Ritesh Kumar Singh

CEO

Gurugram, Haryana, India20 yrs 6 mos experience
Highly StableAI Enabled

Key Highlights

  • Led global data transformations across multiple industries.
  • Achieved significant cost reductions through cloud modernization.
  • Recognized for leadership in data modernization and governance.
Stackforce AI infers this person is a Data and AI transformation leader in enterprise environments.

Contact

Skills

Core Skills

Data ManagementData WarehousingData EngineeringData ScienceGenaiDataopsData WarehouseData GovernanceData ModernizationPre-salesBusiness Intelligence

Other Skills

AWSAWS GlueAccount ManagementAd Hoc ReportingAgile MethodologiesAlteryx BI + Visualization SolutionsAmazon Web Services (AWS)Analytical SkillsAnalyticsAnalytics ecosystemsAnalytics platformsApache AirflowArchitectureAutomationAzure

About

I am a Global Data, Analytics & AI leader with 20+ years of experience helping enterprises turn data into a measurable competitive advantage. My work sits at the intersection of business strategy, modern data platforms, and AI (including GenAI)—where real value is created. I’ve led global transformations across BFSI, Healthcare, Retail, Travel & Hospitality, partnering closely with CXOs to drive cost efficiency, revenue uplift, productivity gains, and risk reduction. What I’m known for: Building and scaling Global Data & AI Centers of Excellence (80+ engineers, data scientists,AI architects) Owning practice strategy, GTM, and P&L in consulting and enterprise environments Modernizing legacy estates into cloud-native lakehouse and real-time analytics platforms Translating AI & GenAI from hype into production-grade, governed, ROI-backed solutions Advising leaders on data monetization, operating models, and AI-first roadmaps Business impact highlights: 40% reduction in data platform TCO through cloud modernization 25–40% improvement in engineering productivity via DataOps & automation 15%+ revenue uplift using real-time insights and personalization 40% MTTR reduction through AI-driven observability and RCA Areas of focus: Data Engineering | Advanced Analytics | AI/ML | GenAI | Lakehouse | Data Mesh | Streaming | BI & Insights | Data Governance I currently lead a global Data & Analytics practice, shaping strategy, building high-performing teams, launching AI powered accelerators, and partnering with sales and industry leaders on large-scale transformation programs. I’m passionate about responsible AI, strong engineering culture, and aligning technology decisions with business outcomes. - Always open to conversations on: Enterprise data & AI transformation Building and scaling data practices AI & GenAI adoption at scale Executive advisory and strategic partnerships

Experience

20 yrs 6 mos
Total Experience
3 yrs 3 mos
Average Tenure
10 mos
Current Experience

Coforge

Vice President , Global Head – Data & Analytics Practice

Aug 2025Present · 10 mos · Greater Delhi Area · On-site

Data ManagementData WarehousingAccount ManagementProject DeliveryRequest for Proposal (RFP)RFP Design+13

