Hybrid Senior Manager, AI and Data Engineering

at Ryan

• Job title: Senior Manager, AI and Data Engineering
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Java, Linux, Python, PyTorch, Scala, Scikit-Learn, Tensorflow
• Location requirements: Hybrid, Dallas, United States

About the role

• Senior Manager overseeing AI/ML solutions and technical leadership in a tax services firm. Responsible for data implementation, team management, and high-performance technology solutions.

Responsibilities

• Overseeing the implementation of technical solutions for the identification of complex patterns in large, high-dimensional/high-frequency data sets.
• Executing and participating in the data vision.
• Building out robust, high-performance technology solutions.
• Mixing strong hands-on technical leadership with the management of matrixed resources and multiple teams.
• Developing code and the skills of the team at large.
• Leading an agile team to design, develop, test, implement, and support highly scalable AI/ML solutions.

Requirements

• 7+ years of professional experience in data science, machine learning, or applied analytics.
• Proven experience leading high-performing teams of data scientists, ML engineers, data engineers, or other data and analytics professionals.
• Hands-on experience designing, building, and deploying enterprise ML solutions to production, including end-to-end model lifecycle ownership (not prototypes only).
• Strong coding experience in Python (required) with experience overseeing or contributing to solutions written in Java, Scala, or C.
• Direct experience building cloud-based data and ML solutions using AWS or Azure.
• Experience designing, deploying, and maintaining production data pipelines.
• Hands-on experience with at least one ML framework, such as TensorFlow, PyTorch, or Scikit-learn.
• Strong system and data architecture skills, including the ability to design ML systems, create data models, develop architecture diagrams, and define system components.
• Experience working in mixed Windows and Linux environments.

Benefits

• 14-Weeks of 100% Paid Leave for New Parents (Adoption Included)
• Monthly Gym Membership Reimbursement OR Gym Equipment Reimbursement
• 401K with Employer Match
• Tuition Reimbursement After One Year of Service
• Fertility Assistance Program
• Four-Week Company-Paid Sabbatical Eligibility After Five Years of Service