PwC Data and Analytics Technologies, Manager in Dallas, Texas
Specialty/Competency: Data and Analytics Technologies
Industry/Sector: HI X-Sector
Time Type: Full time
Government Clearance Required: No
Available for Work Sponsorship: No
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 Senior 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:
Encourage everyone to have a voice and invite opinion from all, including quieter members of the team.
Deal effectively with ambiguous and unstructured problems and situations.
Initiate open and candid coaching conversations at all levels.
Move easily between big picture thinking and managing relevant detail.
Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required.
Contribute technical knowledge in area of specialism.
Contribute to an environment where people and technology thrive together to accomplish more than they could apart.
Navigate the complexities of cross-border and/or diverse teams and engagements.
Initiate and lead open conversations with teams, clients and stakeholders to build trust.
Uphold the firm's code of ethics and business conduct.
Basic Qualifications :
Minimum Degree Required :
Required Fields of Study :
Computer and Information Science, Management Information Systems
Minimum Years of Experience :
Preferred Qualifications :
Preferred Knowledge/Skills :
Demonstrates extensive knowledge of managing client engagement teams that design and develop business intelligence (BI) and predictive models for data warehouse (DW) information management architecture, including:
Evaluating enterprise DW architecture feasibility, risk and technologies related to business change (i.e. assessing, identifying and recommending BI and related business stakeholders' data requirements; BI solution prototyping and development; processes and performance from business and technical standpoints; and the impact of data changes on business and/or IT processes);
Advising CXO's on emerging BI/DW technologies and strategies consistent with clients' business strategies;
Prioritizing, preparing and implementing BI and/or DW architectural improvements (i.e. developing and recommending alternative DW technical and data management solutions, methodologies, strategies and architectural improvement plans);
Developing and validating business stakeholders' conceptual data models, including socializing and implementing logical and physical DW/data mart data models; identifying data sources and metadata (including business rules, definitions, attributes, etc.) to deliver analytic requirements.
Demonstrates extensive abilities interacting with end-users to understand and document business and functional requirements, data sources, metadata, and conceptual data models for complex projects, including at least two full lifecycle implementations, BI/SQL, DW/SQL/ETL/Modeling tools and other related technologies involving:
BI and enterprise DW data management, modeling, integration and/or synchronization, quality, security, conversion and analysis, star schema and relational reporting models, enterprise data management policies, procedures, compliance and risk management and/or database administration;
Design and development of data models, extraction code and cleansing routines utilizing 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; and, data security (including data masking and related data protection techniques).
Demonstrates extensive ability to develop a business vision and lead implementation efforts with complex project management capabilities, including:
Identification and addressing of client needs- developing and sustaining deep client relationships using networking, negotiation and persuasion skills to identify and sell potential new service opportunities; preparing and presenting complex written and verbal materials; and defining resource requirements, project workflow, budgets, billing and collection;
Team leadership- 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.