Business Transformation Specialist

Business Transformation Specialist

Skill required: NA - Business Transformation
Designation: Business Transformation Specialist
Qualifications:Any Graduation
Years of Experience:7 to 11 years
Language - Ability:English(International) - Expert
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com
What would you do? We are looking for a highly skilled BI & GenAI Engineer to design, develop, and maintain scalable Business Intelligence solutions while integrating Generative AI capabilities into analytics, automation, and enterprise workflows. The ideal candidate should have strong expertise in data engineering, BI platforms, SQL, cloud technologies, and modern GenAI frameworks such as LLMs, RAG architectures, vector databases, and AI orchestration tools. This role bridges traditional analytics with next-generation AI-driven insights and automation. Develop transformation vision, assess vision feasibility and capability gaps, plan journey management. Translate economic trends into industry competitive advantage, transform a business to enable profitable & sustainable growth.
What are we looking for? • Strong SQL and Python programming skills. • Experience with Power BI/Tableau/Looker. • Hands-on experience with: o LangChain o LlamaIndex o OpenAI APIs o Hugging Face • Understanding of: o RAG architectures o Embeddings o Vector search o AI agents • Experience with cloud platforms (AWS/Azure/GCP). • Knowledge of REST APIs and microservices. • Familiarity with Git and DevOps practices. • Exposure to MLOps/LLMOps tools. • Knowledge of NLP and machine learning concepts. • Experience in enterprise analytics modernization projects.
Roles and Responsibilities: •Business Intelligence & Data Engineering • Design and develop interactive dashboards and reports using BI tools such as: o Power BI o Tableau o Looker o Qlik • Build and optimize ETL/ELT pipelines. • Develop scalable data models and semantic layers. • Write complex SQL queries and optimize database performance. • Integrate data from multiple enterprise systems and APIs. • Ensure data quality, governance, and security standards. Generative AI Engineering • Develop GenAI-powered applications using LLMs and AI frameworks. • Build Retrieval-Augmented Generation (RAG) pipelines. • Implement prompt engineering and fine-tuning strate