Data Analytics And AI Sales Specialist

XNote: Google's hybrid workplace includes remote roles. By applying to this position you will have an opportunity to share your preferred working location from the following:

Remote locations: Texas, USA; Illinois, USA; Minnesota, USA.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.

• 10 years of experience selling to state and local government agencies and higher education.

• Experience working with BI front-end, data analytics middleware, or back-end data warehouse technologies.

• Experience managing relationships with customers or clients.

Preferred qualifications:

• Understanding of 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 etc.).

• Ability to translate business value to technology at C-level and act as a thought leader in the data analytics topics.

About the job

In this role, you will focus on customers and prospects who have an opportunity to run data analytics and AI workloads on Google Cloud Platform. You will advocate for the innovative power of our data and AI products 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.

Responsibilities

• Generate a plan to ensure broad data analytics and AI pen testing into new Google Cloud accounts.

• Land new data analytics workloads in existing Google Cloud accounts and accelerate data analytics and AI consumption for key accounts.

• Build and maintain executive relationships with customers as the data analytics and AI subject matter expert, influence long-term strategic direction, and act as a trusted advisor.

• Develop sales strategies to accelerate the business cycle.

• Work collaboratively with cross-functional teams to grow the business with new data analytics and AI customers and workloads.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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