Enterprise Technology & Data Leader
Master Data Management · Data & AI · IT Consulting · Managed IT Services · Business Automation
16+ years advising and delivering enterprise technology, data, and AI initiatives — turning fragmented systems and data into governed, intelligent, and automated operations for global organizations.
Years of Experience
Team Size Led
On-Time, On-Budget Delivery
Manual Effort Reduced
I'm an enterprise technology, data, and AI leader who has spent 16+ years moving between hands-on architecture and end-to-end program delivery — designing Master Data Management platforms, standing up IT operations, and leading the global teams that keep it all running. That combination is what clients and employers come back for: someone who can define the technology direction and also own the governance, budget, and delivery that gets it into production.
Architected enterprise Reltio MDM data models, entity structures, and match/survivorship frameworks reused as delivery accelerators across engagements.
Designed Golden Record, match & merge, and data quality architecture that improved trusted-record accuracy and reduced duplicates.
Established PMO-style delivery governance — KPIs, dashboards, steering-committee reporting — delivering 90% of projects on schedule.
Designed automation that reduced manual effort by 30% and saved ₹80 Lakhs annually.
Directed major incident management and root-cause analysis, improving major incident resolution by 20% through unified governance workflows.
Architected high-volume Databricks/SQL ingestion pipelines feeding MDM, enhancing data quality and analytics readiness.
Consulting and advisory capability across ten focus areas — engage on one initiative or a broader program.
Enterprise and business web applications built for real workflows, not just demos.
Learn more →Data strategy, platforms, and AI-assisted analytics that support real decisions.
Learn more →Technology advisory, modernization, and delivery transformation.
Learn more →Reltio MDM — modeling, golden records, and governance.
Learn more →Application support, service management, and SLA-driven operations.
Learn more →Production support, operational governance, and incident/problem management.
Learn more →Reporting, KPI dashboards, and analytics that drive business decisions.
Learn more →Workflow and process automation that removes repetitive manual effort.
Learn more →Stewardship, standards, and accountability for trusted data.
Learn more →AI assistants, agent workflows, and responsible enterprise adoption.
Learn more →Good technology leadership isn’t about heroics under pressure — it’s about building the governance, data foundations, and automation so pressure rarely has to reach heroics in the first place.
Structure — KPIs, RAG reporting, steering-committee cadence — isn’t overhead. It’s what lets a distributed team and a growing data estate move fast without moving blind.
A Golden Record, or a well-governed dataset, isn’t a project deliverable — it’s infrastructure the rest of the business builds on for years.
AI and automation should remove repetitive work, not remove human accountability — every workflow keeps a clear owner and a review point.
Open to conversations on MDM transformation, AI adoption, IT consulting, and enterprise operations.
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