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Senior, niche AI plus banking domain reduces applicant density.
Requires banking/regulatory domain experience, reducing transferability across industries.
Mandatory 12+ years, banking domain expertise, and specific AI/data/cloud skills make hiring filters highly rigid.
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Lead end-to-end delivery of AI, data engineering, and cloud-based transformation programs focusing on Banking, Capital Markets, or Financial Services domains.
Own delivery planning, execution tracking, governance, quality assurance, and stakeholder reporting for complex enterprise-scale AI/ML and cloud engagements.
Provide technical and delivery leadership, collaborating with stakeholders to define solution roadmaps and guide scalable AI and data platform implementations.
12+ years of overall experience in AI engineering, data engineering, cloud technologies, data platforms, or enterprise technology delivery.
Strong domain experience in Banking, Capital Markets, or Financial Services with exposure to regulatory, risk, compliance, and data governance.
Hands-on knowledge of AI/ML concepts, GenAI, cloud platforms (AWS/Azure/GCP), modern data platforms (Databricks, Snowflake, Data Lakes), Python, SQL, Spark/PySpark, and ETL/ELT pipelines.
Experience in delivery governance, risk management, stakeholder reporting, and managing client engagement in complex programs.
Experienced leader capable of managing complex AI/data engineering delivery programs within regulated financial services environments.
Technical and strategic lead with a track record of driving end-to-end AI and cloud transformation engagements, balancing hands-on expertise and delivery management.
Able to engage client stakeholders effectively, manage expectations, and guide cross-functional teams to deliver scalable, compliant AI/ML and data solutions.