Dheeraj Kumar
Global Program, Project, Product, Operations & Quality Management Professional (PMP®) | GenAI- IIT Guwahati | XLRI Business School (PGCBM) | Driving Digital Transformation, Efficiency, Automation,Risk & AI (GARP) & Scale
- Role
- Senior Manager Lead Operations at FactSet
- Location
- Hyderabad, TG, IN
- LinkedIn followers
- 500 followers
About Dheeraj Kumar
Strategic AI Project and Program Leader managing an 18-product portfolio serving 13k+ global users. I bridge the gap between complex RAG/Agentic innovation and enterprise-grade Project Management, delivering $12M+ in annualized value. STRATEGIC PROJECT MANAGEMENT & PMO RIGORPortfolio Governance: Directing 45+ cross-functional experts with a $2.5M annual budget. Maintain <5% delivery variance through rigorous Work Breakdown Structures (WBS) and milestone tracking.RAID & Risk Mitigation: Proactively managing RAID logs (Risks, Actions, Issues, Decisions) to ensure 98%+ SLA compliance. Prioritize risk mitigation in AI deployments, reducing production risk by 42%.Agile Transformation: Spearheading Scrum/Kanban adoption, improving team velocity by 32% and reducing feature rework from 18% to 7% via data-driven RICE/MoSCoW prioritization.Resource Optimization: Redesigned global delivery models across Hyderabad and Manila, reducing delivery costs by 11% while maintaining 96% on-time delivery. FEATURED AI PRODUCTS & ROI ($12M+ TOTAL IMPACT)Multi-Agent Index Orchestrator ($1.6M Savings): Designed an agentic platform processing 1.1M financial indexes using SQL-RAG and Tool Calling. Reduced manual intervention by 78% via self-healing workflows.Enterprise GenAI Chatbot ($1.4M Savings): Deployed a GPT-4 RAG architecture with Hybrid Search and Pinecone databases. Reduced support resolution time from 18 mins to 2 mins.Banking AML Triage ($850K Savings): Deployed an LLM-based alert system, cutting false positives by 63% through human-in-the-loop (HITL) validation.Industry Classification Engine ($1.1M Savings): Led fine-tuning of LLMs (SFT, LoRA) for 1.5M+ companies, raising accuracy from 91% to 99.1%. RESPONSIBLE AI & GOVERNANCERegulatory Compliance: Operationalizing ISO 42001, EU AI Act, and NIST AI RMF; achieved 96% compliance with zero regulatory incidents.Audit Readiness: Established AI Ethics Review Boards and comprehensive model cards/data lineage documentation, reducing audit risk by 60%. EXECUTIVE TECH STACKPM Tools: JIRA, Confluence, MS Project, Tableau, Power BI, Aha!AI/Data: GPT-4, Claude, n8n, LangChain, Databricks, Pinecone, Python.Certifications: PMP, Agile/Scrum, Lean Six Sigma, ISO 42001, GARP AI Risk.
Experience
Senior Manager Lead Operations
Apr 2019 — Present
In this role, I bridge the gap between high-level AI strategy and operational execution, managing an 18-product AI portfolio serving global users. My responsibilities span the full product lifecycle, from 0-to-1 launches to enterprise-wide AI governance.AI Product Strategy & Portfolio OwnershipEnd-to-End Lifecycle: Directing 45+ cross-functional teams (Engineering, DS, Design) to build roadmaps, write PRDs, and manage release governance.Feature Prioritization: Utilizing RICE and MoSCoW frameworks to manage backlogs, reducing feature rework by 61% through data-driven user research.Architecture Oversight: Designing RAG architectures and multi-agent workflows; implementing fine-tuning (SFT, LoRA) to drive first-pass accuracy from 82% to 96%.Financial Stewardship: Managing a $2.5M annual tech budget; terminated low-ROI pilots to protect $420K in annual spend while maintaining <5% delivery variance.Program Management & Agile LeadershipAgile Transformation: Spearheading Scrum/Kanban adoption, facilitating all ceremonies, and improving team velocity by 32%.Executive Reporting: Delivering C-suite briefings, MBRs, and quarterly vision presentations to align AI initiatives with enterprise goals.Global Delivery: Optimizing resource allocation across India, Manila, and New York, reducing delivery costs by 11%.AI Governance & Risk (ISO 42001 & EU AI Act)Regulatory Compliance: Designing frameworks aligned with the EU AI Act, NIST AI RMF, and GDPR, achieving 96% compliance.Model Monitoring: Implementing Human-in-the-loop (HITL) controls and bias detection, reducing production risk by 42%.Audit Readiness: Establishing AI Ethics Boards and comprehensive documentation (Model Cards, Data Lineage) to ensure zero regulatory incidents.
Education
Indian Institute of Technology, Guwahati
GenAI for Leaders
XLRI - Xavier School of Management, Jamshedpur
PGCBM, Business Administration and Management, General
FPSB
CFP, Certified financial Planner
2013 — 2015
Indian Institute of Technology, Guwahati
GenAI for Leaders
XLRI Jamshedpur
Postgraduate Degree, Business Administration and Management, General
2018 — 2019
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