AI Data Engineering Manager

Crowe•Washington, DC

About The Position

At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry. Job Description: About Crowe AI Transformation Everything we do is about making the future of human work more purposeful. We do this by leveraging state-of-the-art technologies, modern architectures, and industry experts to create AI-powered solutions that transform the way our clients do business. The new 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. 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. 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.

Requirements

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.
Would require readiness 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

Nice To Haves

Experience deploying and managing data solutions within Azure AI, Azure ML, or related AI/ML environments.
Familiarity with DevOps practices, especially in relation to continuous integration and deployment (CI/CD) for data solutions.
Certifications in Azure Data Engineering or related Microsoft certifications (e.g., Azure Data Engineer Associate).
Strong background or experience 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.

Responsibilities

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.