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Mid-level Bangalore data role with broad, common skillset and enterprise brand, driving high candidate competition.
Requires strong data, cloud, and GenAI experience plus stakeholder engagement, moderately limiting cross-industry transferability.
Explicit 5–7 years plus mandatory SQL, cloud platform, dimensional modeling, and LLM experience raises shortlisting strictness.
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Own end-to-end delivery of data and AI solutions across key business domains, embedding with global business units to translate goals into high-impact use cases.
Lead discovery, prototyping, and deployment of AI applications including generative AI tools and enterprise-scale dashboards and reporting solutions.
Contribute to solution architecture including data modeling standards, integration plans, and produce executive-level dashboards and documentation.
5-7 years of experience in data solutions and advanced analytics with proven deployment of Data and GenAI solutions in business contexts.
Bachelor’s or Master’s degree in quantitative or business-related discipline or equivalent practical experience.
Expert-level SQL and dimensional data modeling skills; experience scaling enterprise cloud data platforms and using LLM APIs or predictive modeling.
Familiarity with data governance concepts.
Experienced in leading AI-driven transformation and integrating generative AI and automation into business workflows to improve operational efficiency.
Able to engage effectively with stakeholders, translate complex business problems into data solutions, and drive adoption of AI technologies among non-technical teams.
Comfortable operating at the intersection of data engineering, AI technology, and strategic business analytics in a forward-deployed role embedded within business units.