Technical Project Manager - Finance

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

NVIDIA's Finance AI & Data Science team is seeking a Technical Project Manager to drive complex business-facing projects to completion, ensuring they meet business and technical requirements. The role involves understanding finance processes, managing project communications, tracking requirements, and engaging with AI/ML, data engineering, and automation elements.

What you'd actually do

  1. Leverage a strong understanding of finance and business processes to connect technical solutions to meaningful business problems, proactively identifying gaps.
  2. Build lasting connections and relationships across NVIDIA and with external partners. Work closely to manage project communications with different functions and at different levels (e.g., finance leadership, IT, product teams, vendors).
  3. Track requirements and owners on multiple simultaneous projects, following up on critical action items to meet tight deadlines and raising observed problems when necessary.
  4. Understand the high- and low-level technical architecture of projects with AI, machine learning, data engineering, automation, application, and security elements. Facilitate debate and drive decisions on appropriate solutions.
  5. Engage with technology directly, understanding the latest in AI and data science and applying your knowledge to keep it fresh.

Skills

Required

  • BS/MS or equivalent experience in Business Analytics, Data Science, Economics, Computer Science, Finance, or similar related field.
  • 5+ years of experience using technology to solve business problems (e.g. data science, automation, BI, AI, etc.)
  • 3+ years of technical project management.
  • Superb communication and organizational skills.
  • Ability to understand and guide teams towards critical goals in an ambiguous and fast-paced environment.

Nice to have

  • Hands on experience with business-facing technical work.
  • Intuitive understanding of project failure points.
  • Experience in corporate/strategic finance roles (e.g. FP&A, M&A, treasury) or adjacent areas.
  • PMP, PMI-ACP, or other relevant certifications.

What the JD emphasized

  • technical project management
  • AI
  • machine learning
  • data engineering
  • automation