Manager-AI and Data Risk Management

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…