Senior Master Data Management (MDM) & Data Governance Consultant

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Hope you are doing well!!

Job Title: Senior Master Data Management (MDM) & Data Governance Consultant

Location: Sanford, NC

Contract only for W2 Candidates

Required Skills

•15+ years of experience in MDM, Data Governance, and Data Integrity

•Proven delivery in regulatory-compliant data integrity (FDA, EMA, PMDA)

•Hands-on experience with GxP data integrity principles (ALCOA+)

•Strong experience designing data governance from scratch

•Experience supporting greenfield site implementations

•Deep understanding of ERP–MES–LIMS–QMS master data integration

•Experience with federated master data models

Technology used: Microsoft D365 ERP, Azure Integration Services (AIS), Veeva Vault Quality, LabVantage (LIMS / ELN / LES), POMSnet Aquila (MES), ValGenesis (VLMS), CMMS platforms

•Location: Sanford, NC (On-site presence expected, with flexibility for remote work to candidates nearby states)

Required:
Mandatory Experience:

• 15+ years of experience in MDM, Data Governance, and Data Integrity.
• Proven delivery in regulated Life Sciences environments (FDA, EMA, and PMDA).
• Hands-on experience with GxP data integrity principles (ALCOA+).
• Strong experience designing data governance from scratch (no existing standards).
• Experience supporting greenfield site implementations.
• Deep understanding of ERP–MES–LIMS–QMS master data integration.
• Experience with federated master data models.

Technology Experience (Required):

• Microsoft D365 ERP.
• Azure Integration Services (AIS) – governance and interface design perspective.
• Veeva Vault Quality.
• LabVantage (LIMS / ELN / LES).
• POMSnet Aquila (MES).
• ValGenesis (VLMS).
• CMMS platforms.

(Hands-on configuration not required, but strong functional/data understanding is mandatory)
Consulting & Leadership Skills:

• Able to operate as lead individual contributor.
• Strong stakeholder engagement with IT, Quality, and Site leadership.
• Excellent facilitation of governance forums and design workshops.
• Able to translate regulatory expectations into practical, operational data processes.
• Strong documentation discipline (SOPs, data dictionaries, governance artifacts).

Responsibilities:
Key Objectives:

• Define and implement a site-level Master Data Governance operating model.
• Establish data standards, ownership, and stewardship for critical systems.
• Enable regulatory-compliant data integrity (FDA, EMA, and PMDA).
• Support Azure Integration Services–based data interfaces between critical systems.
• Deliver a scalable MDM template reusable for future sites.

Scope of Responsibilities:
MDM Strategy & Operating Model:

• Define MDM vision, scope, principles, and success metrics.
• Identify in-scope master data domains and Critical Data Elements (CDEs).
• Define Systems of Record, Reference, and data flows across ERP, QMS, LIMS, ELN, LES, MES, CMMS, and VLMS.
• Design the MDM operating model including governance, ownership, and escalation mechanisms.

Data Governance & Stewardship Framework:

• Define and operationalize Data Owner, Data Steward, and Data Custodian roles (new to the organization).
• Establish a local data governance committee, decision rights, and escalation paths.
• Develop Master Data Governance SOPs and Work Instructions.
• Align governance with Quality, IT, and GxP controls.

Data Models, Standards & Data Quality:

• Develop conceptual and logical data models for all in-scope domains.
• Define data standards, naming conventions, controlled vocabularies, and reference data.
• Establish data quality rules, validation criteria, and lifecycle controls.

Current-State Assessment & Gap Analysis:

• Document and optimize data maps across systems and interfaces.
• Assess current master data processes, controls, and data quality.
• Identify data duplication, inconsistencies, and regulatory risks.
• Perform gap analysis versus target MDM and governance model.

Roadmap & Implementation Planning:

• Develop a phased MDM roadmap, aligned with business and regulatory milestones.
• Identify dependencies across:
  • Microsoft D365 ERP (global instance, federated Product Master)
  • Veeva Quality Vault (QMS)
  • LabVantage (LIMS, ELN, LES)
  • POMSnet Aquila (MES)
  • ValGenesis (VLMS)
  • CMMS
• Define change management, training, and adoption activities.

Implementation Enablement & Delivery:
(No MDM platform implementation)

• Implement approved data standards within existing systems via configuration changes.
• Define site-level data lifecycle workflows per domain and system.
• Develop RACI models, governance cadence, and decision forums.
• Create SOPs, WIs, and training materials.
• Execute targeted master data remediation (e.g. de-duplication, standardization) within agreed site scope.

Key Deliverables:

• MDM Strategy & Operating Model.
• In-Scope Data Domains & Critical Data Elements Inventory.
• Data Governance & Stewardship Framework.
• Conceptual & Logical Data Models.
• Current-State Assessment & Gap Analysis Report.
• Phased MDM Roadmap.
• Data Standards, Naming Conventions & Data Quality Rules.
• Data Dictionaries for all critical systems.
• Master Data Governance SOPs / Operational Procedures.