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Strong employer brand and metro Bengaluru location increase applicant competition despite role specialization.
Requires securities services and financial data expertise, limiting cross-industry transferability.
Explicit 7+ years, required securities services expertise and specific data/AI tech stack create high shortlisting strictness.
Define and execute the product vision, strategy, and roadmap for Securities Services Data and AI Centre of Excellence aligned with business and client needs.
Provide technical leadership in data and agentic AI architecture, including data ingestion, processing, analytics, RAG, and prompt engineering to build scalable AI/ML solutions on data lakes.
Oversee end-to-end product delivery and champion best practices in data quality, lineage, and metadata management across stakeholder groups.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Minimum 7 years of experience in technical product management or data engineering with exposure to data lake technologies (Databricks, Hadoop, Spark, AWS, Azure) and AI/ML applied to financial data.
Strong domain expertise in securities services, financial data, or capital markets.
Work Experience Required: 7+ years in relevant technical product management or data engineering roles.
Operates effectively in global, cross-functional teams managing complex data and AI product portfolios in financial services.
Possesses hands-on experience building and managing large-scale data pipelines and AI analytics solutions within securities services or capital markets domain.
Skilled in technical leadership covering data architecture, ETL, data quality frameworks, AI model fine-tuning, and applied AI leadership driving scalable business impact.