Associate/Sr Associate-Data Quality - KMK Consulting

Associate/Sr Associate- Data Quality 

Location: Morristown, NJ

Come work with us!

KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions.

Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence in delivering analytical guidance to the field through SalesOps?, our cloud-based sales planning, and operations platform. We are leaders in managing data using the latest cloud information management and big data technologies.

We have more than 180 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform.

• 2-4 year's minimum experience 
• Strong understanding of Commercial Pharma Processes and Data Quality 
• Review and address any gaps in Data Quality Rules and Provide Recommendation on Improvements
• Monitor DQ on daily/weekly/monthly basis and ensure that all Operations DQ are proactively monitored and addressed
• Manage the product back log for Data Quality Rule engine and Library of DQ dashboards and recommend improvements
• Extensive experience of developing and implementing a Data Quality Management service in a Pharmaceutical Domain
• Works with product owners, data users to define data quality standards and metrics in order to drive continuous improvement in data quality
• Responsible for ensuring integrity of data and monitoring/auditing overall quality of data per established policies and standards
• Assess, design and implement internal control frameworks around data management, data governance and data quality within complex system landscapes
• Establish & maintain Data Quality Scorecards to pro-actively monitor and report on data quality across the different teams
• Create and manage a Data Quality Issue Management process
• Conduct data profiling to support data activities across the teams