Senior Manager, Master Data Management & Data Governance

Pure Storage•Santa Clara, CA

1d•Onsite

About The Position

Everpure's growth depends on data our teams can actually trust. As Sr. Manager, Master Data Management & Data Governance, you'll own the enterprise vision for our most critical data domains — Customer, Product, Asset, and Vendor — and build the governance foundation that makes every downstream decision faster and better informed. You'll lead a team of data stewards and data management professionals, and use AI and automation to move master data quality from periodic cleanup to continuous, self-correcting control. Partnering with leaders across Sales, Finance, Operations, Product, and IT, you'll turn fragmented data into an AI-ready asset the whole company can build on. This is a highly visible role with a direct line to how Everpure runs.

Requirements

A track record leading enterprise Master Data Management programs end to end across global implementations, with deep command of Customer, Product, Asset, and Vendor domains and the ability to design governance and stewardship models that scale for each.
Hands-on command of enterprise MDM and data quality platforms such as Reltio and Informatica, and proven success integrating them with core enterprise systems — ERP, CRM, PLM, and analytics — to drive enterprise-wide consistency.
Demonstrated success applying AI and automation to data stewardship, enrichment, and predictive quality controls, with a clear view of where the discipline is heading.
Experience building and developing teams of data stewards and data management professionals, and growing capability that outlasts any single program.
The ability to align diverse stakeholders and still decide, translate technical complexity into business impact, and influence C-suite and board-level audiences with clarity.

Responsibilities

Set and execute the enterprise strategy for Customer, Product, Asset, and Vendor master data, defining the governance and stewardship models that keep these domains consistent and trusted across every system that touches them.
Deploy AI and automation across matching, deduplication, classification, enrichment, and remediation, shifting master data quality from manual cleanup to continuous monitoring, anomaly detection, and automated correction.
Build the AI-ready data foundation, institutionalizing lineage, catalogs, dictionaries, and metadata, and ensuring master data flows cleanly across ERP, CRM, PLM, service management, and analytics platforms.
Establish the enterprise standards, ownership, and controls that govern master data quality, integrity, security, and compliance, partnering with senior business and technology leaders to make accountability real rather than nominal.
Build and develop the team and the program, growing data stewards and data management professionals into a high-performing group while owning delivery, budget, and the executive scorecards that show data health and business impact.