Metropolis
Vice President, Data Engineering and Analytics
Metropolis, Los Angeles, California, United States, 90079
Locations: Los Angeles, CA, New York, NY OR Seattle, WA
The Company
Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online.
The Role
As we continue to expand, we are looking for an exceptional leader to lead the Data Analytics and Engineering team. You will report directly to the CTO and own the entire Metropolis data platform - including the Data Engineering platform and the Business Intelligence systems used to visualize the data. You will be a strategic partner to senior leaders across the company. You will rely on your expertise with OLAP and OLTP data systems to ensure that the data platform is architected in a way that evolves with the needs of the business.
Responsibilities
Own and drive the full cycle of the analytics workflow, from the data platform architecture to data collection from internal and external sources to analysis and visualization.
Own the flow of data across various systems and applications and work with the teams across Engineering and Product to ensure data accuracy and integrity.
Drive thought leadership in collaboration with Product, Operations and Sales teams to commercialize the Metropolis data analytics.
Build an external facing Metropolis analytics product that would provide our clients and partners with actionable insights that align with their goals.
Recruit, manage, mentor, and grow a talented team of directors, managers, analysts, and data engineers.
Work closely with the Product, Operations, Finance, and Sales teams in developing data products to power personalization, optimize conversion rates, analyze field research data and increase revenue.
Own the end-to-end performance of the data analytics and engineering platform.
Own the Data Ops function and develop a strategy that ensures data accuracy and consistency.
Develop a set of monitoring systems that would proactively alert key stakeholders when there are issues with the data.
Requirements and Qualifications
Undergraduate degree in Engineering, Computer Science, Mathematics, Statistics, AI, ML, or a similar technical field. Master's and/or Ph.D. a plus.
15+ years' experience in software engineering and data analytics with at least 6+ years of experience leading data analytics teams.
Ability to lead and grow a diverse team of leaders, analysts, data engineers and data scientists.
Experience being the lead point of contact, consulting with and problem solving with internal and external stakeholders.
Experience defining the strategy and leading the development of the data platform that can scale with the business and powers all analytics.
Very strong data manipulation and database modelling skills. Deep expertise in SQL, data modeling, and warehousing.
Experience working with large scale data systems and solid knowledge of ETL processes.
Excellent written and verbal communication skills, and a strong ability to explain insight extracted from complex data in a way that everyone across multiple technical skill levels would understand.
Experience in business intelligence software such as Tableau, Looker, or similar.
Experience leading offshore teams would be a plus.
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The Company
Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online.
The Role
As we continue to expand, we are looking for an exceptional leader to lead the Data Analytics and Engineering team. You will report directly to the CTO and own the entire Metropolis data platform - including the Data Engineering platform and the Business Intelligence systems used to visualize the data. You will be a strategic partner to senior leaders across the company. You will rely on your expertise with OLAP and OLTP data systems to ensure that the data platform is architected in a way that evolves with the needs of the business.
Responsibilities
Own and drive the full cycle of the analytics workflow, from the data platform architecture to data collection from internal and external sources to analysis and visualization.
Own the flow of data across various systems and applications and work with the teams across Engineering and Product to ensure data accuracy and integrity.
Drive thought leadership in collaboration with Product, Operations and Sales teams to commercialize the Metropolis data analytics.
Build an external facing Metropolis analytics product that would provide our clients and partners with actionable insights that align with their goals.
Recruit, manage, mentor, and grow a talented team of directors, managers, analysts, and data engineers.
Work closely with the Product, Operations, Finance, and Sales teams in developing data products to power personalization, optimize conversion rates, analyze field research data and increase revenue.
Own the end-to-end performance of the data analytics and engineering platform.
Own the Data Ops function and develop a strategy that ensures data accuracy and consistency.
Develop a set of monitoring systems that would proactively alert key stakeholders when there are issues with the data.
Requirements and Qualifications
Undergraduate degree in Engineering, Computer Science, Mathematics, Statistics, AI, ML, or a similar technical field. Master's and/or Ph.D. a plus.
15+ years' experience in software engineering and data analytics with at least 6+ years of experience leading data analytics teams.
Ability to lead and grow a diverse team of leaders, analysts, data engineers and data scientists.
Experience being the lead point of contact, consulting with and problem solving with internal and external stakeholders.
Experience defining the strategy and leading the development of the data platform that can scale with the business and powers all analytics.
Very strong data manipulation and database modelling skills. Deep expertise in SQL, data modeling, and warehousing.
Experience working with large scale data systems and solid knowledge of ETL processes.
Excellent written and verbal communication skills, and a strong ability to explain insight extracted from complex data in a way that everyone across multiple technical skill levels would understand.
Experience in business intelligence software such as Tableau, Looker, or similar.
Experience leading offshore teams would be a plus.
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