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Contract Data Jobs in Kentucky (NOW HIRING)

Lead strategic vendor partnerships, contract negotiations, and commercial discussions while evaluating build-versus-buy decisions. Data Platform Leadership * Lead globally distributed teams across ...

$99 - $225/hr

  • Medical

  • Life

  • Retirement

  • PTO

... as well as contract-specific affordability and organizational requirements. The projected ... Data Privacy** For more information on how Booz Allen uses your information, please see our Careers ...

New

Data Center Technician

Louisville, KY ยท On-site

  • Medical

  • Life

  • Retirement

  • PTO

... hiring Data Center Technicians for our Louisville, KY Technologies Group . Our Low Voltage ... We've added an entire new security product line, as well as secured contracts from internationally ...

$300 - $320/hr

Set the technical standards -- schema governance, data contracts, tenant isolation models -- that every consuming team builds against. Real-Time Data Movement; Integration * Architect a real-time ...

New

$120 - $170/hr

  • Medical

  • Dental

  • Retirement

Partners with the Director of Semantic Data Products & Analytics Engineering to develop data contracts that document business meaning, source expectations, grain, required attributes, quality rules ...

$72K - $96K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborates with the Office of Contracts and Grants (OGC) for responsibilities related to ... Analyzes compliance trends, audit findings, and contractor performance data to recommend process ...

Data Entry Pharmacy Technician

Lexington, KY ยท On-site

$20/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Data Entry Pharmacy Technician - Lexington, KY Prefer a desk-based pharmacy role? We're hiring Data ... Employment Types: Full-Time | Part-Time | PRN | Contract | Temporary | Temp-to-Hire Compensation ...

Data Entry Pharmacy Technician

Louisville, KY ยท On-site

$18 - $22/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Data Entry Pharmacy Technician - Louisville, KY Prefer a desk-based pharmacy role? We're hiring ... Employment Types: Full-Time | Part-Time | PRN | Contract | Temporary | Temp-to-Hire Compensation ...

$270 - $290/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Support global procurement and supply chain-enabled data center operating services supporting regional operations teams.* Manage global and regional service contracts, including maintenance, repair ...

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Showing results 41-60

Contract Data information

See Kentucky salary details

$9

$28

$63

How much do contract data jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for contract data in Kentucky is $28.91, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $38.14 per hour, depending on experience, location, and employer.

What is a contract data job?

Contract Data jobs involve managing, analyzing, and maintaining data related to contracts within an organization. Professionals in these roles ensure the accuracy and completeness of contract records, oversee the contract lifecycle, and may handle compliance tracking and reporting. They often work closely with legal, procurement, and finance teams to support decision-making and reduce organizational risk. Skills in data management, attention to detail, and familiarity with contract management systems are typically required.

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

To thrive as a Contract Data Analyst, you need strong analytical skills, attention to detail, and a background in business, finance, or data management. Familiarity with contract management systems, data analysis tools like Excel or SQL, and relevant certifications such as Certified Commercial Contracts Manager (CCCM) are typically required. Excellent communication, problem-solving, and organizational skills help you interpret data and collaborate with stakeholders effectively. These competencies ensure accurate contract analysis, risk mitigation, and informed decision-making in contract administration.

What are some common challenges faced by contract data professionals, and how can they be managed effectively?

Contract Data professionals often encounter challenges such as handling large volumes of complex agreements, ensuring data accuracy, and meeting tight deadlines. To manage these effectively, it's important to establish robust data management procedures, utilize contract lifecycle management software, and maintain clear communication with legal, procurement, and compliance teams. Staying organized and proactive in identifying discrepancies or missing information can prevent bottlenecks and ensure contracts are processed efficiently.

What is the difference between Contract Data vs Contract Data Analyst?

AspectContract DataContract Data Analyst
Required CredentialsTypically no specific certifications, but familiarity with data tools helpfulOften requires a degree in data analysis, statistics, or related field; certifications like Microsoft Excel or SQL beneficial
Work EnvironmentTemporary or project-based, often remote or on-siteSimilar, project-based roles with focus on data interpretation and reporting
Employer & Industry UsageUsed across industries for short-term data tasksCommonly employed in finance, marketing, and tech sectors for data analysis projects
Search & Comparison IntentPeople compare to understand role scope and requirementsOften compared to Contract Data to clarify responsibilities and skills needed

Contract Data refers to temporary roles focused on data-related tasks, often without specific certifications. Contract Data Analysts are specialized professionals with analytical skills and relevant credentials, performing in similar temporary settings. The main difference lies in the level of expertise and specific responsibilities.

What are the most commonly searched types of Data jobs in Kentucky?

The most popular types of Data jobs in Kentucky are:

Infographic showing various Contract Data job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $60,124 per year, or $28.9 per hour.

