Naveen Narra

CTO

Hyderabad, Telangana, India27 yrs 5 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Over 20 years of experience in technology leadership.
  • Expert in AI and data-driven digital transformation.
  • Proven track record of delivering enterprise-scale solutions.
Stackforce AI infers this person is a technology executive specializing in AI-driven digital transformation across various industries.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Data EngineeringData GovernanceProduct EngineeringMachine LearningData ManagementEnterprise ArchitectureData AnalyticsPredictive AnalyticsBusiness Intelligence (bi)

Other Skills

Agile MethodologiesAlgorithmsAmazon Web Services (AWS)AngularJSBig DataCIOCOE DevelopmentContinuous Integration and Continuous Delivery (CI/CD)Data ArchitectureData IntegrationData MiningData PipelinesData ScienceData StrategiesData Visualization

About

Naveen Narra is a seasoned technology executive with more than two decades of global leadership experience driving enterprise-wide digital transformation through software engineering, data, and artificial intelligence. He specializes in architecting intelligent, secure, and high-performing technology platforms that accelerate business growth and innovation at scale. Throughout his career at Microsoft, TE Connectivity, Duke Energy, and Brane Enterprises, Naveen has led large-scale engineering and transformation initiatives that integrate software craftsmanship with data-driven intelligence. He is widely recognized for his ability to bridge strategic business objectives with technical execution, consistently delivering measurable impact in productivity, operational excellence, and customer experience. Naveen’s areas of expertise include enterprise software architecture, platform modernization, master data management (MDM), data governance, analytics enablement, AI/ML and Generative AI innovation. He has architected and deployed scalable platforms that enhance data quality, automate mission-critical workflows, and enable next-generation digital solutions — including advanced LLMs, agentic AI, and GenAI-powered applications. A strong advocate of engineering excellence, Naveen embeds modern DevOps, CI/CD, and agile practices to improve reliability, velocity, and quality across distributed global teams. His leadership philosophy emphasizes empowering talent, fostering cross-functional collaboration, and cultivating a culture of innovation, accountability, and continuous improvement. Combining strategic foresight with deep technical expertise, Naveen defines enterprise technology strategies, designs modernization roadmaps, and leads transformation programs that drive tangible business value. He is passionate about advancing the convergence of software engineering and AI, enabling organizations to evolve from data-rich to truly intelligent enterprises.

Experience

27 yrs 5 mos
Total Experience
3 yrs 11 mos
Average Tenure
4 yrs 5 mos
Current Experience

Microsoft

Head of Software Engineering Data & AI

Jan 2022Present · 4 yrs 5 mos · Greater Hyderabad Area · Hybrid

  • As a strategic technology site leader for Microsoft Digital Engineering, I lead enterprise-scale initiatives across Software Engineering, Data Management, Analytics, and AI—delivering transformative platforms and solutions that accelerate business outcomes.
  • Established a centralized Technology Center of Excellence to drive innovation, standardization, and governance for AI and analytics programs.
  • Defined and rolled out Reference Architectures and Technology Standards, ensuring secure, scalable, and cost-efficient AI-powered platforms, data solutions, and integration frameworks.
  • Shaped the product portfolio roadmap for core data capabilities—including MDM, Data Lake, Data Quality, and GenAI Co-Pilots—instilling clarity, alignment, and a growth mindset across global teams.
  • Led platform modernization efforts, improving data quality by 20% and performance by 4×, while strengthening governance, automation, and data visualization.
  • Delivered enterprise AI solutions using LLMs, RAG, and GenAI, including Co-Pilots and Agentic AI systems that automated workflows and drove 40% process efficiency.
  • Drove CI/CD adoption for scalable AI/ML model operations and engineering excellence.
  • Championed Power BI dashboards and business reviews to align IT delivery with strategic objectives.
  • Oversaw financial planning, resource allocation, and cross-functional partnerships, optimizing value delivery and operational performance.
  • Recognized for leadership excellence, receiving multiple Rockstar Awards in the One Microsoft and Customer Obsessed categories.
  • Mentored and developed world-class technical and engineering leaders, fostering a high-performing, inclusive, and globally connected team culture.
Agile MethodologiesStrategic LeadershipPeople DevelopmentArtificial Intelligence (AI)Strategic ThinkingPyTorch+22

