Crowe
Overview
Join to apply for the
AI Data Engineering Manager
role at
Crowe . The application deadline for this role is 12/31/2025. Crowe is an equal opportunity employer and complies with applicable employment laws. We are seeking a senior data engineering leader to drive data pipelines, data quality, and AI-enabled data solutions within Crowe's AI Transformation initiative. About Crowe AI Transformation
Everything we do is about making the future of human work more purposeful. We leverage state-of-the-art technologies, modern architectures, and industry experts to create AI-powered solutions that transform how our clients do business. The AI Transformation team will build on Crowe’s established AI foundation, combining Generative AI, Machine Learning, and Software Engineering to empower clients to transform their business models through AI. About The Team
We invest in expertise. You’ll have the time, space, and support to go deep in your projects and build lasting technical and strategic mastery. You’ll work with developers, product stakeholders, and project managers as a trusted leader and domain expert. We believe in continuous growth. Our team is committed to professional development and knowledge-sharing. We protect balance. Our distributed team culture is grounded in trust and flexibility. We offer unlimited PTO, a flexible remote work policy, and a supportive environment that prioritizes sustainable, long-term performance. Role Responsibilities
Design, develop, and maintain robust data pipelines and ETL processes that enable seamless data integration, cleansing, harmonization, and transformation. Collaborate with data scientists, analysts, and software engineers to implement data-driven AI solutions aligned with business objectives. Leverage Azure Data Factory, Power BI, SQL databases, and related tools to build scalable data solutions. Implement and maintain data fabric architectures to ensure streamlined data access, efficient management, and enhanced performance. Identify opportunities for data optimization, quality improvement, and automation across the data lifecycle. Facilitate deployment and integration of AI models, ensuring data quality and compatibility with analytics infrastructure. Engage with cross-functional stakeholders to understand data needs and deliver timely, impactful analytics and reports. Required Skills and Experience
Minimum of 7 years of experience in data engineering, ETL development, and data pipeline creation. Strong proficiency in SQL, Azure Data Factory, and Power BI. Expertise in data cleaning, harmonization techniques, and managing complex data integrations. Solid understanding of data fabric concepts and related implementations. Hands-on experience developing and maintaining large-scale data pipelines for AI and analytics projects. Excellent communication skills with the ability to translate complex data concepts to non-technical stakeholders. Proven ability to collaborate effectively in agile, cross-functional teams. Willingness to travel domestically approximately 80% of the time to meet client needs. Experience leading teams, mentoring others, or people management. Experience guiding projects with senior-level judgment and accountability. Preferred Skills
Experience deploying and managing data solutions within Azure AI, Azure ML, or related AI/ML environments. Familiarity with DevOps practices, including CI/CD for data solutions. Azure Data Engineer certification or related Microsoft certifications. Strong background in business analytics and aligning technical solutions with business goals. Active participation in data engineering and AI communities. Experience in professional services or consultancy environments. Other Information
We expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. These values define who we are and guide ethical, integrity-driven behavior. Our benefits and growth opportunities are designed to support a diverse and inclusive culture. Crowe is committed to equal employment opportunities and compliance with applicable laws. Where applicable, Crowe will consider qualified applicants in a manner consistent with state and local laws and regulations. Job Functions and Locations
Job function: Engineering and Information Technology Industries: Accounting, Financial Services, and IT Services and IT Consulting Additional related opportunities: various engineering and leadership roles in Tampa, St. Petersburg, and surrounding areas.
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Join to apply for the
AI Data Engineering Manager
role at
Crowe . The application deadline for this role is 12/31/2025. Crowe is an equal opportunity employer and complies with applicable employment laws. We are seeking a senior data engineering leader to drive data pipelines, data quality, and AI-enabled data solutions within Crowe's AI Transformation initiative. About Crowe AI Transformation
Everything we do is about making the future of human work more purposeful. We leverage state-of-the-art technologies, modern architectures, and industry experts to create AI-powered solutions that transform how our clients do business. The AI Transformation team will build on Crowe’s established AI foundation, combining Generative AI, Machine Learning, and Software Engineering to empower clients to transform their business models through AI. About The Team
We invest in expertise. You’ll have the time, space, and support to go deep in your projects and build lasting technical and strategic mastery. You’ll work with developers, product stakeholders, and project managers as a trusted leader and domain expert. We believe in continuous growth. Our team is committed to professional development and knowledge-sharing. We protect balance. Our distributed team culture is grounded in trust and flexibility. We offer unlimited PTO, a flexible remote work policy, and a supportive environment that prioritizes sustainable, long-term performance. Role Responsibilities
Design, develop, and maintain robust data pipelines and ETL processes that enable seamless data integration, cleansing, harmonization, and transformation. Collaborate with data scientists, analysts, and software engineers to implement data-driven AI solutions aligned with business objectives. Leverage Azure Data Factory, Power BI, SQL databases, and related tools to build scalable data solutions. Implement and maintain data fabric architectures to ensure streamlined data access, efficient management, and enhanced performance. Identify opportunities for data optimization, quality improvement, and automation across the data lifecycle. Facilitate deployment and integration of AI models, ensuring data quality and compatibility with analytics infrastructure. Engage with cross-functional stakeholders to understand data needs and deliver timely, impactful analytics and reports. Required Skills and Experience
Minimum of 7 years of experience in data engineering, ETL development, and data pipeline creation. Strong proficiency in SQL, Azure Data Factory, and Power BI. Expertise in data cleaning, harmonization techniques, and managing complex data integrations. Solid understanding of data fabric concepts and related implementations. Hands-on experience developing and maintaining large-scale data pipelines for AI and analytics projects. Excellent communication skills with the ability to translate complex data concepts to non-technical stakeholders. Proven ability to collaborate effectively in agile, cross-functional teams. Willingness to travel domestically approximately 80% of the time to meet client needs. Experience leading teams, mentoring others, or people management. Experience guiding projects with senior-level judgment and accountability. Preferred Skills
Experience deploying and managing data solutions within Azure AI, Azure ML, or related AI/ML environments. Familiarity with DevOps practices, including CI/CD for data solutions. Azure Data Engineer certification or related Microsoft certifications. Strong background in business analytics and aligning technical solutions with business goals. Active participation in data engineering and AI communities. Experience in professional services or consultancy environments. Other Information
We expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. These values define who we are and guide ethical, integrity-driven behavior. Our benefits and growth opportunities are designed to support a diverse and inclusive culture. Crowe is committed to equal employment opportunities and compliance with applicable laws. Where applicable, Crowe will consider qualified applicants in a manner consistent with state and local laws and regulations. Job Functions and Locations
Job function: Engineering and Information Technology Industries: Accounting, Financial Services, and IT Services and IT Consulting Additional related opportunities: various engineering and leadership roles in Tampa, St. Petersburg, and surrounding areas.
#J-18808-Ljbffr