Senior Consultant-Data Risk Management

Deloitte•Boston, MA

36d•$116,200 - $229,100•Onsite

About The Position

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. As a Senior Consultant in our AI & Data Risk team, you will play a critical role in delivering innovative data-driven solutions for clients across financial services, fintech, and technology industry sectors.

Requirements

Bachelor’s degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field
4+ years’ experience in data analysis, data architecture, data management, or data engineering
2+ 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, Attacama, etc.; AI-Assisted Development & Modern Data Engineering: Cursor, GitHub Copilot, Claude Code, dbt, Airflow, Git/GitHub, etc.; Predictive Analytics: Python, R; Data Visualization: Tableau, PowerBI, etc.; Data Mining/Data Warehousing: Amazon Redshift, Google BigQuery, Databricks, Snowflake, etc.; Programming/Scripting: Python, SQL, Java, Scala, etc.
Experience and familiarity with Data modernization and migration projects in financial services
Experience and familiarity with Data governance best practices, especially in the context for AI data readiness, data semantics, & ontologies
Excellent written and verbal communication skills for presenting complex technical information to both 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

Nice To Haves

Master’s degree in Computer Science, Information Technology, Information Systems, or business-related field
Related certifications such as PMP, AWS/Databricks/Azure/GCP Cloud Certification, or CDMP

Responsibilities

Serve as a key contributor on multi-disciplinary teams, collaborating closely with managers and client stakeholders to deliver high-quality data and analytics engagements
Act as product owner on assigned initiatives, shaping priorities and turning business needs into a clear plan that an AI and Data engineering team can execute
Guide and mentor junior team members, providing direction on project tasks and supporting skill development
Drive modernization of business and technology processes in support of client objectives and project deliverables, including exploring agentic and automated workflows
Partner with business, data, and technology teams to capture and translate requirements in support of large-scale data & AI initiatives
Lead data discovery and analysis efforts, including metadata curation and business glossary alignment, and data lineage, classification, and source-to-target mapping, to support a strong data governance foundation
Assess and improve data readiness for AI & Agentic consumption, evaluating datasets for quality, completeness, and semantic requirements, and establishing ontology components such as entities, relationships, and taxonomies
Design and build AI-powered agents, accelerators, and reusable tooling to improve delivery speed and quality across an engagement
Conduct technical analysis, develop data pipelines, and contribute to technical reviews for solutions built by the team
Prepare project documentation, status updates, and client-ready deliverables highlighting progress, technical findings, and recommendations
Present findings and insights to stakeholders in a clear and compelling manner