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Senior Data Science Manager Jobs in Kentucky (NOW HIRING)

Sr. Data, Reporting Analyst

Louisville, KY · On-site

$78K - $99K/yr

Support testing, deployment, validation, and change management activities across reporting ... Bachelor's degree in computer science or related field, or comparable work experience * 5+ year ...

Industry/Sector Not Applicable Specialism Data Science Management Level Director & Summary The Opportunity As an AI & GenAI Data Scientist-Director, you will leverage advanced technologies and ...

$190 - $220/hr

Position Summary Join our dynamic Investment Data Science Team as a Data Scientist and immerse ... Manage third‑party resources, integrating external expertise into our internal framework.

Data Scientist

Lexington, KY · On-site

$120 - $180/hr

... senior leadership. Cross-Functional Leadership * Partner closely with Ecommerce, Merchandising, Finance, Marketing, Supply Chain, Product Management, and Data Science teams. * Translate business ...

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

Job Summary As a Senior Data Engineer, you will play a key role in building and evolving the data ... Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent ...

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

Job Summary As a Senior Data Engineer, you will play a key role in building and evolving the data ... Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent ...

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

Job Summary As a Senior Data Engineer, you will play a key role in building and evolving the data ... Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent ...

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

Job Summary As a Senior Data Engineer, you will play a key role in building and evolving the data ... Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent ...

... management problems in aviation involving complex trade-offs under uncertainty. You will ... Lead complex data science projects from conception to implementation, working with various ...

Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ... Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ...

Showing results 21-40

Senior Data Science Manager information

See Kentucky salary details

$43K

$110.4K

$182K

How much do senior data science manager jobs pay per year?

As of Aug 9, 2026, the average yearly pay for senior data science manager in Kentucky is $110,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,200.00 and $129,400.00 per year, depending on experience, location, and employer.

How does a senior data science manager typically collaborate with cross-functional teams to drive business outcomes?

A Senior Data Science Manager often works closely with stakeholders from product, engineering, marketing, and business operations to align data-driven initiatives with organizational goals. They are responsible for translating complex analytical findings into actionable insights and ensuring that data science projects address real business needs. Effective collaboration requires strong communication skills, the ability to prioritize multiple projects, and fostering a culture of knowledge sharing across teams. By coordinating with various departments, Senior Data Science Managers help ensure that data-driven strategies lead to measurable business impact.

What does a senior data science manager do?

A Senior Data Science Manager leads a team of data scientists to develop analytical solutions that drive business decisions and strategy. They oversee the end-to-end process of data collection, model development, and deployment, ensuring projects align with organizational goals. Additionally, they mentor team members, collaborate with stakeholders across departments, and help set the vision for data-driven initiatives. Their role requires both technical expertise and strong leadership skills.

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

To thrive as a Senior Data Science Manager, you need strong expertise in data analysis, statistical modeling, and machine learning, typically supported by an advanced degree in a quantitative field and significant experience leading data teams. Familiarity with tools such as Python, R, SQL, cloud platforms (e.g., AWS, Azure), and data visualization software is essential, along with knowledge of project management methodologies. Outstanding leadership, communication, and strategic thinking skills are crucial for aligning data initiatives with business goals and fostering team development. These abilities are vital for driving impactful analytics projects, delivering actionable insights, and ensuring the success of data-driven strategies within an organization.

What is the difference between Senior Data Science Manager vs Data Scientist?

AspectSenior Data Science ManagerData Scientist
CredentialsAdvanced degree (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, strategic planningAnalyzes data, builds models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareEntry to mid-level roles across industries

The main difference is that a Senior Data Science Manager oversees data teams and strategic initiatives, while a Data Scientist focuses on analyzing data and building models. The manager role involves leadership and project management, whereas the Data Scientist role is more technical and hands-on.

