Lead Assistant Program Manager

Role Overview

• Translate client demand signals and pipeline forecasts into global analytics capacity plans across multiple geographies.
• Partner with delivery leaders to determine capability mix required for upcoming client programs (GenAI, Data Science, BI, ML, Analytics Engineering, etc.).
• Maintain visibility into active delivery teams, upcoming demand, and bench capacity to ensure optimal staffing readiness.
• Design and operationalize structured onboarding programs for analytics professionals joining managed services engagements.
• Establish skill development pathways and learning frameworks aligned with evolving client needs and technology stacks.
• Collaborate with internal SMEs to define technical competency standards and upskilling initiatives across analytics domains.
• Coordinate with client stakeholders and internal account teams to capture upcoming role requirements and staffing priorities.
• Lead the planning and deployment of analytics professionals into managed services programs globally.
• Ensure rapid fulfillment of client requirements while maintaining alignment with capability development goals.
• Develop and manage a strategic bench model to maintain delivery readiness for emerging client opportunities.
• Identify opportunities to deploy bench talent into internal accelerators, capability development programs, or pilot initiatives.
• Continuously track bench utilization and proactively align talent with upcoming engagements.
• Work closely with business development and account teams to ensure talent availability supports revenue growth targets.
• Provide insights into capacity readiness for new pursuits and expansion opportunities.
• Support proposal and pre-sales activities by aligning talent strategy with upcoming engagements.
• Coordinate across delivery leaders, capability heads, and account teams to ensure consistent staffing and capability standards across regions.
• Establish scalable processes for global talent onboarding, deployment, and capability development within analytics managed services programs.

Requirements

• 4+ years of experience in analytics, data, consulting, or technology delivery environments.
• Proven experience managing global teams or distributed delivery models.
• Strong understanding of analytics and data domain including AI, Data Science, BI, and ML.
• Experience working in managed services or consulting delivery environments.
• Demonstrated ability to align workforce strategy with client delivery and revenue objectives.
• Strong stakeholder management across delivery leadership, clients, and internal capability teams.

Benefits

• For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits