Senior Project Manager - AI Data

Perficient is seeking a Senior Data Project Manager to lead complex, client-facing data transformation initiatives from strategy through execution. The role oversees delivery across data modernization, migration, cloud, and AI-enabled programs, while aligning stakeholders and driving measurable business outcomes.

Responsibilities:

• Lead enterprise data transformation initiatives through the full project lifecycle, from discovery and planning through implementation, deployment, and hypercare
• Develop program roadmaps, execution plans, milestones, KPIs, and success metrics to drive delivery and business outcomes
• Translate Statements of Work (SOWs) into actionable project plans, managing scope, timelines, risks, dependencies, and deliverables
• Partner with business and technical stakeholders to support data migration, cloud modernization, data engineering, and platform transformation programs
• Facilitate discussions around data architecture, migration strategies, data quality, and implementation approaches
• Leverage AI tools to improve project planning, requirements development, risk analysis, reporting, testing, and team productivity
• Build strong relationships with clients and executive stakeholders, providing clear communication, governance, and strategic guidance throughout program delivery
• Drive cross-functional collaboration to ensure successful execution, stakeholder alignment, and measurable business results

Requirements:

• 8+ years of project or program management experience leading enterprise data initiatives
• Proven experience delivering complex data transformation, migration, cloud, or data engineering programs
• Strong experience with at least one of the following:
  • Databricks
  • Snowflake
  • Search platforms
  • Product Information Management (PIM) solutions
• Demonstrated ability to manage projects through the complete lifecycle from discovery through deployment
• Experience organizing and managing delivery through epics, workstreams, and user stories while maintaining program-level visibility
• Strong understanding of:
  • Data architecture concepts
  • Data migration strategies
  • Data quality frameworks
  • Cloud-based data platforms
  • Implementation methodologies
• Exceptional stakeholder management, communication, and presentation skills
• Strong forecasting, planning, risk management, and dependency management capabilities
• Experience creating project roadmaps, milestone plans, KPIs, and success metrics
• Consulting or professional services experience
• Experience leading client-facing engagements across multiple workstreams and stakeholders
• Familiarity with Agile, Scrum, and hybrid delivery methodologies
• Experience working in fast-paced environments with evolving requirements and priorities
• Relevant certifications such as PMP, PgMP, PMI-ACP, Scrum certifications, or cloud/data platform certifications