AI/ML Data Technical Project Manager

  • Sunnyvale, CA
  • Posted 1 day ago | Updated 1 day ago

Overview

On Site
$120,000 - $160,000
Full Time

Skills

AI/ML
Snowflake
Tableau
ETL
Python
LLM

Job Details

Hi,

Hope you are doing well.

Position: Technical Lead AI/ML & Data Platform

Location: Sunnyvale, CA

Job Description:

  • Coordinate multiple workstreams in parallel, ensuring timely and high-quality delivery.
  • Conduct and facilitate daily stand-ups across global time zones, maintaining visibility and accountability.
  • Deeply understand business domains and the technical architecture, enabling informed decision-making and risk identification.
  • Collaborate with data engineers, AI/ML scientists, analysts, and product teams to translate goals into actionable plans.
  • Track progress using Agile or hybrid methodologies, escalating blockers and resolving dependencies.
  • Own the lifecycle of tasks from planning through execution, delivery, and retrospectives.
  • Perform technical reviews of data pipelines and ETL processes, identifying architectural or data quality issues.
  • Evaluate and optimize data aggregation logic while ensuring alignment with business semantics.
  • Contribute to the design and development of Retrieval-Augmented Generation (RAG) pipelines and workflows involving Large Language Models (LLMs).
  • Ability to create Tableau reports and dashboards aligned with business KPIs.

Required Skills:

  • Strong grasp of data pipelines, data architecture, and analytics platforms (e.g., Snowflake, Tableau).
    • Experience in reviewing and optimizing data transformations, aggregations, and business logic.
    • Hands-on familiarity with LLMs and practical implementation of RAG-based AI systems.
  • Familiarity with AI/ML workflows, model lifecycle, and experimentation frameworks.
  • Experience managing complex, multi-track projects.
  • Skilled in project tracking tools like Jira, Confluence, or equivalent.
  • Excellent communication and coordination across technical and non-technical teams.
  • Proven experience working with cross-functional, globally distributed teams.

Additional Skills:

    • Exposure to cloud platforms (AWS, Google Cloud Platform, Azure) and modern DevOps practices.
  • Capable of creating executive-level dashboards and summaries.
  • Strong analytical and problem-solving mindset.
  • Understanding of semantic layers and their role in consistent business logic interpretation.
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