Master Data Management & Governance Lead

Solstice Advanced Materials; Morris Plains (NJ); On-site; USD 140,000 - 175,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

401(k) match

Paid time off

Job summary

Solstice Advanced Materials seeks a Data Management Manager to lead governance, quality, mastering, cataloging, and controlled distribution of enterprise data. You will own data policies, standards, stewardship models, and daily operations that keep core business data accurate, consistent, and trusted across systems.

Your success will be measured by master data quality scores, reduced duplicates, faster onboarding of customers/vendors/materials, and fewer downstream incidents caused by bad

Qualifications

• Bachelor's degree (or above) in Information Management, Business, Computer Science, MIS, Supply Chain, Finance, or a related field.
• 5+ years in data management with deep, hands‑on experience in Data Management including but not limited to Data Quality and Reliability, Data Governance, Master Data Management, Analytics assurance across cross functional domains.
• Proven ability to influence laterally and vertically across a complex, cross‑functional organization without relying on direct authority.
• Strong ability to grasp data user needs and the governance, quality, compliance, and stewardship practices that improve enterprise data use.

Responsibilities

• Align data management capabilities with business strategy; translate enterprise priorities into a prioritized roadmap and own the intake, prioritization, and delivery processes.
• Guide the evaluation and optimization of data management tools and platforms to advance data capabilities and operational efficiency.
• Operate data quality monitoring; track quality, usage, and KPIs and surface actionable insights to stakeholders.
• Triage issues to the originating process and partner with process owners on upstream fixes — not downstream cleanup.
• Support governance, privacy, and security controls; partner with risk, audit, and privacy teams on SOX, audit requests, and business continuity for critical data assets.
• Serve as the liaison between business domains and the technology teams that build data platforms — translating data needs into clear requirements at the boundary.
• Partner with data engineering, architecture, BI, and analytics teams so mastered and reference data flow cleanly into downstream consumers.
• Own the MDM operating model across core domains - customer, vendor, material/product, etc. in partnership with domain owners.
• Define master data standards, rules, hierarchies, golden records, and match/merge strategies. Own MDM workflows across Reltio and SAP with SLAs and audit trails.
• Lead remediation of legacy master data debt and master data readiness for migrations, M&A etc.
• Stand up and run the stewardship community comprising data owners, domain stewards, operational stewards — with clear RACI, decision rights, and governance forums that resolve definitions, ownership, and rule changes.
• Evangelize an enterprise business glossary and reference data for mastered domains to keep terms, definitions, and lineage consistent across the company.
• Coach stewards and business users to raise data literacy and disciplined data behavior.
• Manage MDM, data quality, and reference data vendor and SI relationships, platform service agreements, and the operational budget; lead vendor evaluation and service transitions as the tooling landscape evolves.

Skills

Data governance

Data quality

Master Data Management

Stakeholder management

Data modeling

Data standards

Education

Bachelor's degree in Information Management, Business, Computer Science, MIS, Supply Chain, Finance, or related field

Tools

Reltio

SAP

SQL

Collibra DQ

Atlan

SFDC

Job description

Solstice Advanced Materials seeks a Data Management Manager to lead governance, quality, mastering, cataloging, and controlled distribution of enterprise data. You will own data policies, standards, stewardship models, and daily operations that keep core business data accurate, consistent, and trusted across systems.

Your success will be measured by master data quality scores, reduced duplicates, faster onboarding of customers/vendors/materials, and fewer downstream incidents caused by bad