Cisco Engineering Program Manager AI/ML 

United States, Georgia, Atlanta 

366004993

Lead end-to-end program management activities for a diverse range of software programs, working closely with Product Management to define program scope, objectives, and deliverables.

Lead the product-release plans and set expectations for delivery of new functionalities.

Bring the right people together to identify risks and dependencies, define and adjust plans to mitigate and manage, and document the shared understanding

Proactively identify and mitigate program risks, managing issues that may arise during program execution.

Monitor program progress and ensure that program deliverables are of the highest quality, meeting, or exceeding client expectations.

Effectively communicate program status, updates, and potential roadblocks to both internal teams and management.

Use your knowledge to provide valuable insights and recommendations during program planning and execution.

Lead program gates to ensure compliance, alignment, and executive transparency

Drive day-to day program activities to meet overall program objectives

Ensure clear communication of status, roadblocks and needs of the team, as well as recognizing and celebrating successes

Resolve conflicts by focusing on shared purpose and mutual understanding

Drive retrospectives and measurable process improvement efforts

5+ years in a Program Management position, with experience in leading and managing programs

8+ years of experience in the SaaS environment

Experience working on AI/ML projects

Knowledge AI assistance or AI defense and standard processes

Bachelors or Master’s degree or equivalent experience in Engineering, Computer Science or related technical field

Consistent track record of successful sophisticated program management

Fine-tuned understanding of and expertise in Lean Enterprise / Agile / Kanban practices and supporting tools

Ability to understand, discuss / communicate technical concepts, with both technical and non-technical individuals

Able to communicate well with cross-functional team members, be able to efficiently collaborate with and influence team members to achieve project goals, and contribute positively to the engineering community environment

Must have strong co-ordination and facilitation skills and be willing to work with geo-distributed teams

Comfortable interpreting data to translate and present as business insights

Experience with collaboration tools, defect tracking tools, data visualization applications, and business applications