Technical Program Manager III, AI/ML, Finance

Minimum qualifications:

• Bachelor's degree in a technical field or equivalent practical experience.
• 5 years of experience in program management.
• Experience using AI to prototype and iterate designs for final development.
  
• Experience managing the software development lifecycle and shipping technical products.

Preferred qualifications:

• 5 years of experience managing cross-functional or cross-team projects.
• Experience working within or with finance domains (e.g., accounting, financial planning and analysis, treasury, procure-to-pay).
• Knowledge of data architecture, data warehousing, data governance, and business intelligence principles.
• Ability to influence without direct authority and drive consensus across cross-functional and executive stakeholders.
• Excellent investigative, problem-solving, and communication skills with the ability to convey technical concepts to non-technical audiences.

About the job:

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

Responsibilities:

• Partner with finance stakeholders, including Subject Matter Experts (SMEs) and process owners, to understand business tests, processes, and opportunities for AI and data-driven solutions.
• Translate business needs into clear technical requirements, solution designs, and project roadmaps, considering the key AI/ML capabilities.
• Lead and manage the lifecycle of technical projects, encompassing discovery, design, prototyping, development, integration, testing, launch, and ongoing monitoring.
• Build and iterate on prototypes that can serve as the foundational design for development.
• Connect insights and opportunities across different finance functions and technical initiatives to maximize impact and efficiency.