What cities in Kentucky are hiring for Senior Data Science Manager jobs? Cities in Kentucky with the most Senior Data Science Manager job openings:

Sr. Data, Reporting Analyst

Medvantx Inc

Louisville, KY • On-site

$78K - $99K/yr

Full-time

Posted 15 days ago


Medvantx rating

7.5

Company rating: 7.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

32nd of 112 rated pharmacies


Job description

As a Sr. Data & Reporting Analyst, your primary focus will be on transforming complex data into actionable business insights through advanced reporting, analytics, and visualization solutions. Partners with business stakeholders to gather requirements, develop and maintain dashboards and reports, ensure data accuracy and integrity, and support strategic decision-making. This role utilizes tools such as Power BI, SQL, and data modeling techniques to identify trends, measure performance, and deliver meaningful analytics that drive operational efficiency and business growth. Serves as a subject matter expert in reporting processes and provides guidance on best practices for data analysis and reporting.

Key Responsibilities

  • Design, develop, and maintain complex reporting solutions using T-SQL, SQL Server Reporting Services (SSRS), SQL Report Builder, and Power BI.
  • Write, optimize, and troubleshoot T-SQL queries, stored procedures, views, functions, and scripts to support reporting, analytics, and business intelligence initiatives.
  • Develop and support SSIS packages for data extraction, transformation, and loading (ETL) processes across multiple business systems.
  • Collaborate with business stakeholders to gather reporting requirements and translate them into scalable technical reporting solutions.
  • Develop, maintain, and enhance operational, financial, and executive dashboards utilizing Power BI, SSRS, and SQL-based reporting tools.
  • Analyze and validate data from multiple sources to ensure data accuracy, consistency, and integrity across reporting platforms.
  • Perform root cause analysis and resolve complex data, reporting, and system issues through technical investigation and data validation.
  • Support enterprise data warehouse and data integration initiatives by working closely with Data Engineers and Database Administrators.
  • Create and maintain data models, report datasets, database objects, and semantic layers to support self-service reporting capabilities.
  • Monitor and optimize report performance, query execution, and database efficiency to improve scalability and end-user experience.
  • Support testing, deployment, validation, and change management activities across reporting environments.
  • Identify and implement opportunities for reporting automation, standardization, and process improvement.
  • Present KPIs, trends, insights, and recommendations to business and leadership stakeholders.
  • Ensure compliance with data governance, security, and reporting standards.
  • Design and implement monitoring, alerting, and health-check processes to proactively identify data quality, reporting, and system performance issues.
  • Establish and monitor operational metrics, reporting SLAs, and service health indicators.
  • Build strong partnerships with internal stakeholders, leadership, and external clients to support strategic and operational decision-making.
  • Drive KPI standardization, reporting governance, visualization best practices, and enterprise reporting frameworks.
  • Communicate reporting releases, enhancements, bug fixes, and data definition changes while facilitating stakeholder feedback and prioritizing improvements.


Skills & Qualification

  • Bachelor’s degree in computer science or related field, or comparable work experience
  • 5+ year's experience in a software engineering, development operations engineering, database administration, or product development role. Advanced proficiency in Microsoft SQL Server, including T-SQL development and performance tuning.
  • Experience developing reports with SQL Server Reporting Services (SSRS) and SQL Report Builder.
  • Experience designing and supporting SSIS ETL packages and data integration processes.
  • Strong experience with Power BI, including data modeling, DAX, and dashboard development.
  • Knowledge of data warehousing concepts, dimensional modeling, and star schema design.
  • Experience working with Azure SQL, Azure Data Factory, or cloud-based data platforms is preferred.
  • Familiarity with source control, release management, and Agile/Scrum methodologies.
  • 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: sitting, using a computer, keyboard, telephone, etc.
  • Reasonable accommodation can be made to enable employee to perform the essential job duties.


Medvantx is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related conditions), sexual orientation, gender identity, gender expression, age, veteran or disability status, or other protected characteristics.


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