Manager-AI and Data Risk Management

Deloitte France; Minneapolis (MN); On-site; USD 141,000 - 278,000; Full time

Job summary

Deloitte is seeking a Technical Manager - AI & Data Risk Management in Financial Services to lead data analytics engagements and build robust data platforms. You will guide teams, design governance and security solutions, and pilot GenAI across client projects.

The role requires strong communication, project leadership, and experience with data architecture and modern tools. 50% travel is expected; hybrid work option may be available.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems, or related field.
• 7+ years' experience in data architecture, data management, or data engineering.
• 3 years' experience in financial services or fintech.
• Proficiency in Python, SQL, R, Java, Scala, etc.
• Experience with Databricks, Snowflake, Spark & Kafka; data governance tools.
• Ability to manage large datasets and deliver actionable insights.

Responsibilities

• Lead engagements as a team leader, guiding direction and ensuring alignment with objectives.
• Serve as main client contact, communicating progress and insights to stakeholders.
• Design and implement data architecture, platforms, governance, quality and security.
• Apply FS industry knowledge to build scalable solutions.
• Pilot GenAI, cloud platforms, and other advanced tech in engagements.
• Oversee technical components and perform design reviews.
• Coordinate with cross-functional teams to execute engagements.
• Develop analytics and visualization strategies to transform data into insights.
• Prepare senior management reports detailing progress, challenges, milestones.
• Present findings and recommendations to stakeholders.

Skills

Python

SQL

R

Java

Scala

Data governance

Data security

Data architecture

Data management

Data analytics

Cross-functional leadership

Communication skills

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science / Information Systems / MBA

PMP, Cloud Certification, CDMP or similar credentials

Tools

Databricks

Snowflake

Apache Spark

Kafka

Collibra

Alation

Informatica

Alteryx

Tableau

Power BI

Qlik

Axiom

Redshift

BigQuery

Microsoft SQL Server

Job description

Technical 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

The Manager is a key hands-on leader of a team providing data and analytics solutions to our clients, and you will have following roles:

• Act as a team leader in engagements, providing project oversight and guidance on the direction for the team ensuring the team is aligned with client / engagement objectives

• Be the main point of contact for clients, communicating progress, and insights to stakeholders

• Design and implement solutions to enhance data management capabilities such as data architecture, data platforms, data governance, data quality, and data security

• Apply knowledge of Financial Services industry systems, tools, and technologies to develop robust and scalable solutions

• Integrate and/or pilot next-generation technologies such as cloud platforms, machine learning and Generative AI (GenAI) in designing solutions or execution of engagements

• Oversee technical components of data initiatives and perform technical reviews of solutions designed by the team

• Coordinate with cross-functional teams internally and externally to execute engagements

• Develop strategies for utilizing analytics and visualization tools to transform raw data into actionable insights for the clients

• Prepare reports for senior management that detail progress, challenges, and milestones related to projects and initiatives

• Present findings and recommendations to stakeholders in a clear, impactful 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

• 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.

Required Qualifications:

• Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field

• 7+ years' experience in data architecture, data management, or data engineering

• 3 years' experience in the financial services or fintech industry

• Proficiency in tools in the following areas:

• Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.)

• Big Data Tools (e.g., Databricks, Snowflake, Apache Spark & Kafka, etc.)

• Data Management (e.g., Collibra, Alation, Informatica, Alteryx, etc.)

• Predictive Analytics (e.g., Python, IBM SPSS, SAS Enterprise Miner, RPL, Matl, etc.)

• Data Visualization (e.g., Tableau, PowerBI, Qlik, etc.)

• Data Mining (e.g., Microsoft SQL Server, Amazon Redshift, Google BigQuery, etc.)

• Experience in:

• Reporting tools such as Axiom for regulatory reporting in banking

• Data integration and migration projects within financial services

• Data governance tools and their application in a regulatory context

• Ability to manage large datasets and perform complex data manipulations and analyses

• Strong analytical skills with the ability to interpret complex data and translate it into actionable insights

• Proven track record of effective communication (written and verbal) and complex problem solving in fast paced environments

• Experience managing distributed teams across geographies and overseeing complex projects

• Limited immigration sponsorship may be available

• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve

  Preferred Qualifications:

• Master's degree in Computer Science, Information Technology, Information Systems or a related field OR MBA

• Project Management Professional (PMP), Cloud Certification (e.g. AWS, Azure), Certified Data Management Professional (CDMP), or similar credentials

• 4+ years of experience in the financial services industry

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.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.