Project Manager - AI/ML

Overview

Trissential’s a trusted partner for end-to-end quality services and management consulting for digital transformation. As a part of our parent company Expleo, we’re a global organization partnering with major corporations and leading non-profits in over 30 countries. Guided by our mission and values, Trissential puts people at the heart of our organization.

Come join an experience. Add your talent to a team of forward-thinking game changers that make an impact by driving innovative solutions.

Trissential is currently seeking a Project Manager - AI/ML to join our dynamic team in Rochester, MN (Remote).

Responsibilities

• Leads projects of very large size and/or high complexity, and/or multiple projects of mixed complexity levels and sizes.
• May provide support to one or more projects of high complexity as part of a program or portfolio team.
• Manages project with budget responsibility up to (USD)5 million, and may require matrix supervision of staff from other IT departments and divisions, and contractor/vendor resources.
• Responsible for achieving project objectives and completion on time, on budget, and in conformance to client enterprise, departmental, and IT methodologies and practices as required.
• Solicits technological input from senior technical resources assigned to their project team(s), and facilitates technology problem-solving activities.
• Works directly with institutional committees and oversight bodies to understand priorities, develop project action plans, facilitate approvals, and work across organizational boundaries to develop and/or implement project proposals that meet the objectives of those groups.
• Supports strategic planning and execution of multi-year initiatives that may involve multiple inter-relationships and complexities, requiring the development and execution of complex communication and management plans to achieve.
• Makes judgments and takes any reasonable action required to accomplish agreed to project objectives under general guidance.
• Serves as subject matter expert regarding both departmental and institutional project management practices, methods and standards.
• Leads the ongoing adoption and continued evolution of a Project Focused Culture within the Information Technology department.
• Manages multiple competing objectives and communicates complex technical information in clear and unambiguous terms to management and end user personnel.
• Strictly adheres to budget management and guidelines of both the Information Technology department and the institution.
• Performs additional job-related functions as detailed by immediate supervisor.

Qualifications

• Bachelor’s Degree and a minimum of 10 years’ experience managing projects ranging from simple to difficult complexity while demonstrating increasing scope and depth of responsibilities, and involving multiple technological environments and/or business areas that IT supports, with demonstrated competency in the application of PMI Process Groups and Knowledge Areas OR
• Master’s Degree with a minimum of 7 years’ experience managing projects involving Information Technology and/or Healthcare disciplines, ranging from simple to difficult complexity while demonstrating increasing scope and depth of responsibilities, and involving multiple technological environments and/or business areas that IT supports, with demonstrated competency in the application of the PMI Process Groups and Knowledge Areas.

Licensure/Certification Required:

• Possession of current Project Management Professional (PMP) certification, or a comparable current certification from a nationally-recognized project management governance body. 

Skills

• Time Management
• Candidate should have strong communication skills and experience working in scrum agile environments.

Experience

• Seeking a Senior Project Manager working in artificial intelligence and machine learning (AI/ML) with strong AI/ML project experience.
• Ideally, hands on experience on the lifecycle of AI/ML (training, experimentation, deployment, inference) using frameworks like PyTorch or TensorFlow; platforms like AETHER/DLTS, Azure ML, AWS SageMaker, or Google Cloud.
• Ability to rationalize the different components of an AI stack, e.g., for parallel training, and the practical implications of model/data/pipeline parallelization.
• Good intuition for what promotes and impacts the adoption/engagement of AI platforms/frameworks, through practical experience.
• Do not need the technical skills to perform the work but needs a strong understanding of this work and the ability to drive clarity from ambiguity and the capability to drive consensus across leaders and concerted progress across multiple teams.
• Prefer experience with the lifecycle of Data Science/Artificial Intelligence/Machine Learning and ADO.