Technical Project Manager

EXL; Charlotte (NC); Hybrid; USD 120,000 - 150,000; Full time

Job summary

EXL is seeking a Technical Project Manager to lead GenAI and data delivery initiatives in a hybrid work model. You will oversee multi-team programs, coordinating data engineering, ML/AI engineers, and business stakeholders to deliver AI-powered solutions.

The role requires strong PM experience, knowledge of GenAI concepts, and hands-on familiarity with AI lifecycles, cloud platforms, and stakeholder management to ensure on-time delivery and business value realization.

Qualifications

• 7+ years of project management experience in AI/ML or data-driven initiatives.
• Proven experience managing GenAI, ML, or advanced analytics projects.
• Experience in industries such as insurance, financial services, or healthcare is a plus.

Responsibilities

• Develop and manage comprehensive project plans for GenAI and data-driven initiatives.
• Coordinate cross-functional teams including data engineering, ML/AI engineers, data scientists, and business stakeholders.
• Ensure traceability from requirements to deployment and business outcomes.
• Report to leadership with regular updates and manage RAID (Risks, Assumptions, Issues, Dependencies) logs.
• Ensure adherence to responsible AI practices and governance standards.

Skills

GenAI concepts

Prompt engineering

LLMs

Embeddings

RAG

Fine-tuning

Project management

Agile methodologies

Stakeholder management

Education

Bachelor's degree in Computer Science, Engineering, or a related field

Tools

Anthropic Claude

AWS Bedrock

Jira

MS Project

Rally

Job description

Job Title: Technical Project Manager - GenAI & Data Delivery

Work Mode: Hybrid

Job Description:

We are seeking a seasoned Technical Project Manager to lead multi-team initiatives focused on Generative AI (GenAI) and advanced data solutions. The ideal candidate will have strong experience managing complex, AI-powered and data-driven projects, and will be responsible for driving delivery across multiple workstreams, ensuring alignment with business objectives, and managing stakeholder expectations.

Key Responsibilities:

Project Planning & Execution

• Develop and manage comprehensive project plans for GenAI and data-driven initiatives.
• Coordinate cross-functional teams including data engineering, ML/AI engineers, data scientists, and business stakeholders.
• Ensure timely delivery of project milestones, including model development, deployment, and integration.

GenAI & Use Case Delivery

• Drive end-to-end delivery of Generative AI use cases (e.g., LLM-powered applications, document intelligence, chatbots, summarization tools).
• Collaborate with technical teams on model selection, fine-tuning, prompt engineering, and evaluation frameworks.
• Ensure alignment between GenAI solutions and business value realization.

Requirement & Stream Management

• Gather, track, and manage requirements across multiple AI/data workstreams.
• Translate business needs into actionable technical requirements for AI/ML teams.
• Ensure traceability from requirements to deployment and business outcomes.

Stakeholder Engagement & Reporting

• Report directly to leadership (e.g., Data/AI Lead or Program Head) with regular updates.
• Act as the primary liaison between business teams, AI/ML teams, and external vendors/partners.
• Communicate project status, risks, dependencies, and AI-specific considerations (e.g., model performance, data readiness).
• Maintain and manage RAID (Risks, Assumptions, Issues, Dependencies) logs.
• Identify and mitigate risks related to AI model performance, data quality, compliance, and ethical AI usage.
• Track budgets, forecast costs (including cloud/compute usage), and optimize resource allocation.

Governance & Compliance

• Ensure adherence to responsible AI practices, data privacy regulations, and model governance standards.
• Support implementation of AI lifecycle management (MLOps/LLMOps) frameworks.

Qualifications:

Experience

• 7+ years of project management experience, with exposure to AI/ML or data-driven initiatives.
• Proven experience managing GenAI, machine learning, or advanced analytics projects.
• Experience in industries such as insurance, financial services, or healthcare is a plus.

Skills

• Strong understanding of Generative AI concepts (LLMs, prompt engineering, embeddings, RAG, fine-tuning).
• Hands-on or working knowledge of leading GenAI platforms and tools such as:
• Anthropic (Claude)
• Amazon Web Services (Bedrock)
• Familiarity with AI/ML development lifecycle, APIs, and cloud AI platforms.
• Proficiency in project management methodologies (Agile, Waterfall, or hybrid).
• Hands-on experience with tools like Jira, MS Project, Rally, or similar.
• Excellent communication, stakeholder management, and problem-solving skills.

Education

• Bachelor's degree in Computer Science, Engineering, or a related field.

Certifications (Preferred)

• PMP or equivalent project management certification.
• Certifications in AI/ML, Cloud (AWS, Azure, GCP), or Data Engineering are a plus