Brane enterprises pvt ltd

Head - Intelligent AI & Data Platform

Jan 2018Jan 2022 · 4 yrs · Greater Hyderabad Area

  • Knowledge Crystals/Brane Enterprises is a SAAS based product development organization which has developed the NSLHUB iBPMS Product Platform
  • Define product vision, create preliminary design concepts and shape overall technology and product roadmap, collaborating with business stakeholders, business development and marketing team
  • Manage Product Engineering and Product Management functions including people management , performance, accountability and go-to-market approach for the ML , Analytics & Data Platform
  • Drive New Innovation Opportunities through Vision, Strategy and Technology Roadmap, by creating new organizational capabilities for both technology and people through Agile Software Development
  • Oversee the evolution of our AI systems, evaluating AI models and inferences, and carrying out all data science , analytics, data insights & Engineering functions for the machine learning product platform
  • Oversee product development of AI/ML/NLP/Big Data / BI Product Portfolio for Solution Personalization (Recommender System), Interactive Assistant, Image Processing leveraging Deep Learning Techniques including development of Natural Language Inference Engine, Analytics Engine, Actionable Insights, Semantic Search, Feedback Loop, Predictive Analytics and Voice Products
  • Implemented data pipeline from data ingestion, data cleansing, data curation, feature extraction to fully automated data engineering capability Hadoop, Hive, Spark, Kafka, Airflow, HUDI, Lamba Architecture, Python, based Data lake
  • Ensure CI/CD Pipeline , Github Release Management, Jenkins Pipeline Automation , Program Management, Stakeholder Engagement, Agile SDLC , Restful Web Services, Microservices and Delivery Excellence best practices are implemented for the Product Portfolio
Agile MethodologiesArtificial Intelligence (AI)Predictive AnalyticsStrategic ThinkingPyTorchProblem Solving+15

Te connectivity / tyco electronics

Global Director- BI Analytics Apps , ML Data Governance & Architecture

Jan 2012Jan 2017 · 5 yrs · Harrisburg, Pennsylvania Area

  • TE Connectivity (formerly Tyco Electronics) is a $16 billion global electronics product manufacturer for leading industries including automotive, energy, industrial, broadband communications, consumer devices, healthcare, oil, gas and marine, aerospace and defense
  • Strategic Leadership & Data Platform Transformation
  • Led the vision, strategy, and roadmap for the global enterprise data platform, collaborating with senior data, governance, and technology leaders across data integration, lakes, warehousing, and access layers.
  • Drove cross-functional initiatives spanning customer 360°, churn analysis, segmentation, pricing optimization, digital manufacturing, supply chain, and logistics—impacting multiple business verticals.
  • Business Impact & Innovation
  • Reduced inventory by 7% and saved $58M in manufacturing costs by reducing data fragmentation and optimizing precious metal inputs using predictive models.
  • Cut planning and budgeting process time by 60% through the deployment of SAP HANA, BPC, MDM, and an enterprise data hub (Hadoop/Hive/HBase/Spark).
  • Team & Program Leadership
  • Built and led high-performing global teams across analytics, data engineering, MDM, data governance, and architecture.
  • Governance, Architecture & Self-Service Analytics
  • Rolled out enterprise-wide data governance, data quality, and metadata management strategies, enabling self-service analytics and maintaining a single source of truth across systems.
  • Implemented reference master data standardization, data lineage, and integration best practices (ETL/ELT) to promote data reliability and accessibility.
  • Recognition & Industry Influence
  • Three-time recipient of TE’s Innovation Award for data strategy and analytics excellence.
  • Represented TE at SAP Sapphire, global webinars, and industry conferences, showcasing leading analytics and data science methodologies.
Data ManagementArtificial Intelligence (AI)High Performance TeamsStrategic ThinkingData VisualizationData Architecture+16

