Manager, Data Architecture and Engineering, gTech

As a Technical Solutions Consultant at Google, you will play a crucial role in managing the technical relationship with the largest advertising clients and product partners. Your responsibilities will involve leading cross-functional teams across Engineering, Sales, and Product Management to harness emerging technologies for external clients and partners. From conceptual design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and product partnerships. Your ability to balance business and partner needs with technical limitations will be key, and you will be expected to develop innovative solutions while acting as a consultant to your colleagues. You will have the opportunity to create tools, automate products, oversee technical operations of partnerships, develop product strategies, and prioritize projects and resources effectively. Google's mission is to create products and services that positively impact the world, and the gTech team plays a crucial role in bringing these solutions to life. As a trusted advisor, you will support customers globally, leveraging technical expertise, product knowledge, and a deep understanding of customer needs to deliver bespoke solutions and scalable tools across Google's offerings. Your main responsibilities will include partnering with cross-functional teams to prioritize requirements and design Data Engineering solutions that drive analysis, insights, and support for the Ads business. Leading a team of Product Technology Managers and Data Engineers, you will synthesize stakeholder requirements, design data libraries, and develop solutions based on data warehouses, analytics, and visualizations. Additionally, you will work with leaders to address strategic and tactical challenges within the Ads business by offering data-driven solutions and scaling engineering capabilities through service providers. You will also be tasked with designing and launching data architecture, warehouses, reporting, and visualizations to enhance strategic and operational decision-making. Maintaining cross-functional organizational standards to ensure clarity and consistency across metrics and dimensions will be essential as the Ads business continues to grow. Managing support and product taxonomy will also fall under your purview.,