Technical Project Manager/AI Delivery Lead

Capio Group•Sacramento, CA

1d•$130,000 - $140,000•Onsite

About The Position

Capio Group is looking for an experienced Technical Project Manager/AI Delivery Lead with detailed knowledge and experience of a technical project manager, along with advanced expertise in data analytics and AI implementation. The AI Delivery Lead acts as a technical project manager with strong data analytic and AI implementation technical skills, overseeing multiple projects involving Generative AI implementation, AI adoption, and AI transformation. This role utilizes industry’s best practices like Project Management Body of Knowledge (PMBOK), Software Development Life Cycle (SDLC), Agile, and Information Technology Infrastructure Library (ITIL) methodologies. The AI Delivery Lead ensures that the technology projects meet business goals and success criteria using standard Project Portfolio Management (PPM) and Project Management tools such as Clarity PPM, Microsoft Project, Excel, Jama, and Jira, with an aim to complete the projects on time, within budget, and according to customer needs.

Requirements

Ten (10) or more years of project management experience managing complex projects with over $1M budgets with proficiency level in project management tools (such as MS Project, Jira, Confluence) and Agile/Waterfall methodologies.
Two (2) or more years of experience managing Artificial Intelligence/Machine Learning (AI/ML) and data analytic projects with strong understanding of AI/ML concepts, data pipelines, and model lifecycle.
Five (5) years of experience in leading cross-functional teams and managing multiple concurrent projects.
Bachelor’s degree in computer science, information technology, data science, or related field.
A copy of the degree/certification must be provided upon request.
Must have a minimum of five (5) years of experience in areas such as systems development, knowledge of business processes, technical background or supervisory capacity to implement business solutions.
Must be able to provide a client/user end reference contact information for each applicable project meeting the requirements upon request in the qualification form. In addition, you must be able to submit completed reference forms when requested. Each reference form must be signed by the referenced individual. The reference contact must be a representative of the company for which the project was developed and must have served in a management or supervisory role.

Nice To Haves

Five (5) years of experience in reviewing or creating AI technical documentations, cloud architecture diagrams, and Application Programming Interface (API) manuals.
Three (3) or more years of experience in data governance, security, and compliance standards.
Two (2) or more years of experience of managing cloud-based projects with cloud platforms (such as Azure or AWS) and AI services.
Strong problem-solving, decision-making, and collaboration skills.

Responsibilities

Define and manage project scope, schedule, resources, strategy, risks/issues, communications, milestones, success criteria, and budget for AI-related projects.
Develop and maintain project management artifacts, including Project Charter, Project Schedule, Communication Management Plan, Risk and Issue Management Plan, Training Plan, Transition Plan, Project Closeout Report, Agile backlogs, Agile task boards, and Agile team performance reports.
Collaborate with leadership, data analysts, developers, business analysts, system architects, and business teams to translate AI strategy into actionable project plans and deliver high-quality software products.
Ensure AI models and solutions align with the client strategic goals, and AI policy, AI Security standard, Information System Project Standards, and meet business requirements, compliance standards, and ethical guidelines.
Lead the integration of AI tools and platforms into existing systems and workflows.
Lead the AI adoption and change management with the client, including stakeholder education and training.
Participate in technical design reviews with developers and architects, including architecture diagrams and integration plans to ensure alignment with business and compliance requirements.
Review business requirements document for clarity and feasibility.
Review data models, training datasets, and feature engineering approaches for alignment with project goals.
Communicate and coordinate with business areas, sponsors, subject matter experts (SMEs), and Project Management Office (PMO).
Manage vendors for performance and alignment to the client goals.
Prepare weekly and monthly status reports and develop presentations for leadership.
Be responsible for the quality assurance of all deliverables, including AI models, documentation, and deployment artifacts.
Support continuous improvement of templates, processes, and methodologies for AI project delivery.
Identify and implement lessons learned for future AI initiatives and projects.
Develop functional and technical information system designs
Supervise business integration analysts in the development of software designs, computer programming, system testing or training curriculum
Lead business process redesign teams in the development of new business process architectures
Design training programs for information systems users
Participate in quality reviews to ensure work complies with specified standards
Develop teamwork plans
Perform workflow analyses
Design and manage databases
Define information systems requirements
Assist in project budget preparation.