Material

Associate Director & Senior Technical Architect

Jun 2023Jul 2025 · 2 yrs 1 mo · Gurugram, Haryana, India · Hybrid

  • Partnered with Senior leadership to create and scale the Data Engineering & Science Practice, seamlessly integrating the analytics and consulting teams of Material+ with the technical engineering experts of Srijan Technologies to form a unified, AI-driven Data & Analytics business unit.
  • Accountable for P&L ownership, revenue growth, and delivery excellence, driving enterprise data transformation programs across BFSI, Retail, and Healthcare.
  • Architected a modern multi-cloud Data Lakehouse leveraging AWS, Azure, Databricks, Snowflake, and Microsoft Fabric to power cross-domain analytics and AI workloads.
  • Unified two distinct organizational cultures (consulting + engineering) under a single GTM, operating, and delivery framework—unlocking synergy, scale, and predictable value realization.
  • Designed and operationalized DataOps and LLMOps frameworks with CI/CD, observability, automated testing, and lineage tracking—reducing release time by 35%.
  • Developed GenAI-powered accelerators including:
  • DataOps Copilot (Kafka + LLM) for autonomous pipeline diagnostics and resolution.
  • Finance Copilot enabling CFOs to query financial data via natural language.
  • Scaled the practice to 100+ members—Consultants, Solution Architects, Engineers, Scientists, and Data & AI Architects—
  • Partnered with US leadership to co-develop GTM strategy and CoE innovation roadmaps.
  • Collaborated with Pre-Sales, Sales, and Client Partners to accelerate RFPs, RFIs, and POVs, ensuring faster, reliable, and insight-driven solutioning.
  • Key Results:
  • Achieved 3× revenue growth and double-digit profit margins within 18 months.
  • Delivered 25% TCO reduction through AWS optimization and workload automation.
  • Realized 40% faster analytics delivery and 35% higher data reliability.
Data EngineeringData ScienceP&L ownershipRevenue growthDelivery excellenceData Lakehouse+10

Mckinsey & company

3 roles

Enterprise Data Architect - Data Engineering and Analytics

Promoted

May 2019Apr 2023 · 3 yrs 11 mos · On-site

  • Promoted to Enterprise Data & AI Architect responsible for designing, modernizing, and governing McKinsey’s global Data Warehouse and BI ecosystem to transition the firm’s data ecosystem from on-prem Oracle EDW & Data Hub to AWS - Snowflake based cloud architecture with DataOps,Data Governance and automation-first delivery.
  • Led migration from Oracle EDW to Snowflake on AWS, enabling real-time analytics through Glue, Kinesis, and Kafka pipelines.
  • Designed data governance, lineage, and quality frameworks aligned with HIPAA and GDPR standards.
  • Introduced DataOps and CI/CD frameworks, including automated regression testing and one-click deployment pipelines, reducing release time by 40%.
  • Modernized the Finance FP&A and People reporting systems, improving accuracy and insights through advanced analytics.
  • Partnered with QuantumBlack to embed ML and GenAI capabilities in data pipelines and analytics workflows.
  • Provided strategic consulting to McKinsey and its clients on data modernization, maturity assessment, and data monetization strategies.
  • Key Results:
  • Delivered 35% improvement in data quality and 25–30% cost efficiency through modernization.
  • Enabled real-time insights via streaming and AI-driven data pipelines.- Established firm-wide DataOps & Governance models adopted globally.
  • Recognized with McKinsey Global Excellence Award (2022) for leadership in Data Modernization & Governance.
Data WarehouseBI ecosystemAWSSnowflakeDataOpsData Governance+3

Software Architect - Data & Analytics Consultant

Promoted

Jul 2017Aug 2019 · 2 yrs 1 mo · On-site

  • Provided strategic consulting to McKinsey Clients on data modernization, maturity assessment, and data monetization strategies along with its subsidiary Quantum Black.
Data modernizationMaturity assessmentData monetizationMLGenAI

Senior Technical Lead - Data Warehouse & Business Intelligence

Feb 2015Jun 2017 · 2 yrs 4 mos · On-site

  • Architected the global EDW and reporting ecosystem, integrating data from Finance, People, and Engagement domains.
Data WarehouseReporting ecosystemIntegrationAnalytics

