Consultant-Data Risk Management

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

Consultant - AI & Data Risk Management - Financial ServicesOur 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.

Consultant - AI & Data Risk Management – Financial Services

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.

Work you’ll do

As a Consultant in our AI & Data Risk team, you will contribute to innovative data-driven solutions for clients across financial services, fintech, and technology industry sectors. In this role you will:

• Support multi-disciplinary teams by collaborating with senior consultants, managers, and client stakeholders to deliver high-quality data and analytics engagements.
• Contribute to assigned initiatives by helping translate business needs into clear requirements, priorities, and execution plans for AI and data engineering teams.
• Support project workstreams, including planning, task execution, issue tracking, and coordination across business, data, and technology stakeholders.
• Help modernize business and technology processes in support of client objectives and project deliverables, including exploring agentic and automated workflows.
• Partner with business, data, and technology teams to capture, document, and translate requirements for large-scale data and AI initiatives.
• Conduct data discovery and analysis activities, including metadata curation, business glossary alignment, data lineage, data classification, and source-to-target mapping to support a strong data governance foundation.
• Assess data readiness for AI and agentic consumption by evaluating datasets for quality, completeness, and semantic requirements, and by supporting ontology development, including entities, relationships, and taxonomies.
• Assist in designing and building AI-powered agents, accelerators, and reusable tooling to improve delivery speed and quality across engagements.
• Perform technical analysis, develop data pipelines, and support technical reviews for solutions built by the team.
• Prepare project documentation, status updates, and client-ready deliverables that summarize progress, technical findings, and recommendations.
• Present findings and insights to internal and client stakeholders in a clear, concise, and professional manner.

The successful candidate would possess these skills:

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Innovative AI first mindset
• 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 provide clear guidance to others

The team

Our Regulatory & Financial Risk offering supports clients' business priorities, balancing risk and regulatory requirements with enhancing business value and optimizing outcomes. We deliver enhanced value through strategic transformation, end-to-end implementation, and focus on business-as-usual sustainability across processes, controls, and data & analytics infrastructure.

Qualifications

Required:

• Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field.
• 2+ years' experience in data analysis, data architecture, data management, or data engineering.
• 1+ year of experience in the financial services industry, including investment management or insurance.
• Demonstrated proficiency or hands-on experience with relevant tools and platforms, including:
• Data Management: Collibra, Alation, Informatica, Atlan, Anomalo, Ataccama, or similar tools.
• AI-Assisted Development and Modern Data Engineering: Cursor, GitHub Copilot, Claude Code, dbt, Airflow, Git/GitHub, or similar tools.
• Predictive Analytics: Python or R.
• Data Visualization: Tableau, Power BI, or similar tools.
• Data Mining/Data Warehousing: Amazon Redshift, Google BigQuery, Databricks, Snowflake, or similar platforms.
• Programming/Scripting: Python, SQL, Java, Scala, or similar languages.
• Experience or familiarity with:
• Data modernization and migration projects in financial services.
• Data governance best practices, especially in the context of AI data readiness, data semantics, and ontologies.
• Communicating complex technical information to both technical and non-technical stakeholders.
• 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 in Computer Science, Information Technology, Information Systems, or a business-related field.
• Related certifications such as PMP, AWS/Databricks/Azure/GCP Cloud Certification, or CDMP.

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 $86700 to $170900

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.