Technical PM – AI/ML & Generative AI Projects

Our Client, an IT Services and Consultant company, is looking for a Technical PM – AI/ML & Generative AI Projects for their Remote location.
 
Responsibilities:

• Project Delivery & Execution
• Lead end-to-end delivery of AI/ML and Generative AI projects — from ideation, discovery, and proof-of-concept through model development, testing, and production deployment. (Mandatory)
• Develop comprehensive project plans, roadmaps, budgets, timelines, and resource plans.
• Define and manage risk mitigation strategies, contingency plans, and issue escalation paths.
• Manage project scope, cross-team dependencies, milestones, and deliverables to ensure successful execution.
• Coordinate data availability, model training/validation cycles, MLOps pipelines, and infrastructure provisioning with technical teams.
• Agile Delivery & Process Leadership
• Drive Agile, Scrum, or SAFe delivery practices across cross-functional teams (data science, engineering, product, QA).
• Facilitate sprint planning, backlog grooming, stand-ups, retrospectives, and PI planning as applicable.
• Establish and enforce delivery governance, documentation standards, and quality gates specific to AI/ML workflows (e.g., model validation, bias/fairness checks, responsible AI reviews).
• Stakeholder & Executive Communication
• Track and communicate project status, risks, dependencies, and business outcomes to stakeholders, sponsors, and leadership.
• Translate technical AI/ML concepts into business-relevant insights for non-technical stakeholders.
• Prepare and present steering committee updates, dashboards, and executive-level reporting (e.g., KPIs, ROI, model performance metrics tied to business value).
• Cross-Functional Coordination
• Partner with Data Science, ML Engineering, Product, Legal/Compliance, and Infrastructure teams to align priorities and resolve blockers.
• Manage vendor and third-party tool/platform relationships where applicable (e.g., cloud AI services, LLM providers).
• Ensure alignment between AI/ML roadmaps and broader organizational technology and business strategy.
• Risk, Compliance & Governance
• Identify and manage risks specific to AI/ML projects — data privacy, model drift, hallucination/accuracy issues (for GenAI), security, and ethical AI considerations.
• Ensure projects adhere to relevant regulatory, compliance, and responsible AI governance frameworks.

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field (Master's preferred).
• [X]+ years of experience in technical project/program management, with demonstrated delivery of AI/ML or Generative AI initiatives.
• Strong understanding of the AI/ML lifecycle (data collection, feature engineering, model training, validation, deployment, monitoring) and GenAI concepts (LLMs, prompt engineering, RAG, fine-tuning).
• Proven experience managing Agile/Scrum/SAFe delivery frameworks.
• Experience managing budgets, resource allocation, and multi-team dependencies.
• Excellent stakeholder management and executive communication skills.
• PMP, CSM, SAFe Agilist, or equivalent certification preferred.
• Preferred Qualifications
• Hands-on familiarity with ML/AI tools and platforms (e.g., Python, Jupyter, MLflow, SageMaker, Vertex AI, Azure ML, Databricks).
• Exposure to LLM ecosystems and GenAI tooling (OpenAI, Anthropic, LangChain, vector databases).
• Experience with MLOps practices and CI/CD pipelines for ML models.
• Background in a technical role (engineering, data science) prior to moving into project/program management.
• Experience working in regulated industries (finance, healthcare) with AI governance requirements.
• Category Skills
• Project Management Scope/risk/budget management, roadmapping, resource planning
• Delivery Methodology Agile, Scrum, SAFe, Kanban
• Technical Fluency AI/ML lifecycle, GenAI/LLM concepts, MLOps, cloud platforms
• Communication Executive reporting, stakeholder management, technical translation
• Tools Jira, Confluence, MS Project, Smartsheet, ML platforms (as applicable)

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities