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Data Warehouse Project Manager Jobs in Kentucky (NOW HIRING)

Collabera

Data Warehouse Specialist

Hebron, KY · On-site

$17 - $22.25/hr

... Global Talent Management, Value Added Services through CLASS (Competency Leveraged Advanced ... Data Warehouse Specialist Duration: 12+ Months (Strong Possibility of Extension) Description:

Humana

Senior IT Project Manager

Louisville, KY · Hybrid

$125K - $126K/yr

The Senior IT Project Manager work assignments involve moderately complex to complex issues where ... Longevity working in data warehouse, decision support and reporting system environments * Working ...

Humana

Senior IT Project Manager

Louisville, KY · Hybrid

$125K - $126K/yr

The Senior IT Project Manager work assignments involve moderately complex to complex issues where ... Longevity working in data warehouse, decision support and reporting system environments * Working ...

Humana

Senior IT Project Manager

Louisville, KY · Hybrid

$125K - $126K/yr

The Senior IT Project Manager work assignments involve moderately complex to complex issues where ... Longevity working in data warehouse, decision support and reporting system environments * Working ...

Henkel

Logistics Project Manager

Louisville, KY · On-site

$90K - $120K/yr

... warehousing, and logistics network domains. * Manage implementation of logistics network changes ... Gather and analyze data to support decision-making and project prioritization. * Ensure proper ...

Toyota

Regional Project Manager

Louisville, KY · On-site

Employees must follow all information security policies, protect confidential data, complete ... Toyota Automated Logistics is your global partner for integrated warehouse automation. Our team ...

Reliance One

Construction Project Manager

Georgetown, KY · On-site

$50 - $55/hr

This opportunity is ideal for a construction professional with experience managing complex, multimillion-dollar projects in industrial, manufacturing, automotive, warehouse, or commercial ...

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Data Warehouse Project Manager information

What is a data warehouse project manager?

Data Warehouse Project Managers are professionals responsible for overseeing the planning, execution, and delivery of data warehouse projects within an organization. They coordinate teams of data engineers, analysts, and stakeholders to ensure that data storage, integration, and reporting solutions are implemented on time and within budget. Their role involves managing project timelines, resources, risks, and communication, as well as ensuring that the data warehouse meets business requirements. They also play a crucial part in aligning technical solutions with organizational goals and regulatory standards.

What are the key skills and qualifications needed to thrive as a data warehouse project manager?

To thrive as a Data Warehouse Project Manager, you need strong project management skills, a background in data warehousing concepts, and experience with data modeling, ETL processes, and database systems. Familiarity with tools like Microsoft Project, Jira, SQL, and data integration platforms, as well as certifications such as PMP or Agile, are typically required. Excellent communication, leadership, and problem-solving skills help facilitate collaboration among technical and business stakeholders. These abilities ensure projects are delivered on time, within scope, and aligned with organizational data strategy.

What are the main challenges faced by a data warehouse project manager when coordinating between business stakeholders and technical teams?

A significant challenge for Data Warehouse Project Managers is bridging the gap between business stakeholders, who focus on data-driven insights, and technical teams, who handle complex architectures and data integration. Ensuring clear communication around requirements, timelines, and deliverables is essential, as misalignment can lead to project delays or unmet objectives. Successful managers facilitate regular meetings, translate business needs into technical specifications, and proactively address roadblocks to keep everyone aligned throughout the project lifecycle.

What is the difference between Data Warehouse Project Manager vs Data Analyst?

AspectData Warehouse Project ManagerData Analyst
Required CredentialsBachelor's in IT, Business, or related field; PMP or project management certifications often preferredBachelor's in Statistics, Mathematics, or related field; often requires SQL, Excel, and data visualization skills
Work EnvironmentLeads projects, manages teams, coordinates between stakeholders in data warehousing projectsAnalyzes data, creates reports, supports decision-making across departments
Employer & Industry UsageUsed in organizations with large data infrastructure, IT departments, data-driven companiesCommon across industries for business insights, marketing, finance, and operations

The Data Warehouse Project Manager focuses on overseeing data warehousing projects, managing teams, and ensuring project delivery. In contrast, a Data Analyst primarily interprets data, creates reports, and supports business decisions. Both roles require strong analytical skills, but their responsibilities and focus differ significantly.

Is data warehouse a good career?

