Enterprise Information Architecture Lead, Enterprise Data and Engineering

About the job

Like Google's own ambitions, the work of a Software Engineer goes way beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You not only optimize your own code but make sure engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

Corporate Engineering is a team for Googlers by Googlers. Our internal products touch every employee's life "from hire to retire" including Finance, People Operations, Marketing, Cloud, Payments, Googel Play, Devices and Platforms, and more. We invest heavily in engineering excellence through our horizontal teams, such as Enterprise Data and Engineering, who are tasked with innovating shareable, highly configurable data solutions.

At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google's IT organization, we provide end-to-end solutions for organizations across Google. With an inclusive mindset, we deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.

Responsibilities

• Help drive information architecture best practices to meet the enterprise data, analytic needs of Googlers, while elevating the overall data maturity of Google's Enterprise Data.
• Define the data architecture framework, standards, and principles including modeling, metadata, security, reference data.
• Design and implement data models to promote connectivity and reuse of enterprise data concepts.
• Collaborate with other teams within the organization to devise and implement data strategies, build models, and assess shareholder needs and goals.
• Partner with internal teams to gain a rich understanding of business processes and data maturity for their functions as well as influence building their data ontologies.