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Master Data Manager Jobs in Kentucky (NOW HIRING)

Korbel

$106K - $127K/yr

Data modeling, quality, and Master Data Management (MDM) enablement: Develop analytical models, AI-enabled solutions, and decision-support capabilities that drive business value. Work closely with ...

Pwc

Data Governance- Manager

Louisville, KY · On-site

$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 ...

Sazerac Company

Sales Data Coordinator

Louisville, KY · On-site

They will manage all master data within VIP SRS. In collaboration with IT, they will drive data enrichment and enhancement projects to advance reporting capabilities. They directly support the ...

Sazerac Company

Sales Data Coordinator

Louisville, KY · Hybrid

They will manage all master data within VIP SRS. In collaboration with IT, they will drive data enrichment and enhancement projects to advance reporting capabilities. They directly support the ...

Galent

Informatica MDM Administrator

Erlanger, KY · On-site

Ensure effective master data management, governance, data quality, and system performance. * Collaborate with business and technical stakeholders to support enterprise data management initiatives.

Pwc

MDM Senior Architect-Senior Manager

Louisville, KY · On-site

$124K - $280K/yr

The Opportunity As part of the Data Management team, you architect and manage master data management solutions to enhance business processes. As a Senior Manager, you lead large projects and innovate ...

Medvantx Inc

Sr. Data, Reporting Analyst

Louisville, KY · On-site

$78K - $99K/yr

Strong understanding of data governance, data quality, and master data management principles. Physical Demands * The physical demands of this position are in keeping with general office functions ...

Pwc

Oracle EPM - Senior Associate

Louisville, KY · On-site

Financial Master Data Management; and, Account Reconciliations. Demonstrates thorough abilities and/or a proven record of success as a team leader, leading technical implementation of EPM (Enterprise ...

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All JobsMaster Data JobsMaster Data Manager JobsMaster Data Manager Jobs in Kentucky

Master Data Manager information

See Kentucky salary details

$26.9K

$84.4K

$149.4K

How much do master data manager jobs pay per year?

As of Aug 13, 2026, the average yearly pay for master data manager in Kentucky is $84,373.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,300.00 and $109,000.00 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.

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 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 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 cities in Kentucky are hiring for Master Data Manager jobs?

Cities in Kentucky with the most Master Data Manager job openings:

Master Data Manager jobs near you
Infographic showing various Master Data Manager job openings in Kentucky as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $84,373 per year, or $40.6 per hour.

Lead AI & Data Engineer

Korbel

On-site

$106K - $127K/yr

Full-time

Posted 16 days ago

Job description

CURRENT EMPLOYEES, CONSULTANTS, AND AGENCY PARTNERS:

If you currently work for Brown-Forman, please apply by clicking the Careers icon on the Workday portal.

For best results, use Google Chrome to view this page.

Meaningful Work From Day One

Join our team and help shape the data foundation that will power Brown-Forman's next generation of analytics and AI capabilities. As the Lead AI & Data Engineer, this role offers the opportunity to accelerate our digital transformation by building a trusted, scalable cloud data foundation essential for analytics, reporting, Master Data Management (MDM), and future AI capabilities. Bring strong engineering discipline, curiosity, and business partnership to solve meaningful problems, modernize how we work with data, and make a visible impact across the enterprise. Collaborating closely with business and technology teams, this position will translate high-value business problems into production-grade data solutions, while also helping to shape next-generation AI applications such as RAG, conversational AI, and agentic workflows.

What You Can Expect

  • Business partnership and problem definition:Partner directly with business stakeholders to understand needs, clarify ambiguity, and translate business problems into clear technical requirements, data products, and delivery plans.

  • Cloud data-platform modernization:Help drive the modernization of data infrastructure from on-premises platforms to cloud-based solutions. Design and implement scalable datalakehousepatterns that support reliable ingestion, transformation, storage, and consumption of enterprise data.

  • Data pipelines and SaaS integration:Partner with Data Engineering teams to design, build, andoperateresilient, reusable ETL/ELT pipelines using Python, SQL, APIs, and cloud-native services. Collaborate on integrating data from SaaS platforms, enterprise applications, and other source systems into the enterprise data ecosystem while adhering toestablisheddata architecture standards, governance, and controls.

