Ananya Sharma

About Ananya Sharma

I’m a data-driven product and compliance leader passionate about building responsible, human-centered AI systems. Over the past decade across fintech and banking, I’ve led cross-functional teams to integrate analytics, ethics, and compliance into digital product ecosystems.My work spans designing AI-enabled compliance frameworks, automating regulatory monitoring, and aligning data strategy with enterprise risk objectives. From developing Fair Lending AI models with 95% accuracy to embedding responsible innovation within analytics teams, I thrive on bridging technology with governance.Now, I’m focused on scaling ethical AI practices, enabling trust and transparency in automation, and partnering with executives to operationalize governance that drives both innovation and accountability. I excel at translating analytic insights, engaging stakeholders at all levels, driving meaningful change, and delivering value from data. I am an authentic, innovative, empathetic, and intellectually curious leader with an exceptional record of delivering results across strategic thought leadership, analytic management, and business growth.I bring to the table- Data Science and Advanced Analytics Solution Development and Consulting- Global management skills and using EQ to restructure teams internally to bring transformational solutions- Analytical Strategy Development and product roadmap strategy creation at the enterprise levelAreas of focus: AI Governance | Responsible Innovation | Data Ethics | Compliance Automation | Model Risk Management | ESG & AI Policy | Product Analytics | Strategic Leadership|

Experience

1. Senior Compliance Manager, Experience Owner - Analytics and Advisory, AVP

   Citizens Financial Group, Inc

   Nov 2024 — Present · Boston, MA, US

   Designed AI/ML-driven decision-making frameworks using statistical and fairness models to reduce bias and enhance model transparency across pricing and underwriting.•Partnered with data engineering, risk, and legal teams to embed AI risk classification models and compliance checks within product lifecycles• Lead business-focused product strategy, operational efficiency and roadmaps for reporting & analytics, focusing on Agile methodology along with business lines and product leaders to improve data-driven decisions • Create, maintain, and evolve AI governance policies and procedures covering fairness, explainability, bias, privacy, security, and regulatory compliance• Oversee execution of Domain-level data initiatives including Enterprise-level roadmap

Education

• Bhilai Institute of Technology (BIT), Durg

  Bachelor of Engineering - BE, Computer Science

  2008 — 2012

• Northeastern University

  Master of Science - MS, Data Analytics concentration Statistical Modelling