Data and Analytics Operations Lead, Play

Data and Analytics Operations Lead, Play Google - 4.3 Mountain View, CA Job Details Full-time $222,000 - $309,000 a year 6 hours ago Qualifications Computer science Master's degree in business administration Stakeholder engagement Managerial strategic planning Strategic management Business intelligence Computer Science Operations management Improving operational efficiency Key Performance Indicators Bachelor's degree Decision making Product management Data analytics Management consulting Master's degree in computer science Data science Senior level Cross-functional collaboration Master of Business Administration Cross-functional team management Stakeholder relationship building Cross-functional communication Operational budget management Organizational budget management Consulting firm experience Stakeholder management 10 years Full Job Description Minimum qualifications: Bachelor's degree or equivalent practical experience. 15 years of experience in management consulting, product management and strategy, or analytics in a technology company. Experience working with and analyzing data, and managing multiple cross-functional programs or projects.

Preferred qualifications:

MBA or Master's degree in Computer Science or Data Analytics. 10 years of experience in management consulting, data science, data strategy, or governance within a changing, technology-driven environment. Understanding of analytics platforms, data analytics and business insights. Excellent stakeholder management, operational leadership, executive communications, and the ability to influence cross-functional teams. About the job Product and Business Strategy Leaders bring together teams across Google's functions to help products execute optimally. Our team pushes Google to scale at key points that refine our products and infrastructure by executing efficiently, bringing solid business sense and sound judgment, and working effectively across organizational lines. Our roles often include components of strategy (e.g. analyzing and understanding new trends in the industry, building business plans), operations (e.g. running the cadence of organizations, connecting the operating lines between our functions), and communications. Our team partners with senior leadership to run important functions that cross-cut our existing organizations and deliver high impact projects. We help Engineers, PMs, UX, and all of our other functions to build amazing products that delight our users, and then get those products into their hands. In this role, you will lead the daily operations of Play Data Science and Analytics. You will act as a trusted advisor to ensure alignment with partner organizations and maximize impact through operational efficiency. You will facilitate executive-level communication and decision-making, orchestrate cross-functional initiatives, and manage key initiatives. Google Play offers music, movies, books, apps and games for devices, powered by the cloud. It syncs across devices and on the web. As part of the Android and Mobile team, Googlers working on Google Play do everything from engineering our backend systems, to shaping product strategy, to forming great content partnerships. They make it possible for people to do things like buy an ebook or song on their Android phone, then have it instantly available on their laptop. The Google Play team enhances the Android ecosystem by giving developers and partners a premium store where they can reach millions of users. The US base salary range for this full-time position is $222,000-$309,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 Plan and facilitate leadership meetings and onsites to formulate priorities, structure goal attainment, and organize quarterly business reviews that ensure delivery against the highest business priorities. Partner closely with Data Science, Program Manager (PM), and Engineering leaders on the execution of the AI goal and priorities with emphasis on velocity, resourcing, process, and operational needs. Plan and drive operational excellence to define Data Science and Analytics (DSA) priorities, Key Performance Indicators (KPIs), and key initiatives spanning data science and business intelligence in partnership with data engineering teams. Cultivate an AI-forward, data-driven team culture by leading cross-organization initiatives, providing regular communications for leads, and facilitating action planning to drive accountability. Oversee and execute processes required for budget and headcount management. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.