+ 15 years of engineering experience, including 10 years of experience leading engineering teams building user-facing products, technical infrastructure, and supporting data systems.
+ Experience at global organizations with cross-functional, product, or engineering elements.
+ Experience managing multiple stakeholders and completing projects.
Preferred qualifications:
+ Ability to analyze organizational issues, technical matters, or data analysis in order to draw insights, steer, and coach teams in the right direction.
+ Ability to influence at all levels of the organization.
+ Ability to foster innovation by leading teams with a growth mindset of experimentation, learning, and iteration.
+ Open, engaging, and collaborative style, representing and respecting Google values in all interactions, with excellent global leadership, organizational, and communication skills.
+ Committed to continuously improving engineering development practices and processes.
+ Comfortable with ambiguity and change management.
Search Analytics Data Warehouse is a data platform for strategic analysis, experiment analysis, and Machine Learning for ranking systems. We are responsible for data modeling and schema representation, data processing, storage optimization, and access to the data. In the last few years we have innovated in the areas of real-time and incremental processing, optimized materializations for faster query speed, and differential access controls for data protection, and insider risk mitigation. Our goal is to become an offering for policy compliant analytics data for Search and Assistant. We partner closely with large infrastructure organizations at Google, driving their requirements. In order to ensure our analytics platform is addressing the business needs of Search business area, we work closely with internal customers, such as Data Scientists, Product Owners, and Business leads of Search business area. One of the key areas we want to make faster progress in is the complex compliance space to maintain and increase user trust at scale. In this role, you will be a leader with General Manager skills with a solid foundation in engineering. Even though Product and Program will not report to this leader, they will play a key role in shaping decisions, creating customer feedback loops, defining vision and strategy, and setting up effective programs.
+ Lead a team of software engineers.
+ Design a vision for a policy compliant analytics data for Search and Assistant.
+ Define projects and create a roadmap to execute your vision. Promote metrics and objective key results-driven mindset.
+ Reduce access to non-compliant data.
+ Build feature sets to increase broad adoption.