Data Science Manager Jobs in Oklahoma (NOW HIRING)

Job Summary
This role develops data pipelines, creates reliable data models, and delivers analytics-ready datasets that enable business intelligence and reporting across the organization. This role also partners with business stakeholders to define a data roadmap, improve data governance and quality, and identify opportunities to expand data-driven decision-making and analytics capabilities

Primary Responsibility: 

• Responsible for owning and advancing the organization''s data ecosystem by designing, building, and maintaining scalable data solutions within Microsoft Fabric and Power BI.
• Own and manage the organization''s data ecosystem within Microsoft Fabric and Power BI.
• Design and maintain scalable data architecture including lake house structures, semantic models, and datasets.
• Develop and maintain data pipelines for ingesting, transforming, and integrating data from multiple systems.
• Build and optimize enterprise Power BI datasets and reports to support decision-making across the organization.
• Develop and maintain data models that support consistent and reliable analytics.
• Establish and maintain data governance, data quality, and documentation standards.
• Create and maintain a long-term data roadmap aligned with organizational strategy and analytics maturity goals.
• Identify opportunities to expand advanced analytics capabilities such as predictive analytics, self-service BI, and automated insights.
• Partner with business leaders and stakeholders to understand data needs and prioritize analytics initiatives.
• Ensure performance, scalability, and reliability of the data platform.
• Implement best practices for data security, access controls, and compliance.
• Support and enable self-service analytics across departments through standardized datasets and semantic models.
• Understanding of Data Loss Prevention (DLP) policies and tools, including implementing and managing data protection controls within Microsoft Fabric, Power BI, and the broader Microsoft ecosystem.
• Monitor and troubleshoot data pipelines, reports, and platform performance.
• Continuously evaluate new capabilities within Microsoft Fabric and Power BI to improve analytics across the organization.

Qualifications:

• Bachelor''s degree in Computer Science, Data Science, or a related field, or equivalent combination of education and experience.
• 5+ years of experience in data engineering, analytics engineering, or business intelligence development.
• 3+ years working with Microsoft data platforms such as Power BI, Azure, or Microsoft Fabric.
• Microsoft Fabric expertise including Lakehouse architecture, Data Factory pipelines, notebooks, and semantic models.
• Advanced Power BI development including data modeling, DAX, report optimization, and enterprise dataset management.
• Strong SQL proficiency for querying, transformation, and performance optimization.
• Data modeling expertise, including star schema, dimensional modeling, and semantic layer design.
• Experience building and managing data pipelines for ingestion, transformation, and orchestration.
• Understanding of modern data architectures, including data lakes, lake houses, and warehouse concepts.
• Experience with ETL/ELT processes and data transformation frameworks.
• Ability to design scalable data platforms that support enterprise analytics and reporting.
• Design and enforce Data Loss Prevention (DLP) policies to safeguard sensitive data, ensure compliance with organizational standards, and prevent unauthorized data access or sharing across the data platform.
• Experience implementing data governance and data quality practices.
• Strong understanding of business intelligence concepts and KPI development.
• Experience integrating data from multiple sources such as ERP, CRM, SaaS platforms, and operational systems.
• Knowledge of data security and access management within Microsoft environments.
• Strong analytical and problem-solving skills with the ability to translate business needs into technical solutions.
• Experience with version control and development best practices.
• Strong communication skills for working with business stakeholders and leadership.

Requirements:

• Experience building or leading a data platform practice, team, or Center of Excellence from the ground up or through a significant growth phase.
• Track record of end-to-end platform ownership: from architecture design through scaled adoption, including driving self-service BI adoption across non-technical business users.
• Knowledge of environmental manufacturing processes and sustainability practices.
• Experience working in a fast-paced, Agile environment.
• Ability to manage multiple priorities and stakeholders effectively.
• Experience coordinating with IT infrastructure, cybersecurity, and enterprise governance processes.

• Health, Dental & Vision Insurance
• Annual Bonus Program
• $350 Annual Wellness Credit
• Flexible Spending Account (FSA)
• 401k with match up to 5%
• Life insurance
• Disability insurance
• 5 days of paid sick leave annually (prorated based on start date)
• 15 days PTO annually (prorated based on start date)