Advisory Financial Services Digital Tech Director, Analytics
May 29, 2018
New York, New York
Full Time - Experienced
Bachelors or equivalent
PwC/LOS Overview PwC is a network of firms committed to delivering quality in assurance, tax and advisory services.
We help resolve complex issues for our clients and identify opportunities. Learn more about us at www.pwc.com/us.
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PwC Advisory helps our clients with their most challenging imperatives from strategy through execution. We combine the breadth of knowledge of over 48,000 global professionals with deep industry knowledge to deliver custom solutions for our clients. We work with the world's largest and most complex companies and understand the unique business issues and opportunities our clients face.
Job Description The Financial Services industry is operating in a challenging environment due to global economic pressure, increasing regulatory demands and capital requirements as well as significant operational and technology changes. Our growing Financial Services Advisory practice provides management, technology and risk consulting services to help major financial institutions around the world respond to their most complex business challenges.
The Financial Services Advisory practice is composed of three industry sectors: Asset Management, Banking & Capital Markets and Insurance.
Our Information Management consultants help clients maximize the value of their data.
This high performing team helps clients define their
information strategy, architecture and governance, get the most value from business intelligence and analytics, and implement enterprise content and data management solutions to reduce cost and complexity, increase trust and integrity, and improve operational effectiveness.
Position/Program Requirements Minimum Years of Experience: 8
Minimum Degree Required: Bachelor's degree in Computer Science or any MIS related field
Knowledge Preferred: Demonstrates functional expertise of strategic sourcing, including: practices and methodologies, technology functionality, discrete spend category optimization, e-sourcing applications, organization modeling, contract management, spend analytics, vendor negotiations, large-scale implementation, supplier relationship management, online and reverse auctions, MRO/Indirect spend, forecasting, supply planning, inventory management, demand planning and management, production planning, master scheduling, vendor relationships, cost rationalization, MRP, EOQ, safety stock levels, capacity modeling, metrics reporting, and Just-in-Time environments in global operations. Demonstrates expertise of leading 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.
Skills Preferred: Demonstrates expert-level 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 software development life cycles, 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 proven success with leading and managing business development opportunities and engagements from pre-sale and initial scoping through final delivery and signoff, developing business vision and leading implementation efforts including: - Strategy development writing, communicating, facilitating, and presenting cogently to and/or for all levels of industry audiences, clients and internal staff/management.