Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.

Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.

The Enterprise Data and Engineering team is focused on unifying Google’s enterprise data, securing it, and integrating it across product areas and functions. The mission is to unlock the value of the enterprise data by organizing it to be accessible, reliable, and secure.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

• Define program/product direction and roadmap, be accountable for implementation of program goals and deliverables, and lead technical projects from the planning stage through execution.
  
• Manage multiple projects, improve operational efficiencies through system automation and process improvements, and lead planning and managing of teams for delivery.
  
• Define planning and organizational structure to support software projects, influence designs/plans across multiple engineering teams, and establish enterprise conceptual, logical, and physical data models.
  
• Create data models, revise data dictionary definitions, governance practices, and standards, and partner with security architects to ensure compliance with data security and privacy mandates.