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Tier‑1 brand, Mumbai metro presence, and desirable AI/data analytics skillset increase applicant competition.
Role favors financial services and credit domain experience, reducing cross‑industry transferability.
Explicit 8+ years, finance preference, and specific cloud/BI tools plus Tier‑I degree preference make filtering strict.
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Lead AI-driven analytics engineering initiatives including design and delivery of data pipelines, curated data models, and BI solutions supporting credit investment platforms.
Act as AI enabler by researching, evaluating, and integrating AI and generative AI use cases into analytics and reporting workflows across business units.
Collaborate with engineering, platform, and business stakeholders to embed AI capabilities while ensuring data quality, governance, security, and compliance.
8+ years in data analytics, analytics engineering, data engineering, or BI engineering roles.
Experience with AI-enabled analytics or generative AI production implementations.
Strong SQL skills and experience with cloud data platforms like Snowflake, Azure Synapse, Databricks, or Azure Data Factory.
Bachelor's or master's degree in Computer Science, Engineering, or related field; Tier-1 Indian engineering institute degree preferred (IIT/NIT/BITS).
Experienced leader with a proven track record in merging AI capabilities into end-to-end data and BI workflows focused on financial services or credit investment domains.
Hands-on practitioner comfortable guiding teams and collaborating across business and technology functions to deliver scalable AI-enabled analytics solutions.
Skilled in architecting modern cloud data platforms and BI tools while maintaining high standards of data observability, governance, and security compliance.