Project Manager - AVP

EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator Framework™, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation, and logistics industries. Headquartered in New York, New York, EXL has more than 24,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia, and South Africa.

EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients’ decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization.  EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation, and logistics industries.

Job Summary

We are seeking a Project Manager – Engagement Management to drive day-to-day execution of EXLdata.ai client engagements, including demos, POCs, pilots, and early implementations.

This role is responsible for operational delivery, task coordination, and execution discipline across client engagements, working closely with Engagement Leads, Solution Architects, and EXLdata.ai platform teams. The Project Manager ensures that engagement plans are executed on time, risks are actively managed, and client expectations are met with consistency and quality.

The ideal candidate has strong delivery management skills, experience in data or AI-driven programs, and thrives in fast-paced, client-facing environments.

 

 

Key Responsibilities

Engagement Delivery & Execution

• Manage day-to-day execution of EXLdata.ai engagements (demos, POCs, pilots, early rollouts)
• Track tasks, milestones, dependencies, and deliverables across engagement workstreams
• Ensure adherence to defined timelines, scope, and quality standards

Client & Team Coordination

• Coordinate across client stakeholders, Engagement Leads, Solution Architects, and delivery teams
• Support alignment on engagement objectives, success criteria, and execution plans
• Facilitate regular working sessions, standups, and checkpoint meetings

EXLdata.ai Platform & Agent Coordination

• Work with EXLdata.ai agent teams (Data Engineering, Data Quality, Governance, Migration, Annotation, DataOps) to support engagement execution
• Track readiness of data, environments, workflows, and demo assets
• Escalate dependencies or constraints impacting delivery timelines

Demo, POC & Pilot Support

• Support structured execution of demos and POCs, including environment setup, synthetic data readiness, and workflow validation
• Coordinate execution steps across presales, engineering, and solution teams
• Ensure consistency and repeatability in engagement execution

Governance, Reporting & Tracking

• Maintain project plans, task trackers, RAID logs, and status reports
• Prepare engagement status updates and execution summaries for Program Managers and leadership
• Proactively identify risks and issues and support mitigation actions

 

Required Skills & Experience

• 8 years of experience in Project Management, Delivery Management, or Engagement Execution roles
• Strong experience managing client-facing delivery across multiple stakeholders
• Exposure to data platforms, analytics solutions, cloud programs, or AI-enabled initiatives
• Strong execution discipline with attention to detail
• Excellent communication, coordination, and organizational skills

 

Preferred Experience

• Exposure to AI, GenAI, or agent-based platforms
• Experience supporting data modernization, data quality, governance, or migration programs
• Background in demo execution, POCs, pilots, or presales delivery support
• Experience working with US