Manager-Data Risk Management

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 a...