Ganesh Kedari
Pune
Summary
An expert in transitioning organizations from traditional Business Intelligence to AI-powered decisionmaking. With over 16 years of experience in data & analytics, experienced in designing scalable solutions that integrate cloud, AI/ML, and advanced analytics to deliver measurable business outcomes. A key differentiator is ability to bridge technology and strategy-guiding executives on data roadmaps while mentoring teams to transform complex data into simple, actionable insights.
Overview
17
17
years of professional experience
1
1
Certification
Work History
Staff Architect - Analytics
IQVIA
11.2019 - Current
- Architected AI-driven, conversational analytics platforms leveraging Whiz Ai's conversational analytics to transform data interaction for global Life Sciences clients, enabling natural language querying and real-time insights across commercial functions.
- Designed and deployed cloud-native, multi-cloud data architectures integrating SAP HANA, Snowflake, AWS Redshift, Azure Synapse, Databricks, Salesforce, and Veeva CRM, achieving a 35% reduction in time-to-insight through metadata-driven pipelines.
- Developed and operationalized ML and NLP models for anomaly detection, predictive forecasting, and contextual analytics, enhancing accuracy and business decision-making.
- Implemented DevOps and MLOps automation pipelines using Kubernetes, Helm, Jenkins, and Grafana, ensuring continuous integration, scalable deployments, and proactive monitoring of analytics workloads.
- Collaborated with product, business, and data science teams to align architecture with strategic objectives, delivering solution blueprints, PoCs, and ROI-based implementation roadmaps for pharmaceutical enterprises.
- Mentored and led cross-functional engineering teams, fostering a culture of innovation, accountability, and continuous learning through structured capability-building programs.
- Established frameworks for data governance, quality, and interoperability, ensuring compliance, scalability, and enterprise-wide reusability.
Solution Architect - Analytics
IBM
02.2015 - 11.2019
- Architected enterprise-scale analytics frameworks on Big Data Lake architectures integrating Cognos, Power BI, and ELK Stack, enabling global procurement teams to consolidate insights from over 30+ regional data sources into unified dashboards.
- Delivered AI-driven analytics solutions leveraging IBM Watson, improving decision-making accuracy by 20% through predictive spend analytics, supplier risk modelling, and cognitive insights.
- Integrated analytics into DevOps pipelines using Docker, Kubernetes, and Jenkins, implementing CI/CD workflows for faster model deployment and increased system resilience.
- Led proof-of-concepts (PoCs) for data quality automation, intelligent profiling, and mobile analytics delivery-reducing data onboarding time by 40% and influencing the enterprise analytics roadmap.
- Defined data ingestion, modelling, and visualization standards in collaboration with engineering, business, and product teams, improving data consistency, governance, and auditability across platforms.
- Spearheaded the transition from legacy reporting systems to a modernized analytics ecosystem, establishing data architecture blueprints and reusable frameworks supporting both real-time and batch analytics workloads.
- Provided technical leadership and mentorship to global data engineering teams, promoting best practices in pipeline orchestration, cloud migration, and data observability.
Business Intelligence Architect
IBM Cognos / IBM
10.2013 - 02.2015
- Led design, implementation, and support of the IBM Cognos product portfolio for diverse global clients, acting as the primary anchor for multiple delivery teams and coordinating efforts across time zones within a Global Delivery Model.
- Delivered end-to-end Business Intelligence (BI) solutions, including system and data analysis, application design, dimensional and data modelling, documentation, and end-user training to ensure successful adoption.
- Provided firsthand expertise in data warehouse architecture, ETL processes, and dashboard/report development, ensuring scalable and high-performance analytics platforms.
- Successfully executed projects across multiple domains, including: Healthcare - Deployment of Analytics framework for Clinical Trial Management, Supply Chain - Supplier and Spend Analytics for operational efficiency, Telecommunications - Delivered customer usage and churn analytics solutions, IT Services - Built performance management and resource utilization Analytics Platform, Natural Resources - Developed Supply chain and Predictive asset management Platform.
- Fostered collaboration between global teams and business stakeholders, driving consistent delivery quality and alignment with evolving client requirements.
System Scientist
IBM
04.2012 - 09.2013
- Led development and system-level analysis of customer-centric scenarios for IBM Analytics products, ensuring robust product performance and alignment with real-world use cases.
- Designed and implemented end-to-end scenarios addressing complex customer challenges, validating functionality and reliability from a system verification perspective.
