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Manager-AI and Data Risk Management

Deloitte US

USA

Full-time

Senior · 7+ years experience

Onsite

USD 141200-278300 yearly / year

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Role Overview

Technical Manager - AI & Data Risk Management – Financial Services

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

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Full Job Posting

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.

Manager-AI and Data Risk Management

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Key Skills for This Role

Full Job Posting

Technical Manager - AI & Data Risk Management – Financial Services

Work you’ll do

The team

Required Qualifications

Preferred Qualifications

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