Senior Data Quality Engineer

Parexel. This role is responsible for identifying what is operationally and technically required for measurement and resolution of data quality related issues.

Key Accountabilities:

Accountability Supporting Activities

Data Quality Profiling & Dashboards • Design and implement Informatica Data Quality capabilities including data quality measurement activities across multiple systems, data domains, data sources

• Develop Data Quality Profiling, Rules, Scorecards, and Workflows

• Support root-cause analysis for data quality issues process

• Design and implement dashboards across data quality dimensions

• Generate periodic dashboards and publish to relevant business stakeholders

• Assist in monitoring data quality trends and recommend appropriate data remediation plan

Stakeholder Relationships • Collaborate with members of the operations teams to understand business requirements, trends and expectations for analysis

• Partner with Corp IT and System owners to identify and document business rules

• Work with Domain Data Stewards to identify systemic data quality issues (e.g., issues that are common across Functions) and coordinate remediation/resolution; propose any data quality issues for escalation

Business Rules • Participate in workshops to define, capture and document business rules

• Design and configure business rules in Informatica Data Quality

• Maintain central repository of business rules for enterprise-wide consumption and usageQualificationsSkills:

• Effective understanding and appreciation of Data Management and Data Quality related concepts

• Excellent problem-solving, written communication, collaboration, team leadership, and critical-thinking skills

• Hands-on experience with creating SQL queries, data modeling, dashboarding and reporting, involving very large datasets and multiple data sources, with ability to interpret data and produce meaningful insights and to build high-volume data-driven solutions

• Ability to troubleshoot, resolve issues, and collaborate on cross-domain issues

• Familiarity with the underlying source systems including Salesforce, Data Lake, Oracle Financials, etc. is a plus

Knowledge and Experience:

• Experience with purpose built data quality tools, and/or disparate systems environments is preferred

• Experience in Informatica suite (IDQ) is required.

• Strong verbal/written communication skills, with ability to effectively interact with individuals at all levels of responsibility and authority

• Adequate experience / exposure to Data Management and Enterprise Information Management

• Familiarity with DQM (Data Quality Management) and/or the IMR (Issue Management & Resolution) process

• Strong familiarity with business processes in the context of the data domain

• Previous experience in pharma and/or life sciences relating to the underlying domain

Education:

Bachelor’s in computer science or a relevant field is preferable. 5-7 years experience.