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Tier-1 brand, Bangalore metro, mid-level generalist data role with 5+ years increases candidate competition.
Role requires financial-services operational domain knowledge and governance, limiting cross-industry transferability.
Explicit 5+ years, regulated financial domain expertise, and mandatory data governance and AI controls drive strict filtering.
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Own and operate end-to-end data pipelines and data products powering AI-driven workflows in Global Delivery operations.
Act as Data Steward ensuring data quality, lineage, controls, and governance across analytics, automation, and AI decisioning.
Collaborate with product, AI, and platform teams to enable scalable, secure, and observable AI/agentic operational workflows with auditability and control mechanisms.
5+ years of hands-on data engineering experience in platform, infrastructure, or large-scale enterprise environments.
Strong SQL and Python (or similar) proficiency for data processing, validation, and automation.
Experience in data lifecycle management, data quality, metadata, controls in regulated/operational domains (fund accounting, middle office, custody, payments, transfer agency).
Degree in Computer Science, Engineering, or equivalent practical experience in financial services domain.
Experienced in production-grade scalable data pipelines supporting AI/automation in complex operational business environments.
Comfortable leading data governance, data stewardship, and interpret business control requirements into technical data/AI controls.
Operates effectively in small, high-impact teams with cross-functional collaboration and significant organizational visibility.