Technical Program Manager III, Advanced Analytics, Google Data Center

About the role

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

• Design and implement data warehouse infrastructure, data structures, batch and real-time data pipelines, predictive analytics and machine learning models using Google Cloud Platform (GCP), translate data and model results into strategic insights for leadership and business stakeholders.
• Led multiple data-solution programs, including coding responsibilities covering data pipelines, visualizations, data alerts, advanced analytics, and machine learning methods, translating raw data into strategic insights and recommendations for leadership and business teams.
• Manage all aspects of program deliverables from project inception to implementation and resource oversight.
• Manage datasets to extract business insights that help maintain up-time of critical data center operations, and increase operating efficiency of teams responsible for designing and building Google’s data center footprint.

Requirements

• Bachelor’s degree in Information Systems, Computer Science, Data Science, Analytics, Mathematics, or equivalent practical experience.
• 5 years of experience in program management.
• Experience in SQL, Python, or BigQuery.
• Experience in advanced analytics or AI/ML model-based solutions, and data engineering or systems management (e.g., data warehousing, data analytics, business intelligence, visualization, data governance, data architecture, and system integration).

Preferred qualifications

• 5 years of experience managing cross-functional or cross-team projects.
• Experience in modern data warehouses using cloud based solutions from data sources, predictive analytics, or machine learning.
• Experience leading and delivering data-focused programs.
• Experience with executing change management or program strategy.
• Experience in developing batch and real time streaming data pipelines using Google Cloud Platform BigQuery, Dataflow, and Publish/Subscribe from data sources (e.g., Oracle, SAP).

Benefits

• Health, dental, vision, life, disability insurance
• Retailment Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Pay

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Schedule

N/A