Senior Project Manager

Perficient is a global AI-first consultancy. Our team of strategists and engineers partners with the world’s most innovative enterprises to deliver real business results through the power of AI. We empower every employee to build AI fluency and actively engage with AI tools to drive innovation.

As the Senior AI Project Manager, you will have complete responsibility for the day-to-day management of the engagement, including all aspects related to managing our consulting team, resulting in a successful delivery and a satisfied, reference-able client. You’ll work with the latest technologies, expand your skills, navigate the unique challenges of AI projects (data quality, model performance, ethical AI considerations), and become a part of our global community of talented, diverse, and knowledgeable colleagues.

• Partner with our clients and Perficient development teams for use-case validation to uncover how customers and prospects can use AI solutions.
• Develop and maintain a deep understanding of the Automation platform, the broader AI and LLM landscape, as well as our customers’ ecosystems so you can offer solution recommendations
• Interact with product managers and other organizational units such as QA, operations, and external IT partners.
• Negotiate scope, schedule, and funding with external IT and business partners.
• Establish common goals across multiple teams and define useful metrics and reporting to track team performance.
• Manage milestones across multiple teams.
• Lead teams of engineers through the completion of all phases of the project.
• Lead the planning, execution, and delivery of multiple AI and data-centric projects, from ideation to production.
• Define project scope, goals, milestones, and deliverables in collaboration with stakeholders.
• Coordinate cross-functional teams, including data scientists, data engineers, software engineers, and business analysts.
• Oversee data governance processes, ensuring data quality, security, and compliance with ethical guidelines.
• Develop and manage project budgets and timelines, proactively identifying and mitigating potential risks and issues.
• Communicate project status, progress, and outcomes to technical and non-technical stakeholders.
• Drive Agile project management methodologies (e.g., Scrum, Kanban) and foster a culture of iterative development.
• Ensure that project deliverables meet high-quality standards and contribute measurable business value.

Write statement of work (SOWs) for identified use cases and custom agents

• 10+ years of Proven experience in a project or program management role, with a strong focus on Automation and data-driven projects.
• Bachelor's or Master’s degree in Business, Project Management, Computer Science, or related field.
• Consulting industry experience, with strong relationship management, account management, and sales support experience. Must have prior background in managing large, multi-team engagements.
• Deep understanding of the AI/ML development lifecycle and data engineering principles.
• Experience with Agile methodologies (Scrum/Kanban) and project management tools like JIRA.
• Demated ability to leverage AI tools to enhance productivity, streamline workflows, and support data-informed task execution.
• Familiarity with AI-enhanced platforms is a plus.
• A solid understanding of AI capabilities and limitations including ethical considerations is expected
• Experience in risk management, resource allocation, and budget management.
• Highly proficient in collaborating with project stakeholders, end-users, business partners, and technical team members to deliver high-quality projects.
• Hands-on with project documentation. Well-versed in industry best practices and current technologies.
• Hands-on experience with proposal creation and leading proposal presentations.
• Excellent leadership, interpersonal, communication, and presentation skills.
• Flexibility to travel.
• Familiarity with AI-enhanced platforms is a plus.
• A solid understanding of AI capabilities and limitations, including ethical considerations, is expected.

• Professional certification in project management (e.g., PMP, PMI-ACP, Certified Scrum Master).
• Familiarity…