Duke energy corporation

Head of Smartgrid Data Analytics & Enterprise Architecture

Jan 2008Jan 2012 · 4 yrs · Raleigh-Durham, North Carolina Area

  • Duke Energy is one of the largest energy companies in the world ($25 billion Revenue), which engages in the generation, transmission, distribution, and sale of power utilizing coal, hydroelectric, natural gas, and nuclear power to manufacture electricity
  • Led Smartgrid data analytics strategy, created Industry leading innovative approach for Smartgrid IOT, achieved ROI by Smart Grid data analytics, business intelligence & pattern recognition .
  • Utilized Statistical Analysis, Big Data, IoT Devices, Mobile Device Portability Apps, Business Analytics, Predictive Analytics and DW technologies for Smart Grid Initiative related project portfolios
  • Delivered over $44 million in capital investment opportunity improvement in first year, presented case at Smartgrid Industry Consortium.
  • Key Contributor, NIST IEC 61850 Information Exchange Industry Standard Development for Communication between smart devices (IOT) across multiple platforms
  • Responsible for review and oversight of Smartgrid program & EA (TOGAF) with an emphasis on Data Governance, Data Quality, Data Standards, Strategic Reference and Data Repositories/Data Warehouses, Master Data Management, and accompanying reporting metrics across all business units
  • Work with the Project Management Organization (PMO) to support the Governance process that help ensure Business IT initiatives comply with the defined Reference Architecture, Standards, Strategies and Roadmaps.
Artificial Intelligence (AI)Web ServicesEnterprise ArchitectureData ArchitectureProblem SolvingExtract, Transform, Load (ETL)+5

Blue cross blue shield of nc

Enterprise Architect

Jan 2004Jan 2008 · 4 yrs · Raleigh-Durham, North Carolina Area

  • Developed Strategy &Architecture for the Next Generation Analytics Platform for the EDW across multiple business functions
  • Led CRM Platform Architecture, resulting in over $20 million savings through system consolidation and call center efficiencies
  • Led Implementation of Healthcare Fraud Detection Platform leveraging predictive analytics resulting in savings of over $10 million in the first year
  • Developed the Enterprise Architecture Reference Architecture, Standards, Roadmaps and Business Technology Planning Improvements
  • Provided Data Modeling expertise with relational (entity relationship diagrams), object-oriented data models (UML) and dimensional (star schema) modeling techniques
  • Provided Information Architecture for the architecture for the data warehouse, including all information structures (i.e., staging area, data warehouse, data marts, master data &reference data and operation data stores).
Data Warehouse ArchitectureSAP BusinessObjectsEnterprise ArchitectureData ArchitectureProblem SolvingEnterprise Resource Planning (ERP)+5

At&t

Data Architect

Jan 1999Jan 2004 · 5 yrs · United States

  • Led data architecture for the “3G Fraud Management System” and “Marketing and Business Security Data Warehouse” apps to support next generation wireless technology including Wireless Internet, M-commerce, E-Wallet, E-Cash, through devices like PDA’s, Laptops, and Phones using a single SIM Card
Data EngineeringProblem SolvingBusiness Intelligence (BI)

Merck & co.

Programming Analyst

Jan 1998Jan 1999 · 1 yr · United States · On-site

Education

Pfeiffer University

MBA — North Carolina

Jan 2005Jan 2007

University of Madras

Bachelors in Engineering — Computer Science

Jan 1993Jan 1997

Stackforce found 100+ more professionals with Artificial Intelligence (ai) & Data Engineering

Explore similar profiles based on matching skills and experience