Data Quality Portfolio Manager

**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