Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience planning, pitching, and executing a territory sales strategy.
- 8 years of experience working with Cloud Data Analytics technology stack (i.e., Hadoop/Spark Data lakes, SQL Data Warehouses, Data Streaming, ETL and Data governance, Business Intelligence, Predictive Analytics, OLAP and Data science framework, BigQuery, Looker).
- 5 years of experience working with AI/ML technologies integrated into data solutions.
Preferred qualifications:
- Experience in selling data analytics software or solutions.
- Experience working with market leading BI Front-end, Data Analytics Middleware, or Back-end Data Warehouse technologies.
- Ability to build influential relationships and deliver results in a cross-functional/matrixed environment.
- Ability to translate business value to technology at C-level and act as a thought leader in the data analytics topics.
- Excellent written/verbal communication/presentation skills, and strong strategic and analytical thinking skills.
As a member of the Google Cloud team, your focus is on customers and prospects who have an opportunity to run Data Analytics and AI workloads on Google Cloud Platform. You advocate for the innovative power of our data, AI and Geo solutions to make organizations more productive, collaborative, and mobile.
Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.
The US base salary range for this full-time position is $129,000-$194,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
- Generate a plan to ensure broad Data Analytics, AI and Geo solution into new Google Cloud accounts.
- Land new Data Analytics AI and Geo workloads in existing Google Cloud accounts and accelerate Data Analytics AI and Geo consumption for key accounts with ramping Data Analytics spend.
- Build and maintain executive relationships with customers as the Data Analytics subject matter expert, influence long-term strategic direction, and act as a trusted advisor.
- Develop sales strategies to be successful at accelerating agreement cycles in a very competitive environment.
- Work collaboratively with cross-functional teams to grow the business with new Data Analytics customers and workloads.