Nidhi Sharma — Technical Program Manager, Enterprise Data & Analytics Transformation

Project Northstar

Marketing Analytics Transformation

Marketing performance was scattered across disconnected tools and spreadsheets no one trusted. I ran the end-to-end modernization as one governed program, delivering a single, trusted source of truth adopted across the business.

13Lifecycle phases

6Roadmap gates

AgileJira delivery

E2ECharter → benefits

How I ran the program

GovernanceSteering committee · weekly RAID · stage-gates
DeliveryAgile / Scrum, sprint cadence in Jira
ScopeMarketing data → cloud warehouse → BI + MarTech activation
LandingStaged UAT, controlled cutover, hypercare, benefits tracking

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Cloud Data Migration

Enterprise Cloud Migration

A legacy on-prem data warehouse was slow, costly, and near end-of-life. I led the full-lifecycle migration to the cloud — cutting cost and processing time with zero data loss, 100% reconciled at cutover.

100%Source-to-target reconciled

400 → 250Reporting estate rationalized

4,500+BI report consumers

~9 moConcept to decommission

How I ran the program

DeliveryPhased dual-run migration, wave-based cutover
GovernanceSteering committee · weekly RAID · quality gates
MethodAgile / Scrum, tracked in Jira
AssuranceSource-to-target reconciliation + business UAT sign-off

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Partner Analytics

Multi‑Touch Attribution

Multi-channel marketing spend couldn't be tied to the revenue it drove. I engineered the enterprise matching engine that tied 460K+ engagements to real CRM revenue across three regions.

460K+Engagement records matched

3 → 1Source systems unified

7+Currencies to USD

NA·EMEA·APACGlobal coverage

How I built it

MatchingFuzzy entity resolution (Jaro-Winkler, token-set) with country blocking
StackBigQuery · Python · Tableau
ModelRules-based, account-based attribution — touch → CRM account → pipeline
DeliveryAsana + MS Project, with global partner leads across NA/EMEA/APAC

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