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Manager Data Analytics Engineer Jobs in Kentucky

Texas Roadhouse

Analytics Engineer II

Louisville, KY · On-site

Partner with Data Engineering to shape analytics-ready data models * Monitor performance ... Our culture is just one reason why many of our leaders started as servers, managers, and line cooks ...

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 ...

Pwc

Data Engineer - Senior Associate

Louisville, KY

$77K - $202K/yr

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

Belcan

Data Analysis Engineer

Lexington, KY

$65K - $70K/yr

Analyze customer data to identify system issues, providing resolution and analysis summaries ... Experience with Configuration Management Tools such as BitBucket/GIT, Subversion (SVN), Windchill

Pwc

Data Governance- Manager

Louisville, KY

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

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Manager Data Analytics Engineer information

What are the key skills and qualifications needed to thrive as a Manager Data Analytics Engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

How does a Manager Data Analytics Engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What is a Manager Data Analytics Engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What are the most commonly searched types of Data Analytics Engineer jobs in Kentucky? The most popular types of Data Analytics Engineer jobs in Kentucky are:
What are popular job titles related to Manager Data Analytics Engineer jobs in Kentucky? For Manager Data Analytics Engineer jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Kentucky look for? The top searched job categories for Manager Data Analytics Engineer jobs in Kentucky are:
What cities in Kentucky are hiring for Manager Data Analytics Engineer jobs? Cities in Kentucky with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you
Sr. Manager, Data Engineering & Analytics

Sr. Manager, Data Engineering & Analytics

Serve Robotics

Edmonton, KY • On-site, Remote

$211K - $246K/yr

Full-time

Posted 10 days ago

Job description

At Serve Robotics, we're reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It's designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We're looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We Are
We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
Responsibilities
  • Lead the Team: Lead, mentor, and grow a team of data and analytics engineers. This includes hiring, performance management, career development, planning, and setting technical standards.
  • Technical Leadership: Define the data engineering and analytics roadmap, aligned with company goals. This includes prioritizing data platform investments, reporting needs, analytics capabilities, and cross-functional data initiatives.
  • Data Platform Ownership: Oversee the design, reliability, scalability, and governance of the company's data infrastructure, such as data warehouses, data lakes, ETL/ELT pipelines, orchestration systems, semantic layers, and BI tooling.
  • Analytics Delivery: Ensure business stakeholders have accurate dashboards, metrics, reporting, and ad hoc analysis to support decision-making across functions such as product, operations, finance, sales, marketing, and executive leadership.
  • Empowering Self-Service: Make self-service an organization-wide goal by building rich, trusted datasets and enabling access through AI-powered natural language interfaces.
  • Data Quality and Governance: Establish standards for data accuracy, lineage, documentation, access controls, privacy, security, and compliance.

Qualifications
  • 6+ years of professional experience in data engineering and analytics including 2+ years experience leading teams of Sr. Data/Analytics Engineers.
  • Data leadership experience: Proven experience managing data engineering, analytics engineering, BI, or analytics teams, including hiring, coaching, performance management, and roadmap planning.
  • Strong technical foundation: Deep understanding of data warehouses, data lakes, ETL/ELT pipelines, orchestration, data modeling, BI platforms, semantic layers, and data quality practices.
  • Experience with modern data stacks: Hands-on experience with tools such as Snowflake, BigQuery, Redshift, Databricks, dbt, Airflow, Fivetran, Looker, Tableau, Power BI, or similar platforms.
  • Cross-functional, business-oriented partnership: Strong track record partnering with executives and teams across product, operations, finance, engineering, sales and marketing, translating business goals into data strategy, dashboards and analytics products that improve decision-making.
  • AI-powered self-service analytics experience: Demonstrated ability to build trusted, governed data products and enable organization-wide access through natural language or AI-powered analytics interfaces, with strong controls for accuracy, security, privacy, compliance and usability.
  • Data governance expertise: Experience establishing standards for data quality, documentation, access controls, privacy, security, auditability, metric definitions, and trusted data products, including SOX, SOC2 compliance and compliance with international data policies and regulations (e.g., GDPR, data residency requirements).
  • Education or equivalent experience: Bachelor's degree in computer science, data science, engineering, statistics, mathematics, information systems, or a related field. Advanced degrees are a plus.

*Please note: The listed base salary range applies to candidates based in the US. Compensation may vary depending on location, experience, and role alignment. We are open to qualified candidates working remotely in Canada
  • Canada - ALL: $179,976 - CAD- $221,828 CAD

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