Manish Daga

Senior Director, EPM Engineering @ Oracle | Agentic AI, Machine Learning | Building AI Planning Agent

Role
Senior Director, Software Development Ipm (Agentic Ai, Generative Ai, Ml) at Oracle
Location
Bengaluru, KA, IN
LinkedIn followers
500 followers

About Manish Daga

Senior leader owning strategy, product, and engineering for Intelligent Performance Management in a top-tier Cloud EPM suite; shipping Agentic AI, ML, insights and narratives that improve analyst productivity, forecasting accuracy, and finance cycle times at enterprise scale with governed controls.Core achievements- Built and scaled Intelligent Performance Management capabilities embedded in Cloud EPM to accelerate analysis, forecasting, and narrative generation across planning and close workflows for enterprise finance teams- Led multi-hour enablement for 100+ partners on Gen AI/ML capabilities in EPM, improving field proficiency and solution adoption in partner-led deployments across regions- Shaped the product direction for insights, tagging, and collaboration features in Cloud EPM to increase analyst productivity and shorten decision cycles for CFO organizations- Hands‑on and strategic leadership in building and shipping enterprise products, using multiple technologies - Java/J2EE, JavaScript/JSF, REST APIs, Microservices, Python, RAG, Vector DB, Graph Databases,Agentic frameworks/LangChain, MCP, cloud native architectures, cloud platforms, MLOps practices, design patternsand test automation frameworks-11 patents with significant commercial impact

Experience

  1. Senior Director, Software Development Ipm (Agentic Ai, Generative Ai, Ml)

    Oracle

    Oct 2016 — Present · Bengaluru, IN

    Own the roadmap and delivery for IPM, embedding Gen AI, Agentic AI, ML directly into EPM planning and close processes to increase adoption and stickiness of the finance suite among enterprise customers-Scaled field and partner readiness via deep-dive training for 100+ Cloud EPM partners covering insights and ML features, driving broader market understanding and deployment velocity for AI capabilities within the EPM customer base-Drove feature design for collaboration via tags and insight workflows in Cloud EPM, enabling faster identification, discussion, and resolution of anomalies by finance users in large organizations-Partnered across product, engineering, and solution teams to mature Intelligent Performance Management as a category differentiator in the EPM market, aligning with CFO-suite priorities for actionable analytics and governed AI.Key Achievements:Adoption and usage - IPM adoption more than doubled over the past two years, sustaining >100% YoY growth across enterprise cohorts. Monthly active usage of narrative insights increased by ~400% over the last 12 months, signaling durable feature-market fit within finance workflows.Cycle-time and productivity impact- Post‑IPM deployment, customers achieved 70–80% reductions in planning and close cycle times, variance analysis turnaround, and manual analysis hours through automated insights and narratives.Competitive and GTM leverage-IPM capabilities within Oracle EPM served as a clear differentiator in competitive evaluations, improving win probability in head‑to‑head cycles and accelerating AI feature activation during implementations.Leadership and org-building-Aligned PM, engineering, data science, and field teams to ship governed, explainable AI built for finance workflows and audit demands in large enterprises-Served as an external evangelist for intelligent EPM, publishing and presenting on insights and ML to accelerate adoption and value realization

Education

  • Sri Guru Gobind Singhji Institute of Engineering and Technology, Nanded

    B.E, Electronics

    1989 — 1993

  • Indian Institute of Management Bangalore

    EGMP, General Management

    2009 — 2009

Skills

  • Software Development Life Cycle (Sdlc)
  • Java
  • Epm
  • Big Data Analytics
  • Eai
  • Hibernate
  • Service-Oriented Architecture (Soa)
  • Java Enterprise Edition
  • Etl
  • Enterprise Software
  • Enterprise Architecture
  • Soa
  • Leadership
  • Data Science
  • Oracle
  • Requirements Analysis
  • Cloud Computing
  • Business Intelligence
  • Sdlc
  • Solution Architecture
  • Essbase
  • Xml
  • Spring
  • Integration
  • Jsf
  • Olap
  • Hadoop
  • R
  • Software Project Management
  • Software Development
  • Agile Methodologies
  • Management
  • Data Warehousing
  • Business Analysis
  • Ajax
  • Hyperion Planning

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Manish Daga — Senior Director, Software Development Ipm (Agentic Ai, Generative Ai, Ml) at Oracle in Bengaluru, KA, IN | Unifers