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Director Master Data Management Jobs in Colorado

Tanisha Systems

Cast Iron Developer

Denver, CO · On-site

... IBM Master Data Management (MDM) solution using IBM Cast Iron technology. • The Data Integration developer designs and implements data integrations into and from the Master Data Management (MDM ...

Tanisha Systems

Cast Iron Developer

Denver, CO · On-site

The Data Integration developer designs and implements data integrations into and from the Master Data Management (MDM) system for various data sources and data targets: which include, but limited to ...

Pure Solutions LLC

Reltio MDM Tech Lead

Denver, CO · On-site

The role involves hands-on development, team leadership, and coordination with architects and business teams to deliver high-quality master data management solutions. Responsibilities: * Lead end-to ...

Danone

Senior Manager, Data Architect

Louisville, CO · Hybrid

$105K - $140K/yr

Strong knowledge of data architecture, data governance, master data management, hierarchies, taxonomies, and data quality frameworks. * Proven ability to design flexible and scalable data structures ...

Danone

Senior Manager, Data Architect

Louisville, CO · Hybrid

$105K - $140K/yr

Strong knowledge of data architecture, data governance, master data management, hierarchies, taxonomies, and data quality frameworks. * Proven ability to design flexible and scalable data structures ...

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All JobsMaster Data Management JobsDirector Master Data Management JobsDirector Master Data Management Jobs in Colorado

Director Master Data Management information

See Colorado salary details

$38K

$135.5K

$211.1K

How much do director master data management jobs pay per year?

As of Aug 22, 2026, the average yearly pay for director master data management in Colorado is $135,516.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $168,400.00 per year, depending on experience, location, and employer.

What does a director master data management do?

A Director of Master Data Management (MDM) is responsible for overseeing the strategy, governance, and quality of an organization's critical data assets, such as customer, product, or supplier information. They lead teams to establish data standards, policies, and processes to ensure data consistency, accuracy, and security across the company. This role often involves collaborating with IT, business units, and data stewards to implement MDM solutions and drive data-driven decision making. The Director also monitors compliance with data governance frameworks and leads initiatives to improve data quality and business outcomes.

How does a director master data management typically collaborate with other departments to ensure data consistency across the organization?

A Director of Master Data Management (MDM) works closely with stakeholders from IT, operations, finance, and business units to establish and maintain data governance standards. This collaboration often involves leading cross-functional data stewardship committees, aligning data definitions, and ensuring that data quality initiatives are integrated with business processes. Regular meetings and workshops are common to address data issues, gather requirements, and roll out new MDM policies. By fostering strong interdepartmental relationships, the Director ensures that master data remains accurate, consistent, and accessible to all relevant teams.

What are the key skills and qualifications needed to thrive as a director master data management, and why are they important?

To thrive as a Director of Master Data Management, you need deep expertise in data governance, data architecture, and information management, typically backed by a bachelor’s or master’s degree in computer science, information systems, or a related field. Familiarity with MDM platforms (such as Informatica or SAP MDG), data quality tools, and relevant certifications like CDMP (Certified Data Management Professional) is highly valuable. Strong leadership, stakeholder engagement, and strategic thinking are essential soft skills for driving data initiatives and gaining organizational buy-in. These skills ensure the integrity, consistency, and strategic use of enterprise data, which are critical for informed business decisions and operational efficiency.

What is the difference between Director Master Data Management vs Data Governance Manager?

AspectDirector Master Data ManagementData Governance Manager
ResponsibilitiesOversees enterprise-wide master data strategies, policies, and systems to ensure data consistency and qualityDevelops and implements data governance frameworks, policies, and standards to ensure data compliance and integrity
Required SkillsData management, leadership, strategic planning, data architectureData policies, compliance, stakeholder collaboration, risk management
Work EnvironmentCorporate data teams, IT departments, cross-functional leadershipData governance committees, compliance teams, IT and business units

The main difference is that the Director Master Data Management focuses on managing and maintaining the company's core data assets, while the Data Governance Manager concentrates on establishing policies and standards to ensure data quality and compliance. Both roles collaborate closely but serve distinct strategic and operational functions within data management frameworks.

What are the most commonly searched types of Master Data Management jobs in Colorado?

The most popular types of Master Data Management jobs in Colorado are:

What cities in Colorado are hiring for Director Master Data Management jobs?

Cities in Colorado with the most Director Master Data Management job openings:

Director Master Data Management jobs near you
Infographic showing various Director Master Data Management job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $135,516 per year, or $65.2 per hour.

Director, Product Management - Data Intelligence Foundation (Denver)

Relativity

Denver, CO • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Remote/Hybrid

Job Overview

Relativity is a leading legal data intelligence company building AI technology that helps organizations organize data, discover the truth, and act on it with confidence. Over two decades, the company has built the most trusted platform in legal data, earning deep relationships with the world's leading law firms, corporations, and government agencies, and managing petabytes of the most sensitive data in existence. That foundation is now being turned into something larger: The AI platform for legal data intelligence. The Relativity Intelligence Model is the architecture for that transformation. At its base is the Foundational Layer (Relativity's shared data platform serving all AI applications). Five primitives give AI agents the structure, meaning, and retrieval capability they need to reason over legal data at scale: Files, Ontology, Data Capabilities, Knowledge/Metadata, and Query Plane. Relativity's Data Intelligence Foundation engineering org is building this layer. The product leadership that shapes it, drives adoption across Relativity's product teams, and builds the PM discipline to own it long-term. That's this role. The Director of Product Management, Data Intelligence Foundation is one of the highest-leverage product roles at Relativity. The Foundational Layer is what makes every Relativity aiR application smarter, every agent more reliable, and every Relativity product team faster. Getting it right matters enormously.

Job Description and RequirementsWhat you’ll ownThe full PM layer across multiple engineering orgs

  • Files / Natives: The storage primitive for legal documents, images, and native files. You define the substrate that makes immutable legal data consistently accessible across every product, partner integration, and AI workflow, with the SLAs, access contracts, and API surface that teams can build on with confidence. The underlying data primitives are the foundation; the degree to which the retrieval layer (Query Plane) matches this structure determines how easily the organization can navigate between slow data and fast data use cases.

  • Ontology / Relationship: The semantic layer of the Relativity Intelligence Model. Ontology encodes meaning: what kinds of things exist in legal data and how they relate, so that AI agents can reason, not just query. You define what Relativity's Ontology becomes: the entities, relationships, and contracts that give every Skill and Agent a shared vocabulary for legal data.

  • Data Capabilities: Reporting, Audit, and internal data infrastructure. The operational backbone that makes the platform observable, auditable, and explainable. These are non-negotiable properties in legal data intelligence use cases.

  • Knowledge / Metadata: The core data model that every product team, customer, and integration partner works with. A unified materialized document layer, consistent across all workspaces, is the mandate. Your roadmap evolves this surface to serve AI application teams as first-class consumers alongside the users who have relied on it for years.

  • Query Plane: One of the most performance-sensitive and strategically important services in the product. The mandate is a unified retrieval pillar with a rich materialized document layer: standardized ingestion APIs independent of data source, hybrid retrieval (lexical + vector) with reranking, chunking as a managed capability, and tiered storage (cold/warm/hot).

Minimum qualifications

  • 12+ years in product management; 5+ years leading platform or infrastructure PM organizations

  • Deep fluency with data platform primitives, including storage systems, metadata layers, knowledge graphs, query engines, or equivalent. You can design an

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