Prashant Nair

Product Manager

Bengaluru, Karnataka, India13 yrs 11 mos experience

Highly StableAI Enabled

Key Highlights

Expert in building scalable data platforms.
Led product strategy for data governance at Uber.
Pioneered decentralized data governance at Visa.

Stackforce AI infers this person is a SaaS Product Manager with expertise in Data Governance and AI Platforms.

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Skills

Core Skills

Product ManagementData GovernanceMachine LearningBig Data EngineeringWeb Development

Other Skills

Access ControlsAnalyticsApache AtlasApache KafkaApache SparkArtificial Intelligence (AI)Big DataBig Data TechnologiesBusiness-to-Business (B2B)C#Cross-functional Team LeadershipCross-team CollaborationDAG-based WorkflowsData CatalogingData Discovery

About

As a Product Manager specializing in Data and AI Platforms, I bring a rare blend of hands-on technical experience and strategic product leadership. Starting my career as a web developer and big data engineer, I developed a strong technical foundation that now powers my mission: to build intuitive, scalable, and resilient data platforms that empower teams and unlock business value. At Uber, I lead the product strategy for Databook, our internal data catalog and governance platform, and am spearheading the inception of Data Mesh across the company. I focus on building core capabilities in data discovery, governance, metadata management, and data quality—enabling decentralized teams to produce and consume trusted data at scale. Previously at Visa, I led decentralized platform governance initiatives, making data capabilities like cataloging, lifecycle management, and observability accessible to non-technical users. At American Express, I drove the development of a self-serve MLOps platform, simplifying the end-to-end ML lifecycle with intuitive, DAG-based workflows. With a user-first mindset, I aim to bridge technical complexity and usability—launching AI-assisted tools, streamlining workflows, and driving adoption through thoughtful incentives. I specialize in modern data governance, and I'm passionate about building products that scale with both trust and innovation at their core.

Experience

Uber

Senior Product Manager

Dec 2024 – Present · 1 yr 3 mos · Bengaluru, Karnataka, India · Hybrid

I lead the product strategy for Databook, Uber’s internal data catalog and governance platform, and am driving the inception and rollout of Data Mesh across the organization. My work focuses on building foundational capabilities in data discovery, governance, metadata management, and data quality signals—empowering teams to own and trust their data at scale.
I collaborate closely with platform engineering and data teams to deliver AI-powered features like lineage, trust indicators, and automated metadata enrichment, with a strong focus on usability, scalability, and adoption. I specialize in designing governance platforms that support decentralized data practices in modern, data-driven organizations.

Data GovernanceData DiscoveryMetadata ManagementData QualityProduct Management

Visa

Technical Product Manager- Data & AI Platforms

Sep 2022 – Dec 2024 · 2 yrs 3 mos · Bengaluru, Karnataka, India · Hybrid

 Decentralized Platform Governance: Spearheaded the decentralization of platform governance activities by introducing a decentralized storage quota management capability. Empowered non-technical use-case owners to independently manage their storage consumption within defined limits, fostering autonomy and efficiency. Delivered showback reports, observability tools, and comprehensive dashboards to support data-driven decision-making.
 Enhanced Data Governance Capabilities: Strengthened Visa’s data governance framework by aligning with prioritized business initiatives. Incrementally built essential capabilities—including data cataloging, data quality management, access controls, and data lifecycle management—that effectively serve targeted initiatives while retaining the scalability to accommodate broader future needs.
 User Accountability and Engagement: Elevated user accountability and engagement by incentivizing good platform behaviors through gamification and tailored user-persona adaptation strategies. Reward systems were designed to recognize and encourage positive user conduct, driving deeper platform engagement and fostering a culture of responsibility.
 AI-Powered Developer Assistance: Rolled out a Generative AI-enabled assistant to provide instant support for platform users, significantly enhancing developer experience and reducing time-to-resolution for queries and tasks.

Decentralized Platform GovernanceData CatalogingData Quality ManagementAccess ControlsData Lifecycle ManagementGamification+3

American express

2 roles

Sr. Manager

Aug 2021 – Sep 2022 · 1 yr 1 mo

Improved Machine Learning Operations Experience and Efficiency
 Owned Self-Serve ML Operations Platform: Spearheaded the design and development of a self-serve platform product for Machine Learning Operations, enhancing the efficiency and experience of ML model development for users across the organization.
 Innovative DAG-Based User Experience: Conceptualized and implemented a Directed Acyclic Graph (DAG)-based user interface, leveraging modular building blocks and pre-defined templates for popular ML pipelines. This intuitive approach simplified the creation and management of complex ML workflows.
 Comprehensive ML Lifecycle Management: Enabled seamless model training, deployment, governance, execution, monitoring, and auto-retraining for batch and select real-time use cases. Delivered a unified, single-pane interface that streamlined ML operations, boosting productivity and ensuring robust model lifecycle governance.
 Led a diverse team of five members, including Product Analysts, Product Owners and UX Designers.
 Earned the SAFe® 5 Product Manager certification, further enhancing my proficiency in product management.

Machine Learning OperationsDAG-based WorkflowsModel Lifecycle ManagementProduct ManagementMachine Learning

Manager

Jun 2019 – Jul 2021 · 2 yrs 1 mo

Product manager of ML model scoring platform for RT and Streaming use-cases

Cognizant

2 roles

Big Data Engineer

Aug 2017 – May 2019 · 1 yr 9 mos

Development of GxP compliant reusable framework to be used in a no. of projects with Data Governance using Apache Atlas.
Used Scala, Sqoop, Shell scripting for the development of Ingestion framework on Hortonworks data platform.
Used Spark and Hive for data transformations.
Experience in designing and capturing metadata for all data pipelines using Apache Atlas.
Development of workflows using Oozie.

Data GovernanceApache AtlasScalaSparkHiveBig Data Engineering

Technical Lead : Big Data

Mar 2016 – Jul 2017 · 1 yr 4 mos

Translate complex functional requirements into detailed design and integrate Big Data tools and frameworks required to provide those capabilities
Developed REST API using Spring MVC which consumes data from HBase NoSQL DB
Perform analysis on Customer data to uncover insights using Hive and MapReduce
Fine tune applications for high performance and advise necessary infrastructure changes
Build distributed, reliable and scalable data pipelines to process data in real-time using Spark
Development of Job workflows using Spring-Batch and shell scripting

REST API DevelopmentHBaseSparkMapReduceBig Data Engineering

Tata consultancy services

2 roles

IT Analyst : Hadoop Developer

Promoted

Jan 2015 – Mar 2016 · 1 yr 2 mos · New Delhi Area, India

Worked with the Pre-sales team of Government Solutions Unit, providing technical support in Hadoop related technologies and Web Application development using varied technologies
Evaluating Big Data technologies for Data Warehousing, Analytics and Business Intelligence initiatives using Hadoop framework and various other components of the Apache Hadoop ecosystem; including MapReduce, HDFS, Hive, HBase, Pig, Sqoop etc.

HadoopBig Data TechnologiesBig Data Engineering

Web Developer

Dec 2011 – Dec 2014 · 3 yrs · New Delhi Area, India

Experience in developing complex web application using C# with .net Framework 4.0, Javascript, jQuery, AJAX etc for Ministry of Defense; in Supply Chain Management domain
Involved in all phases of Web Application development life cycle:
Client Interaction and Requirement Gathering, Designing and developing application from scratch, deployment in production environment and post-implementation support
Gained an exclusive experience of refining application performance, as Pages were required to handle thousands of editable rows in grids and huge amount of data in tabs, which were to be deployed on servers, having very low configuration

Web DevelopmentC#JavaScriptjQuery