About Accenture Song:
Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product, and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content, and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology, and intelligence. Visit us at: www.accenture.com/song
Customer Tech & Delivery is a core pillar within Accenture Song, focused on designing, developing, and delivering world-class digital products and platforms. We work with many of the world’s leading brands to solve their most complex business and technology challenges across industries such as Insurance, Banking, Wealth Management, Retail, Consumer Goods and Travel . We operate end-to-end — from product strategy and architecture to implementation and scale — collaborating across Song’s broader ecosystem, including Service, Operations, Strategy, Advisory, and Creative. We bring together deep technical acumen, human-centered thinking, and data-driven insight to build impactful digital solutions.
Role Responsibilities:
- Assist client teams in the design and implementation of scalable data solutions using modern technologies
- Help identify gaps and inefficiencies in clients’ existing data architecture, working closely with senior colleagues to support analysis and solution development.
- Support the creation of roadmaps and contribute to recommendations for improving client processes and architecture, with mentorship from more experienced team members.
- Advise on innovative ideas and solutions to business problems, including AI and GenAI application
Minimum Qualifications:
- Advanced proficiency in Data Architecture - minimum 5 years of experience advising on data architecture
- Well-rounded knowledge of technical and functional aspects of data management, including Reference Data Management, Data Quality Improvement, Metadata Management, Data Marketplace and Data Governance.
- Experience working in a client-facing / consulting environment to build trusted relationships with client stakeholders and act as a trusted advisor.
- Proficiency in programming languages such as Python, R and in database and big data technologies including SQL, NoSQL, PySpark, Hive, etc.
- Experience working with cloud platforms such as AWS, GCP, or Azure
- Excellent communication (written and oral) and interpersonal skills.
- Ability to apply analytical and creative thought process.
Bonus qualifications:
- Experience working with GenAI / large language models (LLMs) and a strong enthusiasm for staying current with advancements in generative AI and applied machine learning
- Professional experience in data science, machine learning, and business analytics
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