Manager-Data Risk Management

Deloitte France; United States; Hybrid; USD 141,000 - 278,000; Full time

Job summary

Deloitte is seeking a Manager for AI & Data Risk Management in Financial Services. You will lead data-driven transformations, manage delivery teams, and shape AI/data solutions from conception to execution.

You will guide data governance, ontology design, and data readiness, partnering with client stakeholders to deliver scalable outcomes across FS and fintech sectors.

Qualifications

• Bachelor's degree in Computer Science, Data Science, IT, Information Systems, or related field.
• 6+ years in data analysis, data architecture, data management, or data engineering.
• 3+ years in financial services (investment management or insurance).
• Experience with data governance, AI data readiness, semantics, and ontologies.
• Ability to travel up to 50% on average.

Responsibilities

• Lead multidisciplinary teams delivering data, analytics, and AI engagements with strong execution.
• Serve as product owner or delivery lead, translating business needs into roadmaps for AI/data teams.
• Coach and review junior team members for skill development.
• Drive modernization of business and technology processes for client objectives.
• Define requirements with stakeholders and align priorities for large-scale AI initiatives.
• Oversee data discovery, metadata, data lineage, and data governance foundations.

Skills

Data governance

AI in FS

Data engineering

Project leadership

Stakeholder management

Education

Bachelor's degree in Computer Science or related field

Tools

Collibra

Informatica

dbt

Airflow

Tableau

Power BI

Job description

Manager - 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 Manager in our AI & Data Risk team, you will lead data-driven transformation and risk-focused analytics engagements for clients across financial services, fintech, and technology industry sectors. You will be responsible for managing delivery teams, shaping solution approaches, and helping clients turn business needs into practical, scalable data and AI outcomes. In this role you will:

• Lead multidisciplinary teams to deliver high-quality data, analytics, and AI engagements, managing day-to-day execution, workplans, scope, timelines, risks, and dependencies.
• Serve as product owner or delivery lead on assigned initiatives, shaping priorities and translating business needs into a clear roadmap and execution plan for AI and data engineering teams.
• Manage, coach, and review the work of junior team members, providing direction, feedback, and support for skill development.
• Drive modernization of business and technology processes in support of client objectives and project deliverables, including opportunities to apply agentic and automated workflows.
• Partner with client business, data, and technology stakeholders to define requirements, align priorities, and support large-scale data and AI initiatives.
• Lead data discovery and analysis efforts, including metadata curation, business glossary alignment, data lineage, classification, and source-to-target mapping, to support a strong data governance foundation.
• Assess and improve data readiness for AI and agentic consumption, evaluating datasets for quality, completeness, and semantic requirements, and helping establish ontology components such as entities, relationships, and taxonomies.
• Guide the design and build of AI-powered agents, accelerators, and reusable tooling to improve delivery speed, quality, and consistency across engagements.
• Provide technical oversight across data analysis, data pipeline development, and solution reviews, helping teams deliver practical, reliable, and client-ready outputs.
• Own project documentation, status reporting, issue tracking, and client-ready deliverables that clearly communicate progress, technical findings, risks, and recommendations.
• Facilitate client workshops and present findings, insights, and recommendations to technical and non-technical stakeholders in a clear and compelling manner.
• Build and sustain trusted relationships with client stakeholders and Deloitte team members, contributing to account growth and future engagement opportunities where appropriate.

The successful candidate would possess these skills:

• 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

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.
• 6+ years of experience in data analysis, data architecture, data management, or data engineering.
• 3+ years of experience in the financial services industry, including investment management or insurance.
• Demonstrated proficiency in relevant tools and platforms, including:
• Data management: Collibra, Alation, Informatica, Atlan, Anomalo, Ataccama, or similar platforms.
• AI-assisted development and modern data engineering: Cursor, GitHub Copilot, Claude Code, dbt, Airflow, Git/GitHub, or similar tools.
• Predictive analytics: Python, R.
• Data visualization: Tableau, Power BI, or similar platforms.
• Data mining and data warehousing: Amazon Redshift, Google BigQuery, Databricks, Snowflake, or similar platforms.
• Programming and scripting: Python, SQL, Java, Scala, or similar languages.
• Experience and 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.
• Presenting complex technical information to 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 $141200 to $278300.

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.