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Tier-1 bank, metro location, and mid-level generalist data role increases candidate competition.
Strong investment banking controls, MNPI and domain-specific processes limit cross-industry transferability.
Explicit years plus required Power BI, AI agent-building, and financial controls raise strict screening thresholds.
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Own and lead data integrity transformation initiatives involving client data, reporting workflows, contact maintenance, and governance processes.
Develop and maintain Power BI dashboards and management reports to track volumes, SLAs, quality checks, and exception trends.
Design and implement AI-assisted workflow solutions using approved platforms, ensuring human oversight, risk controls, and measurable impact assessment.
2-8 years of relevant experience in data integrity, operations transformation, investment banking support, or related financial services functions.
MBA/PGDM in Finance, Data Analytics, or quantitative/business discipline, or equivalent practical experience.
Practical experience with GenAI/AI productivity tools, AI agent/configuration platforms, and responsible usage policies.
Excellent communication skills in English; ability to collaborate globally and manage multiple tasks in a fast-paced environment.
Experienced in combining data integrity with operational control and stakeholder management within investment banking or similar environments.
Strong technical proficiency in Power BI, AI tools (e.g., Agentrix), automation, and workflow assistant platforms.
Strategic thinker capable of identifying root causes and translating risks and inefficiencies into automated, scalable solutions with measurable outcomes.