Oracle

Senior Technical Pre Sales Consultant - Business intelligence

Nov 2013Feb 2015 · 1 yr 3 mos · Noida Area, India · Hybrid

  • 💼 Pre-Sales Senior Technical Consultant
  • As part of Oracle’s Enterprise Analytics and Cloud Solutions group, I led pre-sales architecture, solution consulting, and client enablement for Oracle BI, Data Warehouse, and Cloud Analytics offerings. I collaborated with CXOs, enterprise architects, and IT leaders to design high-performance, scalable analytics ecosystems supporting digital transformation across BFSI, Manufacturing, and Public Sector clients.
  • 🔹 Key Highlights
  • Owned RFPs, RFIs, and RFQs, delivering solution blueprints, architecture responses, and technical presentations tailored to client needs.
  • Led Proofs of Concept (PoCs) and Proofs of Value (PoVs) demonstrating Oracle BI, Exadata, and Exalytics performance, scalability, and cost advantages.
  • Designed end-to-end Oracle Analytics architectures, integrating ERP (E-Business Suite, PeopleSoft), CRM, and data warehouse systems for unified decision intelligence.
  • Built pre-sales accelerators and reusable solution templates for Big Data, IoT, and AI-enabled analytics, reducing proposal turnaround by 30%.
  • Partnered with sales teams to develop business cases and ROI models, influencing multiple multimillion-dollar analytics transformation wins.
  • Evangelized Oracle BI Cloud Service (BICS) and Mobile BI, driving early cloud adoption and self-service analytics adoption across enterprise clients.
  • 💡 Achievements
  • Played a key role in winning several high-value enterprise analytics deals by aligning technical solutions with client strategy.
  • Drove BI initiatives for CFO and CXO offices, improving insight delivery and decision velocity.
  • Contributed to joint Oracle–Deloitte go-to-market strategies, strengthening ecosystem partnerships in analytics and data integration.
  • Tech Stack: Oracle Business Intelligence Application |OBIEE | BI Publisher | Oracle Exadata | Exalytics | Oracle Cloud BI | ODI | SQL | PL/SQL | Big Data | IoT | Data Warehousing | Pre-Sales | RFP/RFI | PoC | PoV
Pre-salesArchitectureSolution consultingClient enablementAnalytics ecosystems

Ibm india pvt ltd

Senior Consultant OBIEE

Oct 2010Nov 2013 · 3 yrs 1 mo · Noida, Uttar Pradesh, India · On-site

  • 💼 Senior BI Consultant
  • As a Senior BI Consultant within IBM’s Global Business Services unit, I delivered large-scale Business Intelligence and Data Warehouse solutions for global enterprises. My focus was on architecting OBIEE-based analytics platforms integrated with Oracle ERP systems to provide unified, real-time insights across Finance, Supply Chain, and Asset Management functions.
  • 🔹 Key Highlights
  • Designed and implemented enterprise BI and Data Warehouse solutions supporting Financials, Supply Chain, and Asset Management reporting, improving reporting performance by 40%.
  • Developed OBIEE dashboards, reports, and metadata models (RPD) to deliver actionable KPIs and trend insights for CXO and operational users.
  • Integrated PeopleSoft and OBIEE, embedding real-time KPI dashboards directly into enterprise portals, improving visibility and decision agility.
  • Built and optimized ETL pipelines and data marts to support scalable, high-volume reporting with 35% faster data refresh rates.
  • Enhanced management reporting frameworks, enabling faster insights and increasing business teams’ data-driven decision-making by 30%.
  • Collaborated with global clients to define analytics strategy, design architecture, and enable BI governance across distributed teams.
  • Provided technical leadership and mentoring for junior developers on OBIEE, ETL, and SQL optimization best practices.
  • 💡 Achievements
  • Delivered multiple BI transformations that reduced manual reporting time and improved accuracy.
  • Recognized by client leadership for proactive analytics modernization and system optimization efforts.
  • Improved cross-system data reliability and accessibility, enhancing user confidence and adoption.
  • Tech Stack: Oracle OBIEE | BI Publisher | Informatica | ODI | Oracle Database | SQL/PLSQL | PeopleSoft | Oracle ERP | Data Modeling | Performance Tuning | ETL Optimization
Business IntelligenceData Warehouse solutionsAnalytics platforms

