Line of Service AdvisoryIndustry/Sector Not ApplicableSpecialism Data, Analytics & AIManagement Level Senior AssociateJob Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. 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.Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more .At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.Responsibilities:· Responsible for End-to-End 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 Hands-on experience in SDLC process like requirement analysis, design, process flows, gap analysis, solution design and testing · Pro-active 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 teamsMandatory skill sets:Master Data Management, ETL, Database ManagementPreferred skill sets:Master Data Management, ETL, Database ManagementYears of experience required:4-8 YearsEducation qualification:BE, B. Tech, MCA, M. TechEducation (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering, MBA (Master of Business Administration)Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required Skills Master Data Management (MDM)Optional Skills 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}Desired Languages (If blank, desired languages not specified)Travel RequirementsAvailable for Work Visa Sponsorship?Government Clearance Required?Job Posting End Date