  • Data modeling, quality, and Master Data Management (MDM) enablement:Develop analytical models, AI-enabled solutions, and decision-support capabilities that drive business value. Work closely with Data Engineering, MDM, and business stakeholders toidentify,validate, and prepare trusted data needed for reporting, advanced analytics, machine learning, and intelligent automation initiatives.

  • AI-ready data foundations:Prepare governed, discoverable, and high-quality data that powers LLM, RAG, vector-search, conversational AI, and agentic applications. As the enterprise data foundation evolves, contribute to the design, development, and deployment of AI-enabled business solutions. Partner with business stakeholders and the AI Center of Excellence to deliver secure, scalable solutions that adhere to governance, security, compliance, and responsible AI standards.

  • Advanced analytics and reporting modernization:Enable trustworthy, performant datasets for Tableau, AWS Quick, and other reporting experiences. Support the modernization and rationalization of reporting layers as the cloud data platform evolves.

  • Engineering excellence:Develop, test, deploy, monitor, and document production-grade data solutions. Establishhigh standardsfor code quality, observability, reliability, security, and maintainability.

  • Technical leadership:Bring a pragmatic, hands-on approach to solving complex problems. Share engineering practices, coach peers, and help raise the team's capability in cloud data engineering and AI-enabled delivery.

What You Bring to the Table

  • 3+ years of dedicated experience in Data Science, Data Engineering, orAI, or 7+years of combined work and educationexperience.

  • Experience building and deploying production-ready data and AI solutions. Strong understanding of modern data architectures, cloud technologies, and analytical platforms, with the ability to select and apply theappropriate toolsfor a given business challenge.

  • Strong Python and advanced SQL skills, with the ability to build scalable, maintainable, and well-tested data pipelines andoptimizecomplex transformations and queries.

  • Experience partnering with Enterprise Architecture, Integration, and Data Engineering teams to support the design and implementation of modern datalakehouseand cloud data platform architectures that enable advanced analytics, AI, and business solutions.

  • Proven ability to work directly with business stakeholders, translate non-technical needs into technical requirements, and communicate technical decisions and tradeoffs clearly.

  • Experience integrating disparate systems through APIs, batch interfaces, and SaaS platforms, with attention to reliability, security, monitoring, and error handling.

  • Experience with data modeling, dataquality controls, reconciliation, lineage, and operational support for enterprise data pipelines.

  • Familiarity with Master Data Management concepts, including master-data domains, data stewardship, dataquality rules, match/merge logic, survivorship, golden records, and governance.

  • Experience enabling BI and reporting tools such as Tableau and/or AWS Quick.

  • Exposure tomodel evaluation, prompt engineering, or model customization techniques.

What Makes You Unique

  • Experience with AWS cloud services is preferred, including designing andoperatingscalable data, analytics, and AI solutions.

  • Experience with Databricks and modern datalakehousearchitectures is preferred, including data engineering, analytics enablement, governance, and preparation of trusted datasets that support advanced analytics and AI applications.

  • Experience building or supporting RAG applications, conversational AI solutions, AI agents, or LLM-powered business applications is preferred.

  • Familiarity with Hadoop, Cloudera, and/or Impala environments isa plus.

Working Arrangement

In-office at the Brown-Forman Louisville, Kentucky Corporate Headquarters Monday to Thursday, with flexibility to work remotely on Fridays.

Who We Are

We believe great people buildgreat brands. And we know there is Nothing Better in the Market than a career at Brown-Forman. Being a part of Brown-Forman means you will grow both personally and professionally. You will have the opportunity to solve problems, seize opportunities, and generate bold ideas. You will belong to a place where teamwork matters and where you are encouraged to bring your best self to work.

What We Offer

Total Rewards at Brown-Forman is designed to engage our people to ensure sustainable and profitable growth for generations to come. As a premium spirits company, we offerequitablepay structures for individual and company performance alongside a premium employee experience. We offer a range of premium benefits that reflect our company values and meet the needs of our diverse workforce.#LI

Requisition Type:

Employee

Management Level:

Leader

Global Job Level:

L2

Number of Openings Available:

1

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