- Collaborated closely with customers to understand analytics requirements and business use cases, providing critical feedback to shape and optimize IBM's Business Analytics product suite.
- Contributed to product enhancement by translating customer insights into actionable product improvements, driving better alignment with market needs, and increasing customer satisfaction.
- Supported cross-functional teams in product validation, quality assurance, and requirements refinement, enabling successful delivery of analytics solutions tailored to diverse industries.
Software Engineer
IBM
07.2008 - 05.2012
- Contributed to delivery and quality assurance of IBM Cognos BI releases, focusing on regression testing for fix packs to ensure product stability and performance.
- Designed, developed, and executed automated test frameworks, significantly improving testing efficiency and coverage.
- Collaborated with cross-functional teams to identify defects, validate fixes, and support continuous integration efforts in the Cognos development lifecycle.
- Enhanced test automation strategies, reducing manual testing efforts and accelerating release cycles for multiple Cognos versions.
Education
Master of Science - undefined
Savitribai Phule Pune University
01.2008
Bachelor of Science - undefined
Savitribai Phule Pune University
01.2006
Skills
- Healthcare
- Supply Chain
- Telecom
- IT Services
- Natural Resources
- Enterprise Data & AI Architecture
- Enterprise Data & AI Strategy Development
- Target-State Architecture & Roadmaps
- Analytics Center of Excellence (CoE) Design
- Data Governance
- Metadata
- Master Data Management
- AI Transformation
- Enterprise Enablement
- Advanced Analytics
- Cloud Engineering
- Generative AI
- LLM Solution Architecture
- NLP
- Conversational AI Systems
- Multi-Cloud Data Platforms
- AWS
- Azure
- GCP
- Scalable Data Pipeline Orchestration
- Airflow
- Snowflake
- API-First Integration
- Real-Time Data Interoperability
- Solution Delivery
- Technical Governance
- End-to-End Solution Architecture
- DataOps
- MLOps Framework Implementation
- Architectural Governance
- Design Reviews
- Performance Optimization
- Scalability Optimization
- Security Optimization
- Data Productization
- Analytics Modernization Initiatives
- Leadership
- Stakeholder Enablement
- Cross-Functional Collaboration
- Technical Mentorship
- Team Enablement
- Executive Communication
- Strategic Advisory
- Fostering Data-Driven Culture
- Innovation
- Industry Thought Leadership
- Public Speaking
Certification
- IBM Certified Solution Architect
- IBM Certified Solution Expert - Cognos BI
- SAFe Agilist (SA), 2016
- PRINCE2, 2016
- Certified Scrum Master, 2016
Activities
- Getting Started with Data Warehousing / Contributor, DB2 on Campus Book
- Visiting Faculty / Interdisciplinary School of Scientific Computing, Savitribai Phule Pune University, Pune, IN
- Awards and Recognitions / Bravo Awards- IBM, Eminence & Excellence Award-IBM, Employee of the Year (2024) - IQVIA(WhizAI), Exemplary Teamwork Awards (2020 & 2024) - IQVIA(WhizAI)
Skills
Healthcare, Supply Chain, Telecom, IT Services, Natural Resources, Enterprise Data & AI Strategy Development, Target-State Architecture & Roadmaps, Analytics Center of Excellence (CoE) Design, Data Governance, Metadata, and Master Data Management, AI Transformation and Enterprise Enablement, Generative AI & LLM Solution Architecture, NLP and Conversational AI Systems, Multi-Cloud Data Platforms (AWS, Azure, GCP), Scalable Data Pipeline Orchestration (Airflow, Snowflake), API-First Integration and Real-Time Data Interoperability, End-to-End Solution Architecture and Delivery, DataOps and MLOps Framework Implementation, Architectural Governance and Design Reviews, Performance, Scalability, and Security Optimization, Data Productization and Analytics Modernization Initiatives, Cross-Functional Collaboration (Business, IT, Data Science), Technical Mentorship and Team Enablement, Executive Communication and Strategic Advisory, Fostering Data-Driven Culture and Innovation, Industry Thought Leadership and Public Speaking
Timeline
Staff Architect - Analytics
IQVIA
11.2019 - Current
Solution Architect - Analytics
IBM
02.2015 - 11.2019
Business Intelligence Architect
IBM Cognos / IBM
10.2013 - 02.2015
System Scientist
IBM
04.2012 - 09.2013
Software Engineer
IBM
07.2008 - 05.2012
Master of Science - undefined
Savitribai Phule Pune University
Bachelor of Science - undefined
Savitribai Phule Pune University