Perficient is a consulting firm that is currently seeking a Senior Project Manager to join their team. The role involves managing AI and data-centric projects, leading cross-functional teams, and ensuring successful project delivery while maintaining high-quality standards.
Responsibilities:
- Understand the complexities of a large program and guide the development teams
- 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
- Manage the entire AI/ML model lifecycle, from data collection and preparation to model training, evaluation, deployment, and monitoring
- 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
Requirements:
- 10+ years of Proven experience in a project or program management role, with a strong focus on AI/ML and data-driven projects
- 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 and Confluence
- Strong data literacy, including knowledge of data collection, management, and analysis techniques
- Experience in risk management, resource allocation, and budget management
- Must have had Program Management experience in setting up and running a PMO and should be able to manage multiple projects on different tracks
- 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
- Experience with the Global Delivery Model is preferred
- 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
- A bachelor's or master's degree in Computer Science, Data Science, Engineering, or a related technical field
- Professional certification in project management (e.g., PMP, PMI-ACP, Certified Scrum Master)
- Familiarity with ethical AI practices and regulatory compliance frameworks (e.g., GDPR, CCPA)
- Experience with cloud platforms and data services (e.g., AWS, Azure, Google Cloud Platform)
- Familiarity with specific AI technologies such as natural language processing (NLP) or computer vision