Job DescriptionYour RoleThe Advanced Analytics team is responsible for managing AI at Stellarus. The Senior Manager of AI Cloud Engineering will report to the Director of Advanced Analytics. In this role you will lead strategic initiatives to enhance enterprise analytics capabilities through automation, AI-driven solutions, and advanced data platforms. This role ensures scalable, secure, and innovative solutions that support organizational goals.
ResponsibilitiesYour WorkIn this role, you will:
- Provide day-to-day oversight of a team of Automation and Tools managers and Engineers.
- Work with other Automation and Tools Managers to help build the Automation strategies across the organization.
- Work with other Sr Managers in IT and Business on common goals.
- Partner with IT and Business leaders to define future tools needs based upon IT and Business initiatives.
- Create and coordinate training for the IT organization on tools, including Azure Cognitive Services and Databricks.
- Lead the design and implementation of automation strategies across the organization, leveraging Azure Cognitive Services for AI-powered workflows and Databricks.
- Partner with IT and business leaders to define future tools needs based on organizational initiatives, including integration of cognitive APIs and predictive modeling platforms
- Work with the team on scripting using IaC, while acting as a subject matter expert.
- Foster a culture of innovation, continuous learning, and collaboration within the team.
QualificationsYour Knowledge and Experience- Requires a college degree or equivalent experience and minimum 10-year prior relevant experience, including 4 years of management experience.
- Requires practical knowledge in leading and managing the execution of processes, projects, and tactics within an area.
- Requires advanced knowledge and skills including technical or functional expertise, business acumen, financial analysis skills, risk management, delegation skills, critical thinking, and decision-making skills.
- Advanced knowledge of cloud architecture, automation frameworks, and integration of cognitive APIs.
- Strong programming/scripting experience (e.g., Python, PowerShell) and familiarity with infrastructure-as-code and CI/CD concepts (Terraform).
- Significant experience managing and optimizing Databricks environments for data engineering, analytics, and machine learning workloads.
- Knowledge and experience with network principles, architecture, and security concepts.
HybridThis role requires employees to be in-office based on our hybrid workplace model, balancing purposeful in-person collaboration with flexibility. For most teams, this means coming into the office two days each week.
Employees living more than 50 miles from an office location will work with their manager to determine in-office time based on business need.
Physical Requirements:Office Environment - roles involving part to full time schedule in Office Environment. Based in our physical offices and work from home office/deskwork - Activity level: Sedentary, frequency most of work day.
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