Project Data Manager

Perficient is a leading consulting firm, and they are seeking a Senior Project Manager to oversee the day-to-day management of client engagements. This role involves leading teams through project phases, managing budgets, and ensuring high-quality deliverables in AI and data-centric projects.

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