Your Journey at Crowe Starts Here:
At Crowe, we understand that a fulfilling career goes beyond just work. We're committed to helping you achieve a meaningful professional journey and enjoy a balanced life. With a flexible approach to work, you are empowered to deliver impactful results. Our 80-year tradition of innovation across audit, tax, and consulting is an essential part of our ethos. We are continuously investing in AI-driven insights and technology solutions to elevate our services. Join Crowe and help shape the future of our industry.
Job Description:
Join our AI Transformation team dedicated to enhancing the future of human work. By utilizing cutting-edge technology, modern architecture, and industry expertise, we engineer AI-powered solutions that redefine business operations for our clients.
This newly formed team builds upon Crowe's strong AI foundation, expanding the capabilities of our Applied AI / Machine Learning division. By merging Generative AI, Machine Learning, and Software Engineering, we enable our clients to transform their business models through AI, no matter where they stand on their AI journey.
As part of AI Transformation, you will be instrumental in positioning Crowe as a market leader and driving our technology and innovation strategy. The future is powered by AI—help us build it.
About the Team:
- Investment in Expertise. You will have the opportunity to focus deeply on your projects, developing long-lasting technical and strategic mastery while collaborating with developers, product stakeholders, and project managers as a trusted leader.
- Continuous Growth. Our team champions professional development and knowledge-sharing, promoting ongoing growth.
- Work-Life Balance. Our culture values trust and flexibility. We provide unlimited PTO, encourage a flexible remote work arrangement, and foster a supportive environment for sustainable performance.
About the Role:
- Design, develop, and maintain sustainable data pipelines and ETL processes to enable seamless data integration, cleansing, harmonization, and transformation.
- Partner with data scientists, analysts, and software engineers to implement data-driven AI solutions that align with business strategies.
- Utilize advanced tools like Azure Data Factory, Power BI, and SQL databases to create scalable data solutions.
- Implement data fabric architectures for streamlined data access, efficient management, and enhanced performance.
- Proactively seek opportunities for data optimization, quality improvement, and lifecycle automation.
- Support the deployment and integration of AI models while ensuring data quality and compatibility with existing analytics infrastructure.
- Engage with cross-functional stakeholders to clarify data needs and provide timely, impactful analytics and reports.
Required Skills and Experience:
- At least 7 years of experience in data engineering, ETL development, and data pipeline construction.
- Advanced proficiency in SQL, Azure Data Factory, and Power BI.
- Expertise in data cleaning and harmonization techniques as well as complex data integration management.
- Strong grasp of data fabric concepts and relevant implementation experience.
- Hands-on experience with large-scale data pipeline development for AI and analytics initiatives.
- Exceptional communication skills with the capability to convey complex data ideas to non-technical stakeholders.
- Proven success in collaborating within agile, cross-functional team environments.
- Willingness to travel domestically about 80% of the time to satisfy client needs.
- Demonstrated experience in team leadership, mentorship, or people management.
- Experience in guiding projects that highlight senior-level judgment and accountability.
Preferred Skills:
- Experience deploying and managing data solutions in Azure AI, Azure ML, or similar environments.
- Familiarity with DevOps practices related to continuous integration and deployment (CI/CD) for data solutions.
- Certifications in Azure Data Engineering or similar Microsoft credentials (e.g., Azure Data Engineer Associate).
- Strong background in business analytics that aligns technical solutions with strategic business objectives.
- Active engagement in data engineering and AI communities to stay ahead of industry trends.
- Prior experience in professional services or consulting settings.
We expect candidates to embody Crowe's foundational values: Care, Trust, Courage, and Stewardship. Our commitment to ethical behavior and integrity is paramount.
The application deadline for this role is 03/31/2026.
In compliance with federal law, all new hires will need to verify their identity and eligibility to work in the United States and complete the required employment eligibility verification form. Crowe is not sponsoring work authorization at this time.
The salary range for this role reflects various factors involved in making compensation decisions, including skills, experience, training, certificat