Manage end-to-end projects aiming for Data Quality solutions delivery for Clients, Accounts, and Business Lines across the globe.
Identify, analyze, and solution Data Quality problems for Clients, accounts, and Business Lines cross the globe.
Gather requirements from business stakeholders and collaborate with development teams for DQ rules implementation.
Perform QA tests.
Support UAT for DQ rules and scorecards/dashboards.
Collaborate with regional and global Data Governance teams.
Facilitate Data Quality orientation and training to business and operational users.
Provide BAU support post go-live and perform day to day operational tasks related to Data Quality tools such as: Manage data quality tickets.
Collaborate with BI/Ops/Tech teams to investigate/resolve data quality issues.
Provide end user support for clarification related to Data Quality concepts, rules, scorecard, issues and remediation process.
(optional) Develop/design custom DQ reports to perform data assessment in coordination with DG teams.
Contribute to the presentation of Data Quality platform to prospective clients (internal and external).
Collaborate with global DG and DQ teams to enrich current Data Quality platform.
Participate into enriching our Data Governance Wiki with Data Quality related documentation.
Frame communication plan, case studies and success stories in relation to various DQ initiative.
Produce accurate and relevant reports on various KPIs to reflect the team activity.

Must have 4+ years of experience in data domain such as Data Analysis, Data Governance, Data Management, Enterprise Information Management, Data Modeling, and Data Quality Management.
Must have 4+ years of experience in project management.
Must have advanced communication skills.
Must have 1+ year of experience in enterprise scale Data Quality projects.
Must have intermediate expertise in MS Excel, Visio, Word and PowerPoint.
Must have foundational exposure to Data Concepts, i.e. Data Visualization, Data Analytics, Data Mining, Business Intelligence, etc.
Bachelor's degree in Information Management, MIS, Library Science, or Computer Science; advanced degree preferred.
Experience in commercial real estate management or related industry is highly preferred.
Experience in Data Warehouse and Data Lake environments preferred.
Candidates must have experience working in large global organizations with geographically dispersed teams and complex technical environments.

Data Quality Project Manager – Business Analyst

Key skills