Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
& Summary
At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decisionmaking. These individuals handle data governance, quality control, and data integration to support business operations.
In data governance at PwC, you will focus on establishing and maintaining policies and procedures to optimise the quality, integrity, and security of data. You will be responsible for optimising data management processes and mitigate risks associated with data usage.
Responsibilities
Key Responsibilities Responsible for EndtoEnd Development Activities in any MDM tool. Experience in developing multidomain MDM solutions. Expertise in working with Banking / Life Science/ Retail/ Manufacturing industry Master Data. Proficient in any leading MDM tool configurations Data Modeling, User Group & Privilege Setup, Hierarchy Management, Workflow Setup, etc. Reference Data Management in the MDM tool. Expertise in Data Quality (DQ) rules, Match and Merge strategies, Golden Records Survivorship Rules, and Match Tuning. Ability to configure the User Interface using Provisioning Tool. Good knowledge of Integration Endpoints (Outbound and Inbound integration endpoints using SOAP, REST, and other upstream/downstream systems). Implement and support data loading to the MDM application. Customize MDM solutions, creating master data management solutions using agile methodologies. Strong understanding of MDM concepts such as Integration Patterns, Trust, Survivorship, Publishing, and Change Data Capture (CDC). Capable of working on new developments by understanding the data model, making changes to the repository as needed, onboarding source data, DQ configurations, and enrichment in MDM. Execution of MDM process and oversee gaps, inefficiencies and improvements needed Deep Understanding of business scenarios and converting them to MDM and RDM business logic Experience in SDLC life cycle activities such as Requirement Analysis, Design, Process Flows, Fit/Gap Analysis, Solution Design, CRP, and Testing Experience in SDLC life cycle activities such as Requirement Analysis, Design, Process Flows, Fit/Gap Analysis, Solution Design, CRP, and Testing Experience in SDLC life cycle activities such as Requirement Analysis, Design, Process Flows, Fit/Gap Analysis, Solution Design, CRP, and Testing Handson experience in SDLC process like requirement analysis, design, process flows, gap analysis, solution design and testing Proactive in identifying and resolving incidents related to MDM and RDM raised by business teams Managing data governance principles including development & updating of rules and regulations, reviewing changes and discussing with concerned business teams
Mandatory skill sets
Master Data Management, ETL, Database Management
Preferred skill sets Master Data Management, ETL, Database Management
Years of experience required
48 Years
Education qualification
BE, B. Tech, MCA, M. Tech
Education
Degrees/Field of Study required MBA (Master of Business Administration), Bachelor of Engineering, Bachelor of Technology
Degrees/Field of Study preferred
Required Skills
Master Data Management
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Process Management (BPM), Communication, Corporate Governance, Creativity, Data Access Control, Database Administration, Data Governance Training, Data Processing, Data Processor, Data Quality, Data Quality Assessment, Data Quality Improvement Plans (DQIP), Data Stewardship, Data Stewardship Best Practices, Data Stewardship Frameworks, Data Warehouse Governance, Data Warehousing Optimization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 17 more}
No
