Industry Solutions Lead II, Retail, Google Cloud at Google

Minimum qualifications:Bachelor's degree in Computer Science or equivalent practical experience.9 years of experience performing services focused on translating retailer needs into cloud solutions.Experience in the retail industry, developing cloud solutions.Experience in machine learning, artificial intelligence, natural language processing, contact center AI, or pattern recognition.Preferred qualifications:Experience in a programming language (e.g., R, Java or Python) and applied machine learning techniques (e.g., dimensionality reduction strategies, classification, natural language processing frameworks).Experience in systems design with the ability to architect and explain data analytics pipelines, data flows, and Machine Learning Operation platforms.Familiarity with building data pipelines integrated with key retailer applications. Demonstrated cloud solution architect capabilities with a broad set of Retail use cases.Excellent organizational, problem solving, and influencing skills. About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.As an Industry Solution Lead, you will work directly with Google Cloud’s most strategic customers in the retail industry on projects that transform business. You will work with Google Cloud Consulting and Sales team, as well as Product and Engineering teams dedicated to Artificial Intelligence (AI) Solutions to foster innovation. In partnership with these teams, and with Strategic Partners, you will promote, scope and oversee the implementation of Google Cloud's priority AI Industry Solutions. You will apply management, industry-specific consulting expertise, and technical skills to customer engagements while working with Google's clients’ executives and key technical leaders to operationalize Google Cloud Industry Solutions for our customers.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.For United States Only:The US base salary range for this full-time position is $142,000-$211,000 + 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 Provide deep expertise in AI Solutions and advocate these solutions among Google’s customers, partners and internal stakeholders.Lead the scoping and technical delivery of complex AI Industry Solution engagements covering program assurance, removing roadblocks, and validation, while driving exceptional customer satisfaction.Work with Sales, Product and Engineering teams to develop AI Industry Solution delivery strategies and methodologies. Consolidate lessons learned into a curated knowledge base to support global scaling of Industry Solutions.Recommend and document migration paths, integration strategies, and application architectures required to successfully implement complete solutions using best practices on Google Cloud.Travel approximately 20% of the time, as needed for client engagements.