Minimum qualifications:

　　Bachelor's degree in Computer Science, Engineering, a similar technical field of study, or equivalent practical experience

　　15 years of professional software engineering experience

　　Experience in analytics, including generative AI, responsible AI and real time data processing

　　Preferred qualifications: Experience as a thought leader in data analytics and AI/ML, and experience in technology innovation

　　Experience in AI/ML quality evaluation and improvement, including managing tuning techniques with cost/benefit tradeoffs

　　Ability to promote product excellence and collaboration driving a portfolio of concurrent engineering projects (e.g., short-term critical feature launches to long-term research initiatives)

　　Passionate about delighting enterprise customers, with an excellent understanding of enterprise workloads

　　About the job

　　In this role, you will define the long-term technical and innovation strategy for Data Analytics and bring your point of view on technology leadership, research, and industry trends. You will employ a hybrid approach of direct technical guidance, mentorship, high-level consulting, and risk/growth management. You will also collaborate with the Data Analytics leadership team.

　　Google Cloud accelerates organizations' ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology - all on the cleanest cloud in the industry. 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.

　　The US base salary range for this full-time position is $316,000-$469,000 + 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 for new hire 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

　　Co-lead the technology and innovation strategy for Data Analytics with a focus on Generative AI, Machine Learning and their connection to big data, realtime data, and Business Intelligence (BI) systems.

　　Assess long-term technological investments, and calibrate opportunities against each other and available bandwidth.