Lead Director, Data Engineering

CVS Health•Irving, TX

5d•$209,394 - $288,400•Hybrid

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary: Caremark LLC., a CVS Health company, is hiring for the following role in Irving, TX: Lead Manager, Data Engineering to plan, direct, and coordinate activities for data engineering teams. Duties include: direct daily data engineering operations across the enterprise, analyze workflow, establish priorities, and develop and execute strategic engineering roadmaps; apply analytical rigor and advanced statistical methods to the analysis of large amounts of data from pharmacy benefits management, specialty, retail, and/or healthcare businesses; lead a team of Data Engineers and Data Scientists designing and delivering analytics projects and experiments that inform solutions for in-house teams (i.e., pharmacy pricing, medical costs, risk scores, onboarding) and customer engagement across critical journeys (i.e., calories, heart rate, breast cancer, maternity); manage large data-driven information technology projects incorporating data exploration, model building, performance evaluation, and testing in order to evaluate scenarios, predict outcomes, and provide usable information on health metrics and future outcomes; identify business needs that can be addressed with advanced analytics and translate analytics into business value; present analytics results and compelling business insights to executives; review project plans and coordinate project activity; and mentor and assign and review the work of Data Engineers and junior team members. Telecommuting available. Multiple positions.

Requirements

Master’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, Information Systems, or a related field and four (4) years of experience in the job offered or related occupation.
Four (4) years of experience in analyzing large data sets from multiple data sources
Four (4) years of experience in data analysis for retail and/or healthcare industries
Four (4) years of experience in programming in Java, Python, or R
Four (4) years of experience in SAS or SQL programming languages
Four (4) years of experience in databases: Oracle, Teradata, or DB2
Four (4) years of experience in Spark, PySpark, or Scala
Four (4) years of experience in Hadoop architecture or HDFS commands
Four (4) years of experience in Hadoop and Hive
Four (4) years of experience in domain support for healthcare or retail organization
Four (4) years of experience in software testing, quality assurance, and troubleshooting
Four (4) years of experience in writing Extract/Transform/Load (ETL) processes
Four (4) years of experience in designing data models and solutions for analytical and reporting use cases
Four (4) years of experience in Big Data implementation
Four (4) years of experience managing consulting engagements including requirements gathering, data requests and reports, progress updates, issue resolution, and documenting analytics findings
Four (4) years of experience creating functional project plans, developing new operating models, giving executive presentations, establishing working teams with functional leads across the enterprise, and developing integration business plans, budgeting, financial baseline comparison, and plans to capture synergy value
Four (4) years of experience in leadership of business analyses and initiatives
Four (4) years of experience in MS Excel, including writing advanced Excel formulas and using conditional, vlookups/hlookups, sorting and filtering, array formulas, and VBA macros, pivot reporting, and conditional formatting
Four (4) years of experience in leadership of cross-functional projects
Four (4) years of experience developing high-impact presentations for senior-level leaders
Four (4) years of experience communicating technical concepts and implications to business partners
Four (4) years of experience presenting quantitative reports and analysis to executive-level audiences
Four (4) years of experience translating high-level business goals to technical and process requirements

Responsibilities

Direct daily data engineering operations across the enterprise, analyze workflow, establish priorities, and develop and execute strategic engineering roadmaps
Apply analytical rigor and advanced statistical methods to the analysis of large amounts of data from pharmacy benefits management, specialty, retail, and/or healthcare businesses
Lead a team of Data Engineers and Data Scientists designing and delivering analytics projects and experiments that inform solutions for in-house teams (i.e., pharmacy pricing, medical costs, risk scores, onboarding) and customer engagement across critical journeys (i.e., calories, heart rate, breast cancer, maternity)
Manage large data-driven information technology projects incorporating data exploration, model building, performance evaluation, and testing in order to evaluate scenarios, predict outcomes, and provide usable information on health metrics and future outcomes
Identify business needs that can be addressed with advanced analytics and translate analytics into business value
Present analytics results and compelling business insights to executives
Review project plans and coordinate project activity
Mentor and assign and review the work of Data Engineers and junior team members