Vice President, Data Engineering and Analytics

July 11

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Metropolis Technologies

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Metropolis is a mobility commerce platform connecting mobility, local businesses, and payments for the first time.

201 - 500

Description

• 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. Lead the development of a data platform that ensures that reports meet page load SLA's, regardless of the level of report customization and data growth. • 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

• 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.

Benefits

• healthcare benefits • 401(k) plan • short-term and long-term disability coverage • basic life insurance • lucrative stock option plan • bonus plans