The posting
Company Overview
Virtusa is a global IT services leader delivering transformational consulting, technology, and outsourcing solutions. We serve Global 2000 clients across Banking, Insurance, Telecom, Technology, and Media, driving business performance and innovation worldwide.
Job Summary
Lead data management initiatives by organizing datasets, implementing governance policies, facilitating Agile delivery, and collaborating with cross-functional teams to design data solutions that enhance business outcomes.
Responsibilities
- Manage and organize large datasets through data acquisition, cleaning, transformation, and storage to ensure data usability and integrity
- Develop and implement data governance policies and procedures to maintain data accuracy, completeness, and security
- Facilitate Agile ceremonies including sprint planning, backlog refinement, reviews, and retrospectives to drive team collaboration among interns, data engineers, data managers, and product owners
- Prepare test cases and validate data accuracy in collaboration with engineering teams to ensure quality deliverables
- Design and improve onboarding materials, 30-60 day plans, and training programs for new hires including interns, data engineers, and data managers
- Standardize documentation in Confluence and streamline team processes to enhance operational efficiency
- Collaborate with cross-functional teams to design and implement data solutions that meet evolving business requirements
- Develop and maintain data dictionaries, metadata, and documentation to support effective data management and analysis
- Establish and monitor data quality metrics and processes to continuously improve data reliability
- Provide technical leadership and mentor junior data analysts to build team capability
- Stay current with emerging trends and technologies in data management and analysis to drive innovation
- Coordinate data ingestion requirements, conduct schema reviews, document metadata, and ensure data quality and consistency
- Utilize data visualization tools such as Tableau or Power BI to present insights and support decision-making
- Apply business analysis skills to define requirements and support data projects
Preferred competencies and qualifications
- Degree or qualifications in Computer Science, Information Management, or related fields
- Experience with data management tools including SQL, Python, or R
- Professional certifications in data management such as Certified Data Management Professional (CDMP) or DAMA-CDMP
- Experience with big data technologies like Hadoop or Spark
- Experience with cloud-based data platforms such as AWS or Azure
- Experience with machine learning and predictive analytics
- Experience working with geospatial data



