We are seeking a seasoned Technical Project Manager to lead multi-team initiatives focused on Generative AI (GenAI), Palantir 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.

About the Role

The Technical Project Manager will lead multi-team initiatives focused on Generative AI (GenAI), Palantir and advanced data solutions, 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).

RAID & Risk Management
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

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.

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.

Required 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)
OpenAI (GPT models)
Google (Gemini / Vertex AI)
Microsoft (Azure OpenAI Service, Copilot)
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.

Preferred Skills

Experience in industries such as insurance, financial services, or healthcare.
Certifications in AI/ML, Cloud (AWS, Azure, GCP), or Data Engineering.

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