 other listings on The Stack
- Tableau — in 63 other listings on The Stack
- Qlik — in 1 other listing on The Stack
- LookerStudio — not in any other listing on The Stack
- Power BI — in 43 other listings on The Stack
- Apache Hive — not in any other listing on The Stack
- Spark — in 54 other listings on The Stack
- Presto
- Generative AI
- Machine Learning
- Natural Language Processing
On The Stack (as of 2026-11-02)
- This is Deloitte's only listing on The Stack.
- 28 visa-sponsored jobs in Ireland on The Stack, posted in the last 60 days.
Frequently asked questions about Deloitte
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.