Business Transformation Consultant-Data Analytics

Introduction

In this role, you will work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe.

You will collaborate with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including IBM Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you will be supported by mentors and coaches who will encourage you to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground-breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and learning opportunities in an environment that embraces your unique skills and experience.

Your Role And Responsibilities

• The candidate will lead the design and implementation of a modern data platform leveraging Databricks and DBT, driving migration and transformation initiatives. This includes migrating data warehousing components—such as ETL/ELT scripts and datasets—from legacy systems like Teradata and MS SQL to Databricks. The role also involves architecting comprehensive data governance frameworks encompassing data lineage, metadata management, and data quality processes. The candidate will collaborate with cross-functional teams to ensure scalable, high-performance data solutions aligned with business objectives.
• Lead GenAI (Azure Open AI based) experiment lab for production-graded solutions. Imbibe LLM-based solutions into Data Platform migration initiatives. Serve as the single point of contact for model risk management from a financial services regulation perspective. The candidate will collaborate with cross-functional teams to ensure scalable, high-performance data solutions aligned with business objectives
  
  

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Strong communication and leadership skills, with experience in stakeholder engagement and project delivery.
• Proficiency in SQL and experience with data warehousing platforms such as Teradata and MS SQL.
• Expertise with Databricks for advanced data processing and analysis. Proven ability to design and implement ETL/ELT workflows in complex environments.
• Deep understanding of data governance concepts, including data lineage, metadata, and data quality.
• Experience with leading GenAI (Azure Open AI based) experiment labs. Knowledge of incorporating LLM-based solutions into data platform migration initiatives
  
  

Preferred Technical And Professional Experience

• Strong knowledge of DBT (Data Build Tool) for transformation pipeline implementation.
• Experience with cloud platforms like AWS, Azure, or Google Cloud for data services.
• Familiarity with model risk management in the context of financial services regulation