Data Quality Portfolio Manager
Mars · Guararema, São Paulo, Brazil
**Job Description** In today's digital landscape, enterprise data is a strategic asset and a digital product; its accuracy, consistency, and timeliness are vital for operational excellence and the success of our GenAI and Large Language Model (LLM) initiatives. Having invested heavily in a robust, multi\-year portfolio of data quality rules and profiling solutions, the organization requires continuous optimization of these rules to match evolving business needs. The **Data Quality Portfolio Manager** exists to strategically manage this global portfolio of solutions, ensuring seamless governance, driving mass cleansing, and partnering across regions and segments to deliver superior enterprise data quality. **What will be your key responsibilities?** **Global Portfolio Strategy \& Rule Management** * Govern Global DQ Portfolio: Direct and sustain the portfolio of global, regional, and segment\-specific Data Quality (DQ) rules through close collaboration with Data Councils, Regional Stewards, and Data Champions. * Translate Standards to Rules: Work hand\-in\-hand with Global Data Councils to translate global and segment\-specific data standards into active, systemic Data Quality rules. * Champion Global Tools: Actively influence and support the adoption of a unified global set of tools, frameworks, and processes to implement and scale data quality across the enterprise. **KPI Collaboration \& Governance** * Establish Shared KPIs: Partner and collaborate with Global Data Councils, Business Process Owners, and MDM Service Managers to align on and agree to key performance indicators (KPIs) for data health. * Manage KPI Development \& Tracking: Take accountability for managing the technical development, deployment, and regular monitoring of agreed\-upon KPIs to provide a clear, transparent view of data compliance. * Enforce Data Health Standards: Reinforce compliance with agreed KPIs in partnership with Regional Stewards and local business/operating units to drive data discipline. **Collaboration \& Operational Capacity Planning** * Sustain Efficient Operations: Collaborate with MDM Service Managers to establish priorities, run efficient day\-to\-day DQ operations, and secure forward\-looking capacity planning for major Segment, Regional, and Global MDM initiatives. * Shape Technology Roadmap: Partner with Technology Leads to define and communicate functional requirements for the continuous improvement of existing and deployment of future data quality systems. **Data Cleansing \& Continuous Improvement** * Drive Mass Cleansing: Partner with Regional Stewards to identify, prioritize, and execute targeted mass data\-cleansing activities. * Promote "First Time Right" Culture: Identify and drive Continuous Improvement Processes (CIP) and "First Time Right" (FTR) data entry opportunities within the regions to prevent data debt at the source. **Qualifications** * Has a minimum of 10\-12 years of experience in Master Data Management and/or Data Quality initiatives spanning multiple data domains in a complex multi\-national corporate environment. * Sound understanding of Data Quality dimensions, Data and Technical Lineage concepts. * Proven experience of delivering solutions using ML/AI technologies * Proven track record of delivering user\-facing data monitoring and cleansing applications/solutions. * Considerable experience with SAP Data Services and Information Steward or similar ETL and Data Quality Engines * Considerable experience with SAP Data Models and understanding of SAP Integration options * Ability to explain complex technology concepts using common language * Proven experience in managing Partner resources and technology projects * Fluent in spoken and written English; any additional language is an advantage * Bachelor’s degree in business or similar \#TBdigital