Technical Senior Consultant – Risk Data Management

Technical Senior Consultant – Risk Data Management

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 Senior Consultant, you will have the opportunity to gain valuable hands-on experience working alongside leading professionals while building your professional skills in a variety of analytical techniques and industry specialties. The Senior Consultant is a key contributor in providing data and analytics solutions to our clients, and you will have following roles:

• Designing and implementing solutions to various data related technical challenges such as data architecture, data platforms, data solution implementation, data catalog implementation, data quality and data security
• Leveraging data analytics tools/software build robust and scalable solutions
• Integrating and/or piloting next-generation technologies such as cloud platforms, machine learning and Generative AI (GenAI)
• Working with clients to understand their challenges and requirements
• Developing custom scripts, APIs and algorithms to automate data processing integration and analysis to generate insights
• Presenting findings and recommendations to stakeholders in a clear, impactful manner
• Facilitating change management processes to ensure smooth adaptation of new processes / data practices
• Data Catalog Implementation and Management experience: Able to lead the implementation and configuration of the data catalog platforms. Able to manage and maintain the catalog environments, ensuring optimal performance and availability. Able to develop and enforce best practices for data cataloging, metadata management, and data lineage.
• Data Governance and Compliance Experience: Ability to collaborate with data stewards, data owners, and business users to define and enforce data governance policies and standards. Awareness and experience of compliance with data privacy regulations (e.g., GDPR, CCPA) and internal data governance policies to consider in implementation. Able to develop, monitor and report on data quality metrics and governance KPIs.
• Data Integration and Management experience: Experience of integrating data catalogs such as Alation and Collibra with various data sources, databases, and BI tools. Ability to develop and maintain data integration workflows and processes.
• User Training and Support experience: Experience of providing training and support to end-users on how to effectively use the data catalog platforms. Ability to build and maintain user documentation, training materials, and best practice guides. Extensive experience of data discovery, analysis, and reporting tasks.
• Continuous Improvement: Ability to identify opportunities for improving data catalog functionality and user experience. Stay up to date with the latest catalog platform features, updates, and industry best practices. Experience of participating in data governance and data management forums and communities.

The Team

Our Regulatory & Financial Risk offering supports clients' regulatory and compliance needs, 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 & analytic infrastructures.

Required Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field
• 5+ years of experience in data architecture, data management, data engineering, data science or data analytics
• Proficiency in tools in the following areas:
• Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.)
• Big Data Tools (e.g., Hadoop, Hive, Pig, Impala, Mahout, etc.)
• Cloud Technologies (e.g., GCP, AWS, Azure SQL Server, Synapse, Databricks, etc.)
• Data Management (e.g., Alation, Informatica, Collibra, etc.)
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