Regulatory, Risk & Forensic
Our Regulatory, Risk & Forensic team supports client leaders to translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform organizations. Leverage advanced data, AI, and emerging technologies with deep domain and industry insights to help bring clarity from complexity and accelerate the path to value creation.
Position Summary
Level: Senior Consultant or equivalent
As a Senior Consultant at Deloitte Consulting Services, you will design, develop, and deploy enterprise-scale software solutions, lead the creation of robust pipelines and manage code deployment across environments. You will collaborate with cross-functional, global teams to translate functional requirements into effective deliverables, independently guiding and mentoring junior team members. Your role spans the full project lifecycle, including estimation, planning, execution, and tracking key metrics for analysis, ensuring high-quality and timely delivery of solutions.
Work you’ll do:
Our Regulatory, Risk & Forensic Operate professionals help organizations effectively navigate business risks and opportunities—from strategic, reputation, and financial risks to operational and regulatory risks—to gain competitive advantage. We apply our experience in ongoing business operations and corporate lifecycle events to help clients become stronger and more resilient. Our market-leading teams help clients embrace complexity to accelerate performance, disrupt through innovation, and lead in their industries.
We support clients by delivering Operate services spanning the Regulatory, Risk & Forensic portfolio. We embed continuous advantage through domain, industry, technology / Gen AI, and transformation skills to perform client business functions that manage risk and deliver value - added outcomes.
The team:
Under the GRM DSM Executive’s leadership, the Data/Solutions Architect will evaluate the existing GRM data architecture and design solutions to simplify and optimize the data environment. The Data/Solutions Architect will also be accountable for contributing to the architecture for Risk Data and Reporting Platform which will enable Data Management and Reporting capabilities for risk line of businesses. Additionally, the architect will also evaluate data tools and conduct Proof of Concepts to arrive at recommended solutions and develop remediation plans to implement those solutions.
The key job responsibilities will be to:
· Demonstrates knowledge of data solutions, data platforms, data management & governance practices and standards
· Uses architecture tools to create design artifacts, including but not limited to Data models/architecture, API design and data solutions architecture.
· Leads strategy & architecture for one or more data management products such as Data Catalog, Data Lineage, Data Feeds Registry, Data Quality and related data services.
· Design data products to provide high quality data for quantitative modeling solutions for GRM.
· Applies knowledge to perform regular assessments of the health and maturity of data & information capabilities for the Global Risk Management (GRM) domain.
· Evangelize and design new data solutions and capabilities to support risk lines of businesses.
· Participates in efforts to define the mission, goals, critical success factors, principles, and procedures for data strategy and information architecture.
· Participates in building the business cases required to secure approval and funding for the Data and Analytical efforts.
· Understands the end-to-end change impact by managing linkages from information capabilities to technical assets (operational + analytical)
· Maintains integrated logical data models and data flows to understand data and its interdependencies regardless of its usage pattern.
Qualifications
Must Have Skills/Project Experience/Certifications:
- 6+ years of experience in data platform/solutions and data management architecture; or if Master’s degree, 5+ years’ experience.
- Strong experience driving the design and development of data solutions, data management & governance products as well as data and reporting platforms.
- Expertise in architecting complex design patterns, microservices, API design, data warehouse and data lakes and data pipelines.
- Ability to drive data strategy and deep understanding of industry paradigms such as data mesh, data contracts, integration fabric etc.
- Experience with relational and NoSQL data stores and big data environments.
- Hands-on expertise with data technologies and computing frameworks including but not limited to, Python, Spark, Airflow, Javascript and SQL.
- Ability to research new data technologies, architect novel data solutions for business problems and prove design approach through hands-on prototyping.
- Experience with data modeling for complex data pipelines, data lake and data platforms.
- Strong experience with data management platform such as Collibra (preferred) or understanding of open-source frameworks such as Apache Atlas, Amundsen, Datahub, Marquez etc.
- Exceptional communication skills and the ability to communicate effectively at all levels of the organization; this includes written and verbal communications as well as visualizations.
Good to have
- Working knowledge of data storage layers / formats such as Apache Iceberg, Hudi, Delta Lake etc. as well as Parquet, JSON and Avro.
- Experience with Graph processing and storage technologies such as Knowledge Graphs / Property Graphs with working knowledge of at-least one graph store such as TigerGraph (preferred).
- Exposure to Linked Data / Open Data, and GenAI based data solutions is a plus.
Bachelor’s degree in computer science / engineering, Data Science or Analytics
Location:
- Chennai / Hyderabad
Shift Timings:
- · Overlap with US/UK counterparts as per business requirements