Must Haves:

• Bachelor’s degree in IT related field
• 12 years of IT experience, 6 years managing direct reports
• Heavy experience with CI/CD concepts/tools such as Jenkins, Git, Terraform, Ansible, or Puppet.
• Understanding of cloud-native development and cloud integration patterns .
• Must have the ability to lead and manage an enterprise scale cloud-based ML operations function
• Understanding of cyber security and information risk concepts

Preferred Qualifications:

• Experience with enterprise data tools and platforms such as Snowflake, MicroStrategy, Informatica, Fivetran, Business Objects, Tableau, Dataiku.
• Background in Data Science.
• ITIL, Cloud, or PMP Certification.

Day-To-Day:

Insight Global is seeking an AI/ML Ops Engineering Manager for one of our largest clients in Cleveland, Ohio. This role collaborates with Enterprise Architecture, Infrastructure & Operations, and Enterprise Data & Insights to define, prioritize, and execute technical roadmaps for AI / MLOps platforms. This individual will be a key player in assisting with the company’s AI strategy, setting development goals for individuals to ensure that all members are contributing to the broader goals of the organization. They will be directly managing three engineers, and should portray servant leadership, strong decision-making and team management skills, and should be willing to help remote organizational blockers on behalf of the team.

Additional Responsibilities Include:

• Collaborate with IT Leadership, engineers, and architects to create, promote, and execute a shared vision and roadmap for Data Technology platforms.
• Collaborate with Data Technology partners on aligning priorities to remove blockers to team velocity.
• Meet with clients, peers, and decision makers to understand goals and resolve conflicts.
• Ensure tracking and management of strategies and plans is in alignment with organizational objectives; provide visibility to these plans.
• Facilitate and oversee team goals.
• Ensure a plan is in place for key individuals and specific skillsets to ensure that sufficient staff depth is in place to meet the needs of the business.
• Determine staffing needs and skill requirements within teams.
• Create and maintain development plans for each direct report, including training, skills assessment, career planning, and goal planning.
• Conduct activities such as staffing, performance and resource management, and strategic direction of the team.
• Set employee objectives, monitor and evaluate performance, and provide feedback and mentoring