AI & Data Risk Consultant - Financial Services

Deloitte France; United States; On-site; USD 87,000 - 171,000; Full time

Job summary

Deloitte seeks a Consultant in AI & Data Risk Management for Financial Services to help clients translate risk and regulatory needs into actionable data solutions. You will collaborate with cross-functional teams and contribute to data governance, AI readiness, and modern data engineering initiatives.

The role emphasizes data discovery, requirements translation, and delivering client-ready insights, with an emphasis on collaboration, communication, and delivering high-quality analytics

Qualifications

• Bachelor's degree in a relevant field.
• 2+ years' experience in data analysis, data architecture, data management, or data engineering.
• 1+ year in financial services, including investment management or insurance.
• Experience with data governance, AI readiness, semantics, and ontologies.
• Ability to travel up to 50% on average.

Responsibilities

• Contribute to innovative data-driven solutions for clients in financial services, fintech, and tech.
• Translate business needs into clear requirements for AI and data engineering teams.
• Support data discovery, metadata curation, and data governance activities.
• Design and build AI-powered agents, accelerators, and reusable tooling.
• Prepare client-ready deliverables and present findings clearly.

Skills

Team collaboration

Communication

AI-first mindset

Attention to detail

Relationship building

Project leadership

Prioritization

Deadline adherence

Education

Bachelor's degree in CS/DS/IT

Master's degree (preferred)

Certifications (PMP, cloud, CDMP)

Tools

Collibra

Alation

Informatica

dbt

Airflow

Git/GitHub

Python

SQL

Tableau/Power BI

Redshift/BigQuery/Snowflake

Job description

Deloitte seeks a Consultant in AI & Data Risk Management for Financial Services to help clients translate risk and regulatory needs into actionable data solutions. You will collaborate with cross-functional teams and contribute to data governance, AI readiness, and modern data engineering initiatives.

The role emphasizes data discovery, requirements translation, and delivering client-ready insights, with an emphasis on collaboration, communication, and delivering high-quality analytics