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Manager Data Analytics Engineer Jobs in Oklahoma

AAON, Inc.

Data and Analytics AI Engineer

Tulsa, OK · On-site

$104K - $125K/yr

The Data and Analytics AI Engineer is responsible for designing, building, and supporting ... Implement security, identity and access management, and compliance requirements. * Develop ...

AAON, Inc.

Data and Analytics AI Engineer

Tulsa, OK

$104K - $125K/yr

The Data and Analytics AI Engineer is responsible for designing, building, and supporting ... Implement security, identity and access management, and compliance requirements. * Develop ...

Pwc

Data Engineer - Senior Associate

Oklahoma City, OK · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Pwc

Data Engineer - Senior Associate

Tulsa, OK · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

mytfcuhr

Data Engineer I,II,III, SR

Oklahoma City, OK · On-site

$106K - $133K/yr

Building and maintaining scalable data pipelines and infrastructure that support analytics ... Ability to manage multiple projects, priorities, and deadlines in a dynamic environment.

Pwc

Data Strategy-Manager

Tulsa, OK

$99K - $232K/yr

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

Pwc

Data Strategy-Manager

Oklahoma City, OK · On-site

$99K - $232K/yr

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

Pwc

Data Governance- Manager

Tulsa, OK

$99K - $232K/yr

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

Pwc

Data Governance- Manager

Oklahoma City, OK · On-site

$99K - $232K/yr

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

Credit Agricole CIB

$125K - $150K/yr

... Management: Create and maintain detailed procedures, controls, and metric dictionaries ensuring regulatory alignment Identify golden sources and source data systems to address reporting needs and ...

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Showing results 21-40

All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Oklahoma

Manager Data Analytics Engineer information

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.

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 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.

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

Data and Analytics AI Engineer

AAON, Inc.

Tulsa, OK • On-site

$104K - $125K/yr

Full-time

Posted 12 days ago

AAON rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

174th of 487 rated machine equipment manufacturers

Job description

Job Description:
The Data and Analytics AI Engineer is responsible for designing, building, and supporting enterprise data, analytics, automation, and artificial intelligence solutions that enable business growth and operational excellence. This role serves as the technical bridge between business requirements and modern data platforms, delivering scalable data pipelines, database and reporting solutions, enterprise application integrations, and intelligent automation capabilities. The individual will work closely with business stakeholders, analysts, and application teams to develop integrated solutions leveraging SQL Server, cloud technologies, data engineering best practices, and modern analytics and AI platforms. The ideal candidate combines deep expertise in databases, integration, and business intelligence with a strong understanding of data modeling, ETL processes, reporting, and data governance.
Essential Job Duties and Responsibilities:
Data Engineering & Integration
  • Design, develop, and maintain enterprise data pipelines, data models, and integrations across ERP, CRM, HR, finance, and manufacturing systems.
  • Build and optimize ETL/ELT processes for efficient data ingestion, transformation, and storage.
  • Develop, monitor, and support a portfolio of integrations between internal systems and external providers.
  • Lead data migration and consolidation efforts to modernize or retire legacy applications.

Database Architecture & Administration
  • Architect, administer, and optimize SQL Server and other relational database environments supporting enterprise applications.
  • Ensure database performance, reliability, security, and availability across platforms.
  • Support audit and compliance activities, including evidence gathering and controls documentation (e.g., SOX).

Analytics & Business Intelligence
  • Develop enterprise reporting and dashboards using Power BI, SSRS, and related tools.
  • Partner with business units to define KPIs, gather requirements, and translate them into technical specifications.
  • Build self-service BI capabilities and optimize datasets, semantic models, and reporting performance.

AI & Intelligent Automation
  • Identify opportunities to eliminate manual processes through automation using Power Automate and related technologies.
  • Support development and deployment of AI, machine learning, and generative AI solutions as the enterprise platform matures.
  • Evaluate emerging AI and automation technologies and recommend adoption opportunities.

Platform Engineering & Operations
  • Support the Azure Data Platform, Microsoft Fabric, and related cloud data services.
  • Implement security, identity and access management, and compliance requirements.
  • Develop technical documentation, data lineage, and operational runbooks.

Collaboration & Leadership
  • Collaborate with business leaders to understand strategic objectives and translate them into technical solutions.
  • Mentor analysts and junior engineers and participate in architecture and governance reviews.

Education and Experience Requirements:
  • Bachelor's degree in Computer Science, Mathematics, Information Systems, Data Science, or related field, or relevant experience.
  • 10+ years of experience in data development, database administration, business intelligence, or enterprise integration roles.
  • Expert-level proficiency in SQL Server and T-SQL; experience with Oracle or other relational database platforms.
  • Proven experience developing and supporting large portfolios of enterprise application integrations, both internal and with third-party providers.
  • Hands-on experience with BI and reporting platforms (e.g., SSRS, Power BI, Tableau).
  • Experience supporting ERP and CRM platforms (e.g., Microsoft Dynamics), including migration and consolidation projects.
  • Proficiency in one or more programming languages (e.g., C#, Python).
  • Experience with data governance, security, and audit compliance practices.
  • Working knowledge of cloud platforms (Azure preferred) and modern data architectures.
  • Strong analytical thinking, problem-solving, and communication skills.

Preferred Skills:
  • Experience with Microsoft Fabric, Azure Data Factory, or data lake/lakehouse architectures.
  • Experience with Python and Spark/PySpark for large-scale data processing.
  • Exposure to generative AI technologies (e.g., Azure OpenAI, Copilot Studio, retrieval-augmented generation, AI agents).
  • Experience with Power Platform and Power Automate workflow development.
  • Experience with CI/CD pipelines and version control tools (e.g., Git, Azure DevOps).
  • Microsoft Azure, Fabric, or Power Platform certifications.
  • Experience supporting manufacturing or industrial operations.
  • Experience leading, managing, or mentoring technical teams.

Knowledge, Skills, and Abilities:
  • Attention to detail and data accuracy
  • Systems thinking and technical leadership
  • Effective communication with technical and non-technical stakeholders
  • Business partnership and customer focus
  • Time management and project coordination
  • Continuous learning and adaptability

Work Environment:
While performing the duties of this job the employee will work in a climate-controlled office environment. May occasionally meet in the manufacturing facility and be exposed to:
  • Humidity, loud noises, dirt
  • Varying temperatures
  • Sheet Metal
  • Forklift traffic

Physical Demands:
  • Lift up to 10 lbs.
  • Occasional climbing
  • Occasional stooping
  • Sitting for prolonged periods

Disclaimer:
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. This job description is not an exhaustive list of all functions that the employee may be required to perform, and the employee may be required to perform additional functions. The company reserves the right to revise this job description at any time. The employee must be able to perform the essential functions of the position satisfactorily. If requested, reasonable accommodation may be made to enable employees with disabilities to perform the essential functions of the job, absent undue hardship.

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