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Strong Tier-1 brand, metro location, mid-level generalist data role, and broad AI/automation skills increase applicant competition.
Role requires banking data governance, controls, and regulatory knowledge, limiting cross-industry transferability.
Explicit 4+ years plus mandatory SQL, Python, AI tooling, governance and banking controls increases selection strictness.
Lead or participate in AI, automation, analytics, data quality, governance, and operational-improvement initiatives with measurable outcomes.
Analyze and remediate data quality, integrity, and control gaps using SQL, Python, and Microsoft Copilot AI tools; design and support AI-enabled automation and workflows.
Manage project milestones, risks, and stakeholder expectations across Operations and Technology, including documentation, adoption, and benefit measurement.
4+ years of experience in Data Management, Business Analysis, Analytics, or Project Management.
Proficiency in SQL and working knowledge of Python for data analysis or automation.
Experience using AI tools like Microsoft Copilot for analysis and process improvement.
Work Experience Required: 4+ years explicitly mentioned; notice period not mentioned.
Experienced in managing moderately complex projects or initiatives involving multiple stakeholders, dependencies, and deliverables.
Skilled in translating ambiguous business/data problems into structured recommendations and solution designs using AI and automation technologies.
Familiar with data governance, banking/financial data, regulatory and operational controls, Agile/product-management environments, and influencing cross-continental teams without direct authority.