Data Quality and Governance Lead

3 - 6 years

13.0 - 18.0 Lacs P.A.

Hyderabad

Posted:2 weeks ago| Platform: Naukri logo

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Skills Required

sqlmdgdata qualitymdmwinshuttlemetadatadata managementsaplsmwsap sddata migrationmaster data managementsap s hanaodatasap mdmdata governancesap mmdata maintenancesmartformssap abapsap hanasap workflowoo abapsap mdg

Work Mode

Work from Office

Job Type

Full Time

Job Description

Overview Driving DQ agenda within PGT deployment Define KPIs and Metrics in alignment with global Governance Lead Data migration planning, Execution & Communication E2E delivery of MDG workflow functionalities Integration with Global MDG team to adopt PGT design Lead the End user training and change management Responsibilities Drive continuous improvement of data governance and data maintenance processes for implementing countries/entities Create & Align data standards for master, supplemental and transactional data objects drive adoption of data standards and design principle to drive data consistency and bring efficiency to migration process Governance to Ensure data standards and key decisions are properly documented (i.e. KDDs, DDs, Metadata, DQ Rules, CRDs) build the capability with Pepsico to drive cost efficient delivery model by reducing the delivery work for external partner Excellent oral and written skills to provide clear documentation to project teams, the management and executive leadership, and across multiple geographies Qualifications Bachelors degree required 10+ years of experience with data / conversions / interfaces Demonstrated ability to effectively communicate with all levels of the organization Ability to work flexible hours based on varying business requirements Solves highly complex problems within their work team Ability to quickly adapt to changes in timelines and sequences Adaptability and flexibility including ability to manage deadline pressure, ambiguity and change Data-driven mindset, leveraging a structured analytical approach, and comfortable with manipulating and profiling large volumes of data (demonstrated by skills in SQL, Excel, Access) and data management responsibilities (such as leveraging WinShuttle, MDM/MDG, workflow)

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