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Tier-1 bank, metro location, mid-level role, and broad AI/data skillset increase competition.
Role requires finance controls, Controller/Treasury domain knowledge, and regulated-process expertise, limiting cross-industry transfer.
Explicit 5+ years, finance controls domain, and required data platform experience raise selectivity.
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Lead discovery and mapping of finance key functions to identify automation and AI augmentation opportunities within Controllers, Treasury, and cross Line of Business finance processes.
Product manage AI-enabled solutions by defining use cases, roadmaps, and implementation priorities for finance jobs leveraging LLMs and agentic AI frameworks in a well-controlled financial environment.
Partner with Finance, Technology, and Analytics teams to deliver modernized data pipelines, improve financial reporting and insights, and support agile delivery practices including backlog management and stakeholder communication.
Minimum 5+ years of experience in data analytics, financial reporting systems, product management, or finance transformation roles.
Experience with Finance, Controllers, Treasury, or financial reporting stakeholders to gather business requirements and deliver analytics solutions.
Practical understanding of AI, LLMs, automation, or advanced analytics concepts applicable to business process improvements.
Experience with financial data platforms or modern data environments such as Databricks, Snowflake, or data warehouses.
Experienced in translating complex finance business processes into clear requirements, use cases, and solution roadmaps for AI and analytics applications.
Strong stakeholder management skills to align and drive execution across Finance, Technology, Product, and senior leadership.
Operates effectively within agile product management frameworks and understands data governance and control requirements in financial services.