Director, Data Platforms Engineering

Yum

Louisville, KY โ€ข On-site

Full-time

Re-posted 13 days ago


Job description


Yum! Brands is seeking a strategic and technically accomplished Director to lead the Data Architecture, Engineering, and Operations functions within the AI, Data & Analytics organization.
This role is responsible for defining the vision, strategy, operating model, and execution framework for enterprise data platforms that power analytics, AI, and business operations across Yum! Brands. As a key member of the DP&E leadership team, this individual will lead globally distributed teams, oversee strategic technology investments and vendor partnerships, partner with executive stakeholders, and drive alignment between platform capabilities and enterprise objectives.
The ideal candidate combines proven experience leading large-scale technical organizations with deep expertise in modern cloud data platforms, data architecture, and engineering practices. They will be equally comfortable influencing enterprise strategy, building high-performing teams, communicating with senior leadership, and guiding technical decisions that drive scalability, reliability, and innovation.
Responsibilities
Key Responsibilities
Strategic Leadership & Organizational Excellence
  • Serve as a primary representative of Data Platforms & Engineering within Yum! to executive leadership, building trusted relationships with senior business, technology, and market leaders while influencing enterprise strategy, technology investments, and platform priorities.

  • Develop and deliver executive-level communications, business cases, strategic roadmaps, and operational reviews, translating complex technical concepts into clear business outcomes and actionable recommendations for senior leadership and C-level stakeholders.

  • Lead a globally distributed organization supporting enterprise data platforms, establishing operating models, execution frameworks, and accountability mechanisms that support Yum!'s AI, Data & Analytics strategy.

  • Build high-performing technical teams through coaching, succession planning, and organizational development while driving prioritization across competing business and technology demands.

  • Own budget planning and financial stewardship across assigned platforms, tooling, vendor relationships, and delivery functions.

Modern Data Stack Ownership
  • Own the strategy, roadmap, and continuous evolution of the modern cloud data stack, including Snowflake, dbt Core, Airflow/Astronomer, Monte Carlo, AWS, and related technologies.

  • Establish engineering standards across CI/CD, automated testing, modular pipeline design, semantic modeling, and observability.

  • Evaluate and introduce emerging technologies, including AI-driven automation, to improve platform scalability, operational efficiency, and speed of delivery.

Enterprise Data Platform Strategy
  • Define and execute the long-term vision, roadmap, and operating model for enterprise data platforms in partnership with AIDA leadership.

  • Drive platform standardization and modernization efforts across brands, functions, and technology teams while influencing investment decisions and technical priorities.

  • Lead strategic vendor partnerships, contract negotiations, and commercial discussions while evaluating build-versus-buy decisions.

Data Platform Leadership
  • Lead globally distributed teams across Data Architecture, Engineering, and Operations, providing strategic direction, organizational leadership, and technical oversight for enterprise data platforms.

  • Establish enterprise architecture patterns, engineering practices, and operational processes that improve platform quality, resiliency, maintainability, and speed of delivery.

  • Oversee delivery and support of enterprise data products, platform capabilities, and foundational datasets that power analytics, AI, and operational decision-making.

  • Drive continuous improvement through automation, observability, performance optimization, and operational excellence.

  • Serve as the senior authority for platform architecture and engineering decisions, guiding complex technical tradeoffs and influencing enterprise technology standards.

Business Partnership & Data Product Enablement
  • Partner with business, product, technology, and BYTE Engineering leaders to translate strategic priorities into scalable data products and platform capabilities.

  • Act as a trusted advisor on platform capabilities, architecture decisions, and data strategy, ensuring alignment between technical investments and business outcomes.

  • Drive adoption and measurable value of enterprise data products while ensuring solutions are scalable, reusable, and aligned with broader enterprise technology roadmaps.

Talent & Organizational Development
  • Lead, mentor, and scale global teams by defining talent strategies, organizational structures, and capability development plans that support long-term growth and evolving business needs.

  • Build and sustain a heart-led, high-performance culture focused on ownership, innovation, collaboration, and delivery excellence.

Qualifications
Qualifications & Requirements
Experience
  • 12+ years of experience in data engineering, data platforms, or data architecture.

  • 5+ years of experience leading global, distributed technical teams.

  • Proven track record of owning and delivering enterprise-scale data platforms and architecture.

  • Experience operating effectively in complex, matrixed organizations.

Technical Skills
  • Deep expertise in modern data platforms, including Snowflake, dbt Core, Airflow/Astronomer, and AWS. Informatica IICS experience is a plus.

  • Experience with data observability tools such as Monte Carlo or similar platforms.

  • Strong background in data modeling, including physical, semantic, and domain-oriented approaches.

  • Proven experience designing and building scalable batch and real-time data pipelines.

  • Solid understanding of distributed data systems, platform operations, observability, and data quality practices.

Leadership Skills
  • Demonstrated ability to influence senior stakeholders and shape technical and business strategy.

  • Strong capability to translate business needs into scalable technical solutions.

  • Proven experience building and leading high-performing technical teams.

  • Excellent communication, presentation, stakeholder management, and executive relationship-building skills.

Education
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Salary range: $218,600 - $273,100 + eligible bonus + comprehensive benefits