Lalitkumar Sharma
Disabled people are innovative & problem solvers because we live in a world that\'s not designed for us
- Role
- HR Data Quality Project Manager at EY
- Location
- Mumbai, MH, IN
- LinkedIn followers
- 500 followers
About Lalitkumar Sharma
HR Reporting Lead | HR Analytics | Power BI | SAP HCM | SuccessFactors and Workday HCM Custom reporting and prism analytics 15+ years of driving HR reporting excellence, data governance, and analytics across APAC, Greater Europe, LATAM, and North America. Expert in Power BI, SAP HCM, and SuccessFactors, delivering executive dashboards, KPI reports, and automated solutions that save 200+ man-hours annually. Known for reducing reporting cycles by up to 75%, improving data accuracy by 95%, and enabling faster, insight-driven decision-making for senior leadership.Core Strengths: HR Reporting Strategy & KPI Development Executive Dashboards (Power BI, Advanced DAX) SAP HCM / SuccessFactors Analytics Workflow Automation (MS Power Automate) Global HR Process Reporting Awards: 2× YCMAD Annual Winner Award – Colgate-Palmolive
Experience
HR Data Quality Project Manager
Oct 2025 — Present · Mumbai, IN
Key Responsibilities: Data Dictionary & Cataloging: • Develop and maintain an enterprise HR Data Dictionary including data definitions, lineage, and ownership. • Implement HR data cataloging and metadata management practices. • Collaborate with HRIS and IT to ensure data documentation is up-to-date and accessible. PII Sensitivity & Data Classification: • Classify HR data assets based on sensitivity, regulatory risk, and business impact. • Define policies for handling Personally Identifiable Information (PII) and ensure role-based access control. • Partner with InfoSec to enforce data encryption, masking, and secure data sharing. Data Governance Structure: • Establish HR data governance framework including roles, responsibilities, and processes. • Facilitate HR data stewardship and data issue resolution forums. • Define escalation paths and RACI models for HR data quality ownership. Quality Monitoring & Reporting: • Design and implement data quality metrics, scorecards, and dashboards. • Monitor data accuracy, completeness, timeliness, and consistency across systems. • Drive remediation plans for data quality exceptions and anomalies. Compliance & Audit Readiness: • Support GDPR, HIPAA, and other compliance obligations for HR data. • Maintain audit trails for data changes, corrections, and access logs. • Provide documentation and evidence for audits and compliance reviews.
Education
K.J Somaiya College of Science & Commerce
Bcom, Commerce
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