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Master Data Manager Jobs in Spring, TX (NOW HIRING)

Pwc

Data Strategy-Manager

Houston, TX

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data ...

Novocure Inc

Data Architect

Houston, TX · On-site

$61 - $78.25/hr

Lead architecture decisions related to data governance, quality, metadata management, and master data management * Partner with business and technology leaders to identify opportunities to improve ...

Novocure

Data Architect

Houston, TX

$54 - $69.50/hr

Lead architecture decisions related to data governance, quality, metadata management, and master data management * Partner with business and technology leaders to identify opportunities to improve ...

Pwc

Data Governance- Manager

Houston, TX

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data ...

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All JobsMaster Data JobsMaster Data Manager JobsMaster Data Manager Jobs in Spring, TX

Master Data Manager information

See Spring, TX salary details

$27.6K

$86.4K

$153.1K

How much do master data manager jobs pay per year?

As of Jul 15, 2026, the average yearly pay for master data manager in Spring, TX is $86,448.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $111,700.00 per year, depending on experience, location, and employer.

How does a Master Data Manager typically collaborate with other departments to ensure data consistency across the organization?

A Master Data Manager works closely with teams such as IT, finance, operations, and sales to establish and enforce data governance policies. They facilitate regular communication to align data standards and resolve discrepancies, often leading cross-functional meetings to address data quality issues. By collaborating on data integration projects and implementing best practices, Master Data Managers ensure that all departments have access to accurate and consistent information, which is crucial for decision-making and operational efficiency.

Is MDM outdated?

Master Data Management (MDM) remains a vital function for data-driven organizations, ensuring data consistency and accuracy across systems. While new technologies like data lakes and cloud platforms have evolved, MDM practices are still essential for maintaining reliable master data, and professionals in this field need skills in data governance and tools like Informatica or Collibra.

What is the difference between Master Data Manager vs Data Analyst?

AspectMaster Data ManagerData Analyst
Required CredentialsBachelor's degree in Business, IT, or related field; certifications like CDMP or DAMABachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting departments
Employer & Industry UsageFinance, healthcare, retail, manufacturingMarketing, finance, consulting, technology

The Master Data Manager focuses on maintaining and governing core data assets across an organization, ensuring data accuracy and consistency. In contrast, a Data Analyst interprets data to generate insights and support decision-making. While both roles require data-related skills, the Master Data Manager emphasizes data governance and management, whereas the Data Analyst emphasizes data analysis and reporting.

What are the 4 types of MDM?

Master Data Management (MDM) typically includes four main types: consolidated, registry, coexistence, and centralized. Consolidated MDM creates a single, unified view of data by merging records from multiple sources, while registry MDM maintains links between records without merging. Coexistence MDM allows data to be managed separately but synchronized, and centralized MDM stores all master data in a single repository, often requiring strong data governance and data quality practices.

What are the key skills and qualifications needed to thrive as a Master Data Manager, and why are they important?

To thrive as a Master Data Manager, you need expertise in data governance, data quality management, and strong analytical skills, typically supported by a degree in information systems or a related field. Familiarity with master data management (MDM) platforms like Informatica or SAP MDG, and certifications in data management are highly beneficial. Exceptional communication, attention to detail, and project management abilities help you collaborate across departments and drive data initiatives. These skills ensure accurate, consistent, and reliable data that supports business decision-making and operational efficiency.

What is the role of a master data manager?

A master data manager is responsible for overseeing the organization’s core data assets, ensuring data accuracy, consistency, and integrity across systems. They develop data governance policies, manage data quality initiatives, and collaborate with IT and business teams to maintain reliable master data. Proficiency in data management tools and understanding of data standards are essential for this role.

What is a Master Data Manager?

A Master Data Manager is a professional responsible for overseeing an organization’s critical business data, ensuring its accuracy, consistency, and security across various systems. They develop and implement policies and processes for managing master data, such as customer, product, or supplier information. Their role often involves data governance, quality control, and collaborating with different departments to maintain data integrity. Master Data Managers help organizations make informed decisions by providing reliable data and supporting compliance with regulatory requirements.

What is a master data management job?

A master data management (MDM) job involves overseeing and maintaining an organization’s core data assets to ensure accuracy, consistency, and reliability across systems. Professionals in this role typically work with data governance, data quality tools, and enterprise software to create a unified view of critical information such as customer, product, or supplier data.
What cities near Spring, TX are hiring for Master Data Manager jobs? Cities near Spring, TX with the most Master Data Manager job openings:
Master Data Manager jobs near you
Solution Architect, Customer Data and MarTech

