Key Responsibilities

Build and manage a team of talented data engineers with the ability to not only keep up with current business demand, but also pioneer, in this space. Collaborate with business partners and peers in the organization to understand and scope the problem, gather business requirements and facilitate the data integration process. Bring new perspectives of data use that helps answering previously unanswerable and new questions. Execute all aspects of analytics initiatives including exploratory data analysis, data preprocessing, model development, model deployment. Communicate effectively to all levels of the organization, including executives. Foster internal and external collaboration with teams of varying backgrounds, from the highly technical to the highly creative, to drive success. Partner with business stakeholders to evaluate and approve implementation of tools and processes needed to aggressively drive data solutions and KPIs tracking for new and existing business cases. Lead the buildup of customer 360 to develop a holistic view on customer interaction for better customer experience and product development. Establish consistent, streamlined processes supporting priority use case enablement, coordinating across stakeholder groups.

 

Requirements 

Intellectually curious out-of-the-box thinker who is passionate about brainstorming innovative ways to use data to solve business problems Advanced Experience with emerging data technologies (Azure Platform, Azure Synapse, Databricks and Snowflake) Strong analytics skills, good business sense to connect early-stage company data to decision making Strong Data Modeling and Data Governance Experience Required. Highly proficient in MS Excel, SQL, SSIS, Databricks, and Snowflake, with hands-on experience in various ETL tools and statistical software (Python, SAS, R, Stata, and related technologies.) Proficient in both written and spoken English and Spanish at an advanced level. 

Experience

10+ years of progressive experience in data engineering, product development, and/or data governance. Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or equivalent field. Bachelor’s degree in an analytical field such as statistics, operations research, economics, computer science preferred (graduate degree is a plus). Strong interpersonal, negotiation and communication skills; ability to communicate effectively across the full spectrum of internal stakeholders and customers. Experience in attracting, developing and mentoring diverse talent