Headline

Data Product Manager - AI & Data Engineering @ Carrier | Data Quality & Governance

About

Data Product Leader | Enterprise Data, Governance & AI Enablement I lead enterprise data products that create measurable business value. Currently, I lead a cross-functional team of Data Engineers, Data Modelers, Business Analysts, Architects, and Technical Leads responsible for delivering data products and capabilities across Finance, Source-to-Pay, Procure-to-Pay, Material, Customer, Vendor, and Master Data domains. My focus is not simply managing data - it is building trusted data foundations that improve business outcomes, accelerate decision-making, strengthen governance, and enable AI at scale. Over the years, I have led initiatives spanning: • Data Product Strategy & Delivery • Enterprise Data Governance • Metadata, Cataloging & Data Discovery • Data Lineage & Impact Analysis • Master Data Management • Data Quality & Observability • AI-Enabled Data Quality • Data Modeling & Enterprise Architecture • Analytics & AI Readiness • Business Value Realization A significant part of my work involves translating data investments into measurable outcomes - whether improving supplier reconciliation processes, reducing operational inefficiencies, strengthening compliance, increasing data trust, or enabling enterprise-wide analytics and AI capabilities. I believe successful data organizations operate with a product mindset: • Start with business outcomes • Measure value continuously • Build trust through quality and transparency • Drive adoption over implementation • Treat governance as an enabler, not a gatekeeper As organizations accelerate their AI journey, trusted data, strong metadata, reliable lineage, and measurable data quality are becoming strategic differentiators rather than technical capabilities. My mission is simple: Build data products people trust, teams adopt, and businesses value.

Location

Bengaluru

AI stack

cursor

gemini

github copilot

grok

notion

openai

Work experience

Data Product Manager - AI & Data Engineering at Carrier, Oct 2025 - Present · 1 yr 1 mo, Bengaluru · Hybrid, Leading Carrier's Unified Data & AI initiative, responsible for enterprise data products, governance, master data, metadata, lineage, data quality, and AI-ready data foundations across global business domains. • Lead a 17-member cross-functional organization comprising Data Engineers, Data Modelers, Business Analysts, Architects, and Technical Leads delivering enterprise data products across Finance, S2P, P2P, Customer, Vendor, Material, and Master Data domains. • Own the strategy, roadmap, and execution of enterprise data products, enabling trusted, reusable, and business-aligned data capabilities across a complex multi-ERP environment. • Drive business value realization through data product initiatives, identifying and enabling $1M+ annual value opportunities through automation, data quality improvements, process optimization, and risk reduction. • Lead AI-enabled Data Quality and Master Data initiatives, leveraging automation, anomaly detection, and proactive monitoring to improve data trust, operational efficiency, and AI readiness. • Establish enterprise standards for metadata, lineage, governance, and data quality, improving discoverability, transparency, compliance, and decision-making at scale. • Partner with senior business and technology leaders to align data investments with strategic objectives, digital transformation programs, and AI initiatives. • Deliver KPI-driven scorecards, governance operating models, and reusable data assets that accelerate analytics adoption and enterprise decision-making. • Champion a Data-as-a-Product mindset, embedding ownership, accountability, and measurable outcomes into enterprise data programs.

Senior Lead Engineer - Carrier Intelligence at Carrier, Oct 2023 - Oct 2025 · 2 yrs 1 mo, Bengaluru · Hybrid, • Led enterprise metadata, lineage, and data quality initiatives that improved data transparency, governance, and operational accountability across critical business domains. • Designed and implemented scalable data quality frameworks, establishing KPI-driven monitoring and governance processes across Finance, Customer, Vendor, Material, and Master Data domains. • Collaborated with engineering, governance, architecture, and business teams to embed data quality and trust into enterprise data platforms and operational processes. • Developed foundational capabilities for metadata management, lineage, and data discoverability that enabled enterprise-wide data governance adoption. • Translated governance and compliance requirements into actionable delivery roadmaps, ensuring alignment between business priorities and technical implementation. • Championed the shift toward a Data-as-a-Product operating model, creating the foundation for cross-domain data product strategy and enterprise data management capabilities. • Mentored teams and stakeholders on governance best practices, driving increased adoption of data management standards across the organization.

