Crowe
Overview
AI Data Engineering Manager role at Crowe. This description consolidates the responsibilities, qualifications, and context for the position within Crowe's AI Transformation and Technology teams. 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 the way our clients do business. The AI Transformation team will build on Crowe’s established AI foundation, furthering the capabilities of our Applied AI / Machine Learning team. By combining Generative AI, Machine Learning and Software Engineering, this team empowers Crowe clients to transform their business models through AI, irrespective of their current AI adoption stage. As a member of AI Transformation, you will help distinguish Crowe in the market and drive the firm’s technology and innovation strategy. The future is powered by AI, come build it with us. 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, working 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. About The Role
Design, develop, and maintain robust data pipelines and ETL processes that enable the seamless integration, cleansing, harmonization, and transformation of data. Collaborate closely with data scientists, analysts, and software engineers to implement data-driven AI solutions that align with strategic business objectives. Leverage advanced tools and platforms including Azure Data Factory, Power BI, and SQL databases to build scalable data solutions. Implement and maintain data fabric architectures to ensure streamlined data access, efficient management, and enhanced performance. Proactively identify opportunities for data optimization, quality improvement, and automation across the data lifecycle. Facilitate the deployment and integration of AI models, ensuring data quality and compatibility with established analytics infrastructure. Engage regularly 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. Demonstrated expertise in data cleaning, harmonization techniques, and managing complex data integrations. Solid understanding of data fabric concepts and experience with 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 clearly to non-technical stakeholders. Proven track record of collaborating effectively in agile, cross-functional team environments. Willingness to travel domestically approximately 80% of the time to meet client needs. Proven experience in team leadership, mentorship, or people management. Experience guiding projects or initiatives that showcase 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, especially CI/CD for data solutions. Certifications in Azure Data Engineering or related Microsoft certifications (e.g., Azure Data Engineer Associate). Strong background in business analytics, enhancing the strategic alignment of technical solutions. Active participation or interest in data engineering and AI communities, keeping ahead of emerging trends and technologies. Previous experience working within professional services or consultancy environments. Compensation and Benefits
The wage range for this role takes into account a wide range of factors, including skill sets, experience, training, licensure and certifications, and business needs. A reasonable estimate of the current range is $104,500.00 - $208,300.00 per year. We offer a comprehensive total rewards package and an exceptional people experience. Our benefits are designed to support our people and their families as part of Crowe’s culture of care. Other Details
We expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. These values define who we are and guide ethical conduct and integrity in all actions. The application deadline for this role is 12/31/2025. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Crowe is not sponsoring for work authorization at this time. Our equal employment opportunity statement: Crowe LLP provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type. Crowe LLP does not accept unsolicited candidates, referrals or resumes from staffing agencies without a pre-existing agreement. Crowe will consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local laws.
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AI Data Engineering Manager role at Crowe. This description consolidates the responsibilities, qualifications, and context for the position within Crowe's AI Transformation and Technology teams. 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 the way our clients do business. The AI Transformation team will build on Crowe’s established AI foundation, furthering the capabilities of our Applied AI / Machine Learning team. By combining Generative AI, Machine Learning and Software Engineering, this team empowers Crowe clients to transform their business models through AI, irrespective of their current AI adoption stage. As a member of AI Transformation, you will help distinguish Crowe in the market and drive the firm’s technology and innovation strategy. The future is powered by AI, come build it with us. 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, working 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. About The Role
Design, develop, and maintain robust data pipelines and ETL processes that enable the seamless integration, cleansing, harmonization, and transformation of data. Collaborate closely with data scientists, analysts, and software engineers to implement data-driven AI solutions that align with strategic business objectives. Leverage advanced tools and platforms including Azure Data Factory, Power BI, and SQL databases to build scalable data solutions. Implement and maintain data fabric architectures to ensure streamlined data access, efficient management, and enhanced performance. Proactively identify opportunities for data optimization, quality improvement, and automation across the data lifecycle. Facilitate the deployment and integration of AI models, ensuring data quality and compatibility with established analytics infrastructure. Engage regularly 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. Demonstrated expertise in data cleaning, harmonization techniques, and managing complex data integrations. Solid understanding of data fabric concepts and experience with 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 clearly to non-technical stakeholders. Proven track record of collaborating effectively in agile, cross-functional team environments. Willingness to travel domestically approximately 80% of the time to meet client needs. Proven experience in team leadership, mentorship, or people management. Experience guiding projects or initiatives that showcase 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, especially CI/CD for data solutions. Certifications in Azure Data Engineering or related Microsoft certifications (e.g., Azure Data Engineer Associate). Strong background in business analytics, enhancing the strategic alignment of technical solutions. Active participation or interest in data engineering and AI communities, keeping ahead of emerging trends and technologies. Previous experience working within professional services or consultancy environments. Compensation and Benefits
The wage range for this role takes into account a wide range of factors, including skill sets, experience, training, licensure and certifications, and business needs. A reasonable estimate of the current range is $104,500.00 - $208,300.00 per year. We offer a comprehensive total rewards package and an exceptional people experience. Our benefits are designed to support our people and their families as part of Crowe’s culture of care. Other Details
We expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. These values define who we are and guide ethical conduct and integrity in all actions. The application deadline for this role is 12/31/2025. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Crowe is not sponsoring for work authorization at this time. Our equal employment opportunity statement: Crowe LLP provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type. Crowe LLP does not accept unsolicited candidates, referrals or resumes from staffing agencies without a pre-existing agreement. Crowe will consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local laws.
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