Ani Chakrabarti

Ani Chakrabarti

Senior Transformation Executive | AI Enabled Operating Models | Treasury, Risk & Controls Automation

Role
Director - Strategy & Innovation Lead - Controls Automation and Business Process Re-engineering Lead at Citi
Location
New York, NY, US
LinkedIn followers
500 followers

About Ani Chakrabarti

Senior financial services executive with 20+ years of leadership experience across global Tier 1 institutions, specializing in enterprise transformation, treasury, liquidity risk, and regulatory engagement. Proven track record redesigning operating models and control environments through automation, data, and agentic AI, reducing risk, cost, and manual dependency at scale. Trusted partner to regulators and executive management, repeatedly selected for high impact, dual hat roles spanning strategy, COO functions, and innovation.

Experience

  1. Director - Strategy & Innovation Lead - Controls Automation and Business Process Re-engineering Lead

    Citi

    Jun 2023 — Present · New York, NY, US

    Mandate: Modernize Citi’s control environment and operating model by replacing manual controls with technology enabled and AI driven automation while simplifying enterprise processes across lines of business and corporate functions.• Designed and launched an executive sponsored Controls Automation program with a $100MM+ prioritized book of work, materially reducing reliance on manual controls.• Led delivery oversight for 50+ automation initiatives, implementing KPI based tracking to align benefits, risk reduction, and execution certainty.• Designed automation of manual trading and payment controls using Generative and Agentic AI, improving control effectiveness and operational resilience.• Applied LLM based solutions (including Gemini Pro) to integrate investment requests and project tracking, improving identification and execution of automation opportunities.• Developed multi year AI roadmap and operating strategy aligned to regulatory expectations and enterprise risk appetite.• Scoped deployment of agentic AI capabilities (including AI software engineering tools) to address technology capacity constraints and reduce long term cost.• Enhanced maker/checker workflows using AI assisted control validation and exception handling.• Defined enterprise process architecture standards supporting regulatory transformation and risk remediation.• Implemented process health scorecards to identify risk concentrations and efficiency opportunities.• Designed global process distribution frameworks enabling workforce optimization and expense reduction.

Education

  • George Mason University – Costello College of Business

    Finance, Decision Sciences and Management Information Systems

    1997 — 2002

  • MIT Sloan Executive Education

    Certificate, Business Process Design for Strategic Management

  • Saïd Business School, University of Oxford

    Certification, Oxford Fintech Programme

    2017 — 2018

  • Northwestern University - Kellogg School of Management

    Certificate, Strategic Change Management

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