Senior AVP at Wells Fargo, Jul 2021 - Oct 2023 · 2 yrs 4 mos, Bangalore Urban, • Led enterprise-wide data governance and data management initiatives, driving improvements in data quality, regulatory compliance, risk management, and operational effectiveness. • Defined and implemented governance frameworks, data standards, controls, and operating models across critical business domains to strengthen data trust and accountability. • Directed large-scale data migration and transformation programs, ensuring business continuity, regulatory alignment, and successful stakeholder adoption. • Partnered with senior business, technology, risk, and compliance leaders to align enterprise data strategies with organizational priorities and regulatory requirements. • Established metadata management, data quality, and governance capabilities that improved data transparency, consistency, and decision-making across the organization. • Influenced governance adoption through executive stakeholder engagement, change management, and capability-building initiatives across business and technology teams. • Supported the advancement of enterprise data management maturity by embedding governance, stewardship, and accountability into core business processes.

Data Quality Engineer at Lenovo, Jan 2020 - Jul 2021 · 1 yr 7 mos, Bengaluru, • Led the development of a Common Data Model (CDM) for the Magellan Data Platform, establishing a unified and trusted data foundation for enterprise reporting and analytics. • Defined and implemented data quality and governance standards to improve data consistency, integrity, and compliance across business domains. • Collaborated with business and technology stakeholders to identify, prioritize, and resolve critical data quality issues, improving trust in enterprise data assets. • Designed and executed data validation, testing, and monitoring processes to ensure the reliability of data pipelines and reporting outputs. • Partnered with architects, engineers, and business teams to drive adoption of data management best practices and support enterprise data initiatives.

Global BI & ETL Engineer at Lenovo, Aug 2019 - Jan 2020 · 6 mos, Bengaluru, • Designed and implemented scalable ETL and data integration solutions supporting global business intelligence and analytics initiatives. • Built and optimized data acquisition, transformation, and integration workflows to improve performance, reliability, and scalability. • Applied advanced analytics and machine learning techniques to generate business insights and support data-driven decision-making. • Automated key reporting and data processing activities, reducing manual effort and improving operational efficiency. • Partnered with global stakeholders to deliver trusted analytics and actionable insights across multiple business functions.

Data Engineer at Lenovo, May 2017 - Jul 2019 · 2 yrs 3 mos, Bengaluru, • Developed and maintained enterprise data pipelines and architectures supporting reporting, analytics, and operational decision-making. • Designed and optimized ETL workflows for large-scale data ingestion, transformation, and integration across multiple source systems. • Performed data analysis and profiling to improve data quality, identify trends, and support business intelligence initiatives. • Prepared and curated data assets for predictive and prescriptive analytics use cases. • Collaborated with data scientists, architects, and engineering teams to improve platform reliability, scalability, and data quality standards.

Project Consultant (Independent) at Independent Contractor, Dec 2016 - May 2017 · 6 mos, • Supported short-term data governance and data management initiatives for business transformation programs. • Assisted in defining data ownership, stewardship, and documentation standards to improve accountability and consistency. • Contributed to foundational data quality and governance practices supporting enterprise data management objectives. • Collaborated with business stakeholders to improve reporting processes and data management controls.

Data Analyst at Teleperformance, Jan 2016 - Dec 2016 · 1 yr, Gurugram, • Supported customer operations and service delivery across multiple business processes while consistently meeting service-level commitments. • Analyzed operational and performance data to identify trends, process inefficiencies, and service improvement opportunities. • Collaborated with business teams to improve reporting accuracy and data consistency used in operational decision-making. • Participated in process improvement initiatives that enhanced service quality, operational efficiency, and customer experience.

Education

Bachelor of Technology (BTech), Manav Rachna International University