Deloitte consulting

Oracle Business Intelligence Consultant

Nov 2009Oct 2010 · 11 mos · Hyderabad, Telangana, India · On-site

  • Data Warehouse, Integration & BI Consultant | Deloitte Consulting
  • As part of Deloitte’s Technology Consulting practice, I delivered enterprise-scale Data Warehouse and Business Intelligence solutions for global clients across BFSI, Retail, and Manufacturing. My role spanned data integration, BI architecture, and client advisory, driving insight-led transformation through Oracle’s data stack.
  • 🔹 Highlights
  • Partnered with business and IT stakeholders to define KPIs and translate analytical needs into scalable data and BI solutions.
  • Designed and developed ETL workflows using Oracle Data Integrator (ODI) and Informatica, integrating ERP, CRM, and legacy systems into a centralized data warehouse.
  • Built dimensional data models (Star/Snowflake) and OBIEE RPD layers (Physical, BMM, Presentation) to standardize enterprise reporting and enable self-service analytics.
  • Developed interactive dashboards and pixel-perfect reports in OBIEE and BI Publisher, delivering real-time insights for executive and operational decision-making.
  • Optimized ETL and BI performance, improving data refresh and dashboard response times by 30–40%.
  • Implemented data validation and governance controls, ensuring accuracy and consistency of KPIs across business functions.
  • Supported the full project lifecycle—requirements, design, build, testing, deployment, and user enablement—across onshore and offshore delivery models.
  • Conducted user training and knowledge transfer sessions, enhancing adoption of BI tools and self-service capabilities.
  • 💡 Achievements
  • Delivered a unified enterprise data warehouse reducing manual reporting by 35%.
  • Enabled faster decision-making with real-time KPIs for finance and operations.
  • Improved data reliability and reporting turnaround through optimized ETL and BI architecture.
  • Tech Stack: OBIEE 11g/12c | Oracle BI Publisher | ODI | Informatica | Oracle DB | SQL/PLSQL | WebLogic | Data
Business IntelligenceData Warehouse solutionsAnalytics platforms

Satyam computer services ltd

Senior Business Intelligence & ETL Developer

Aug 2005Nov 2009 · 4 yrs 3 mos · Hyderabad, Telangana, India · On-site

  • As an Oracle BI and Data Integration consultant, I designed and delivered end-to-end business intelligence and data warehouse solutions that empowered organizations to make faster, data-driven decisions. I worked across the full BI lifecycle — from data extraction and modeling to dashboard design and performance optimization — ensuring high data accuracy, scalability, and usability for business users.
  • 🔹 Key Responsibilities & Achievements
  • Partnered with business and technical stakeholders to analyze reporting requirements and translate them into scalable BI and ETL solutions.
  • Designed and developed OBIEE RPD models (Physical, BMM, and Presentation layers) ensuring consistent, reusable, and business-friendly data representation.
  • Built interactive dashboards, ad-hoc reports, and visual KPIs using OBIEE Answers and BI Publisher to enable executive decision-making across sales, finance, and operations.
  • Developed and optimized ETL workflows using Oracle Data Integrator (ODI) and Informatica to extract, transform, and load data from multiple source systems (ERP, CRM, and custom databases).
  • Created star and snowflake schemas for dimensional modeling, improving query performance and simplifying report creation.
  • Implemented row-level and object-level security within OBIEE and managed access through WebLogic/Fusion Middleware for data governance compliance.
  • Performed SQL query tuning, aggregate creation, and BI server cache management to enhance dashboard response time and system efficiency.
  • 💡 Impact
  • Delivered BI solutions that reduced manual reporting time by 40% and improved executive visibility into KPIs.
  • Optimized ETL pipelines leading to a 30% improvement in data refresh performance and higher data reliability.
  • 🧰 Tech Stack
  • OBIEE 11g/12c | Oracle BI Publisher | Oracle Data Integrator (ODI) | Informatica | Oracle Database | SQL/PLSQL | WebLogic | Fusion Middleware | Data Modeling (Star/Snowflake) | Performance Tuning
Data WarehouseIntegrationBI architecture

Education

Guru Gobind Singh Indraprastha University

B.Tech — IT

Jan 2001Jan 2005

ASN Senior Secondary School - India

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