A Data Warehouse Project Manager plays a key role in overseeing data integration and storage projects, requiring skills in database management, SQL, and project coordination. The field offers strong job growth, competitive salaries, and opportunities to work with advanced analytics tools, making it a viable career choice for those interested in data management and technology. Continuous learning and certifications can enhance career prospects in this field.

What are popular job titles related to Data Warehouse Project Manager jobs in Kentucky?

For Data Warehouse Project Manager jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Data Warehouse Project Manager jobs in Kentucky look for?

The top searched job categories for Data Warehouse Project Manager jobs in Kentucky are:

What cities in Kentucky are hiring for Data Warehouse Project Manager jobs?

Cities in Kentucky with the most Data Warehouse Project Manager job openings:

Data Warehouse Project Manager jobs near you
Infographic showing various Data Warehouse Project Manager job openings in Kentucky as of August 2026, with employment types broken down into 83% Full Time, 9% Part Time, 7% Temporary, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.

Data Warehouse Developer

Churchill Downs Incorporated

Louisville, KY • On-site

$47.25 - $64.75/hr

Full-time

Posted 13 days ago

Job description

ABOUT CHURCHILL DOWNS INCORPORATED 

Churchill Downs Incorporated (“CDI”) (Nasdaq: CHDN) has been creating extraordinary entertainment experiences for more than 150 years, beginning with one of the most iconic and enduring events in sports and entertainment—the Kentucky Derby. Headquartered in Louisville, Kentucky, CDI blends a rich legacy with a forward-looking approach to growth. Through the acquisition, development, and operation of live and historical racing entertainment venues, the expansion of online wagering services and other technology businesses, and the ownership and operation of regional casino gaming properties, CDI offers diverse career opportunities across the country. Our success is driven by dedicated team members who are passionate about delivering exceptional experiences, embracing innovation, and helping shape the future of entertainment.

JOB SUMMARY

The Data Warehouse Developer will utilize (BI) development skills, including MicroStrategy, in a highly collaborative Scrum environment. As a part of the BI team, the Data Warehouse Developer will design, implement, and maintain our data warehouse and front end reporting systems that allow users to access to pre-designed reports and self-serve analysis. They will work with data warehouses and utilize Microsoft SQL Server and support our growing brick and mortar gaming facilities. Specifically, the Data Warehouse Developer will perform the following day-to-day job duties: Build and maintain Extraction, Transform, and Load (ETL) and Data Warehouse objects (including Transactional Replication/CDC, SQL Procedures, MicroStrategy semantic model, SSAS, MDS/DQS, BIML, PowerShell scripts); SSIS, Translate business requirements into detailed, production-level technical specifications and data models; Modify existing reports and/or develop new reports by analyzing databases, data sources, structures for the benefit of users; Use SQL including complex stored procedures, common table expressions, analytic and functions, query optimization, and indexing; Design, implement, and maintain normalized, operational data store, and dimensionally modeled database systems; Design and develop ETL processes while utilizing Microsoft SQL Server Integration Services (SSIS); Use object-oriented languages such as C#, PowerShell, or Python; Use Agile and Scrum methodologies to iterate quickly on product changes, develop user stories, and work through backlogs; Understand data management and data warehousing technologies related to data modeling, database administration and performance tuning, archiving, and disaster recovery; Work with multi-terabyte data sets; Design and build enterprise conceptual or logical data models; and Contribute to the design and optimization of CDI's data layer as the company's single layer of the truth.

EDUCATION AND EXPERIENCE

Education Requirement: Master’s degree in computer information technology, computer science, business analytics, data analytics, or a related field.

Experience Requirement: Two (2) years of experience as a data engineer or data developer.

REQUIRED SKILLS AND ABILITIES

Must have work experience in each of the following:  1) designing, implementing, and optimizing enterprise-scale data warehouse and operational data store architectures, including normalized and dimensionally modeled systems, serving as a single source of truth across business domains; 2) architecting and maintaining sophisticated ETL pipelines leveraging SSIS, BIML, Transactional Replication and Change Data Capture, with an emphasis on scalability, data quality, and performance in high-volume environments; 3) developing and maintaining semantic models and analytical layers using platforms such as MicroStrategy and SSAS, enabling governed self-service analytics while abstracting complex data structures for business users; and 4) advanced SQL development, including complex stored procedures, analytic functions, query optimization, and indexing strategies, specifically tuned for multi-terabyte data environments and mission-critical reporting systems.
#LI-DNI

CHURCHILL DOWNS INCORPORATED

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.

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