Solution Architect, Customer Data and MarTech

Academy Sports + Outdoors

Katy, TX • On-site

Full-time

Posted 23 days ago

Academy Sports + Outdoors rating

5.7

Company rating: 5.7 out of 10

Based on 437 frontline employees who took The Breakroom Quiz

460th of 727 rated retailers

Job description

Job Summary:
Academy Sports + Outdoors is a leading sports and outdoors retailer committed to fostering a people-first culture. They are seeking a Solution Architect specializing in Customer Data and MarTech to define and deliver solution architectures, ensure seamless integration of various platforms, and govern identity resolution and consent enforcement.
Responsibilities:
• Architecture & Design: Define and deliver solution architectures for CDP, Customer Master Data, Customer 360, marketing automation, personalization, and attribution ecosystems. Establish target-state architecture across CDP, Data Warehouse, and Customer Master Data with clear separation of concerns between data mastering, activation, and analytics.
• Integration: Ensure seamless connectivity between MarTech platforms, AdTech tools, data platforms, CMS/DAM systems, and analytics ecosystems.
• Identity & Governance: Define and govern identity resolution, enterprise customer ID strategy, and consent enforcement, ensuring compliance with privacy regulations and enterprise data policies.
• Personalization & Decisioning: Architect real-time and batch decisioning frameworks, enabling scalable personalization, experimentation, and ML-driven customer engagement.
• Data & Content Technology Strategy: Define standards for data flows, identity management, customer mastering approaches, and content governance across platforms.
• Retail Media & Activation: Enable first-party data activation across paid media and Retail Media Networks, supporting audience creation, targeting, and monetization.
• Vendor Strategy & Cost Optimization: Evaluate MarTech and AdTech platforms, drive build vs buy decisions, and optimize platform usage and cost, including CDP unit economics.
• Innovation & Strategy: Stay ahead of trends in MarTech, AdTech, AI, and analytics, recommending new technologies and approaches that drive measurable business outcomes.
• Governance & Oversight: Serve as design authority for customer data and marketing technology, ensuring scalability, security, compliance, and alignment with enterprise architecture standards.
• Collaboration: Partner with Marketing, Product, IT, Data Science, and vendors to align on roadmaps, define capability-driven Architecture models, and deliver reusable, scalable solutions.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (master’s degree a plus).
• 8+ years of experience in customer data, data engineering, or MarTech domains, with at least 3 years in marketing technology architecture, including personalization and customer engagement solutions.
• MarTech data domain expert skilled in customer data, clickstream, identity resolution, segmentation, and activation across owned, paid, and partner channels.
• Proven expertise in CDP (COTS or in-house), Customer Master Data management, CRM/loyalty systems, and Customer 360 solutions.
• Experience defining identity resolution strategies (first-party, hybrid, and third-party) and understanding tradeoffs across CDP, data warehouse, and external identity providers.
• Experience implementing privacy, consent management, and data governance frameworks, including consent enforcement and data lineage.
• Experience designing architectures for personalization, ML decisioning, loyalty programs, closed-loop measurement, and attribution.
• Hands-on experience with marketing automation platforms (ESP/SMS/Push) integrated with customer data and analytics platforms.
• End-to-end experience across the MarTech and AdTech stack, spanning CDP, Customer Master Data, personalization engines, paid media platforms, analytics, attribution, and customer data activation.
• Background integrating CMS/DAM platforms with personalization and engagement ecosystems.
• Experience supporting Retail Media Networks (RMN), audience monetization, and paid media activation using first-party data.
• Experience evaluating and selecting MarTech/AdTech platforms, including build vs buy decisions and vendor architecture assessments.
• Skilled in high-volume, high-velocity data ingestion architectures (batch and streaming).
• Experience working with Data Science teams to operationalize ML models into customer-facing workflows.
• Proficiency with MarTech/AdTech platforms such as Salesforce Marketing Cloud, Adobe Experience Cloud, Braze, HubSpot, Google Analytics, or similar ecosystems.
• Customer Data: Customer Data Platforms, Customer Data Warehouse, Customer Master Data, Customer 360.
• Identity Resolution: First-party, hybrid, and third-party identity graphs, deterministic and probabilistic matching.
• Marketing Platforms: ESP/SMS/Push, CRM, CMS/DAM, personalization, and decisioning engines.
• AdTech/Media: Paid media platforms, attribution frameworks, Retail Media Networks, audience activation.
• Cloud Platforms: GCP preferred (AWS/Azure acceptable).
• Integration Patterns: APIs, microservices, event-driven architectures (Kafka, Pub/Sub).
• Data Platforms: Data lakes, data warehouses, Lakehouse patterns, structured and unstructured databases.
• Customer Data Governance: Consent management, data lineage, auditability, data contracts.
• Architecture Strategy: Build vs buy evaluation, platform scalability, cost optimization, real-time vs batch tradeoffs.
• AI/GenAI adoption: Leveraging AI/GenAI across marketing use cases and software development to drive personalization, automation, and engineering efficiency.
• Process Automation: DevOps, AIOps & automation frameworks for Martech.
• Excellent communication and presentation skills with the ability to simplify complex concepts for business and executive stakeholders.
• Strong problem-solving, creativity, and ability to balance technical rigor with business value.
Preferred:
• Exposure to AI-driven engagement, automation, and GenAI is considered a plus.
Company:
At Academy Sports + Outdoors, we believe in the power of fun. And we believe in helping our customers have more of it. Founded in 1938, the company is headquartered in Katy, USA, with a team of 10001+ employees. The company is currently Late Stage.

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