Job description

As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. In this role, you will be responsible for the technical implementation of our partners from onboarding to optimization. You will be part of a team that directly addresses key operational challenges in data processing, tracking, and quality for the goal of delivering improved pipeline scale and reliability, reduced manual effort, and faster data delivery and publishing to Google Maps. The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives. The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $130000 - $187000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google . • Design and build data processing systems with a particular emphasis on security, compliance, scalability, efficiency, reliability, and portability. • Create or consult in creating data visualizations using Business Intelligence (BI) tools (e.g., PLX, Datastudio, Tableau, etc.). • Develop and maintain data models, pipelines, and exchange formats to assist in the visualization, analysis, and interpretation of data and for use of data in ML training/models. • Provide ongoing support for data users through maintenance of reports, queries, and dashboards, fielding user questions, authoring documentation, and delivering training. • Bachelor's degree or equivalent practical experience. • 3 years of experience coding in one or more programming languages. • 3 years of experience working with data infrastructure and data models through exploratory queries and scripts. • Experience building ETL pipelines and working with data processing frameworks. Minimum qualifications: • Bachelor's degree or equivalent practical experience. • 3 years of experience coding in one or more programming languages. • 3 years of experience working with data infrastructure and data models through exploratory queries and scripts. • Experience building ETL pipelines and working with data processing frameworks. Preferred qualifications: • 3 years of experience with statistical methodology and data consumption tools such as business intelligence tools, collabs, jupyter notebooks, Tableau, Power BI, DataStudio, and business intelligence platforms. • 3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders/customers. • 3 years of experience developing project plans and delivering projects on time within budget and scope. • Experience with Machine Learning for production workflows.

Requirements

Must-haves

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Learn more about benefits at Google .
Design and build data processing systems with a particular emphasis on security, compliance, scalability, efficiency, reliability, and portability.
Create or consult in creating data visualizations using Business Intelligence (BI) tools (e.g., PLX, Datastudio, Tableau, etc.).
Develop and maintain data models, pipelines, and exchange formats to assist in the visualization, analysis, and interpretation of data and for use of data in ML training/models.
Provide ongoing support for data users through maintenance of reports, queries, and dashboards, fielding user questions, authoring documentation, and delivering training.
Bachelor's degree or equivalent practical experience.
3 years of experience coding in one or more programming languages.
3 years of experience working with data infrastructure and data models through exploratory queries and scripts.
Experience building ETL pipelines and working with data processing frameworks.
Bachelor's degree or equivalent practical experience.
3 years of experience coding in one or more programming languages.
3 years of experience working with data infrastructure and data models through exploratory queries and scripts.
Experience building ETL pipelines and working with data processing frameworks.
3 years of experience with statistical methodology and data consumption tools such as business intelligence tools, collabs, jupyter notebooks, Tableau, Power BI, DataStudio, and business intelligence platforms.
3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders/customers.
3 years of experience developing project plans and delivering projects on time within budget and scope.

Nice-to-haves

US: $130000 - $187000 (USD) + 15% bonus target + equity + benefits
Experience with Machine Learning for production workflows.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlmachine learning

Platform: google
Effort: medium