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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 ...

Lockheed Martin

Data Analyst Senior

Lexington, KY

$81K - $103K/yr

Manage the quality assurance of data scraping, query databases for stakeholder requests, and triage data issues for timely resolutions; Analyze large datasets, draw valid inferences and prepare ...

Pwc

Data Engineer - Manager

Louisville, KY

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Lockheed Martin

Data Analyst Senior

Lexington, KY · On-site

$81K - $103K/yr

Manage the quality assurance of data scraping, query databases for stakeholder requests, and triage data issues for timely resolutions; Analyze large datasets, draw valid inferences and prepare ...

Medium

Head of Data Science

London, KY · On-site

$128.45 - $148.73/hr

About the Role We're hiring a Head of Data Science to build DS into a core function at Fresha, not manage what already exists. Today the team is small but technically strong. We have production ML ...

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Showing results 21-40

All JobsData JobsData Manager JobsData Manager Jobs in Kentucky

Data Manager information

See Kentucky salary details

$26.9K

$84.4K

$149.4K

How much do data manager jobs pay per year?

As of Aug 8, 2026, the average yearly pay for 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.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

Are data managers in demand?

Data managers are in high demand across various industries due to the increasing reliance on data-driven decision making. They typically require strong skills in database management, data analysis, and familiarity with tools like SQL and data visualization software, making their roles essential for organizations managing large data sets.

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

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

How does a data manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.
More about Data Manager jobs
What are the most commonly searched types of Data jobs in Kentucky? The most popular types of Data jobs in Kentucky are:
What job categories do people searching Data Manager jobs in Kentucky look for? The top searched job categories for Data Manager jobs in Kentucky are:
What cities in Kentucky are hiring for Data Manager jobs? Cities in Kentucky with the most Data Manager job openings:
Data Manager jobs near you
Infographic showing various Data Manager job openings in Kentucky as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% 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

$106K - $127K/yr

Full-time

Posted 11 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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