Technical Project Manager – GenAI & Data Delivery

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.

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.

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.

Ensure adherence to responsible AI practices , data privacy regulations, and model governance standards.

Support implementation of AI lifecycle management (MLOps/LLMOps) frameworks.

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.

PMP or equivalent project management certification.

Certifications in AI/ML, Cloud (AWS, Azure, GCP), or Data Engineering are a plus

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