PwC Data Analytics Technology, MDM Manager in Washington, District Of Columbia
Line of Service: Advisory
Specialty/Competency: Data and Analytics Technologies
Industry/Sector: HI X-Sector
Time Type: Full time
Government Clearance Required: No
Available for Work Sponsorship: Yes
Travel Requirements: Up to 80%
A career in our Business Intelligence practice, within Data and Analytics Technology services, will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. You’ll make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.
To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
Develop new skills outside of comfort zone.
Act to resolve issues which prevent the team working effectively.
Coach others, recognise their strengths, and encourage them to take ownership of their personal development.
Analyse complex ideas or proposals and build a range of meaningful recommendations.
Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.
Address sub-standard work or work that does not meet firm's/client's expectations.
Use data and insights to inform conclusions and support decision-making.
Develop a point of view on key global trends, and how they impact clients.
Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.
Simplify complex messages, highlighting and summarising key points.
Uphold the firm's code of ethics and business conduct.
Preferred Qualifications :
Degree Preferred :
Preferred Fields of Study :
Computer and Information Science, Management Information Systems
- Demonstrates proven success in roles managing client engagement teams that design and develop Master Data Management (MDM) solutions including MDM strategy, governance strategy, data profiling, data quality and MDM architecture. Demonstrates proven success in roles leading requirements and design sessions, configure the modules, and lead a team to integrate the solutions and migrate data. Demonstrates proven success performing in one or more Oracle MDM applications: Customer Data Hub, Product Data Hub, and Supplier Hub with multiple full-lifecycle implementation projects.
Demonstrates proven extensive knowledge of managing client projects involving one or more of the following areas:
Oracle Product Hub: Designing taxonomies, item extended attributes, item catalog categories, security/access models, managing engineering change requests, new item requests, workflow, import workbench, integration with Product Lifecycle Management systems and planning for data migration;
Oracle Customer Hub: Depth with Trading Community architecture (TCA), Customer hub publication and consolidation capabilities, data stewardship, data model harmonization, de-duplication, alignment with Order Management and Accounts Receivable customer design, configuring Data Quality Management for TCA;
Oracle Supplier Hub: Depth with Trading Community architecture, Supplier hub publication and consolidation capabilities, Supplier Lifecycle Management, import workbench, configuring Data Quality Management for TCA;
Interactions with Oracle Enterprise Data Quality or Information Data Quality;
Business events know-how related to Oracle MDM;
Project experience with Fusion Product Hub.
Demonstrates proven extensive abilities with designing and developing data models, extracting code and cleansing routines that utilize typical data quality functions, i.e. standardization, transformation, rationalization, linking and matching that leverages data standards, processes and technology management for data, master data, and metadata.
Demonstrates extensive ability to develop a business vision and lead implementation efforts with complex project management capabilities.
Demonstrates team leadership including generating a vision, establishing direction and motivating members, creating an atmosphere of trust, leveraging diverse views, coaching staff, and encouraging improvement and innovation.
All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.