Data Product Commercialization Manager

Job Description

Line of Service
Internal Firm Services

Industry/Sector
Not Applicable

Specialism
IFS – Information Technology (IT)

Management Level
Manager

Job Description & Summary
A career in our Analytics Technology practice, within Data and Analytics Technology services, will provide you with the opportunity to help our organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence and data management that helps us drive innovation, growth, and change within the organization 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 stakeholders gain a competitive edge. Our team implements various analytics applications across the firm. As part of our team, you will help us enhance our enterprise data products and data management applications that improve operational effectiveness and provide actionable data analytics and insights.

As a Data Product Commercialization Manager your responsibilities will include:

– Developing the commercial strategy and the commercial direction of data products
– Creating a pricing and go to market strategy for data products
– Partnering with client facing teams to create market strategy for data enablement on key accounts
– Building and managing relationships with customers
– Conducting market research
– Negotiating with customers, suppliers and manufacturers
– Create New Data Products in partnership with customers
– Assist in the drafting of business cases, project plans, test reports, risk assessments, and other project specific documentation
– Acts as client liaison in the development of application functional documentation, including technical specs document, technical data sheets, operational manuals, and training materials
– Lead a team in data-science and machine-learning efforts in support of PwC clients
– Analyze requirements, estimate production time, design solutions, code solutions, test solutions, and document work
– Enhance Existing Products
– Establish Data Infrastructure
– Collect and Analyze Data for Product Design/Development
– Report on Data Management Lifecycle
– Identify new data product target audiences
– Refine data product target audience
– Improve data office brand recognition
– Provide data architecture and technical delivery guidance to the Data Analytics team
– Mentor team of data scientists and provides algorithmic recommendations depending on the data set, acting as SME
– Maximize customer satisfaction and generate long-term relationships
– Ensure adherence to best practices, management processes, and technical constraints
– Design and conduct training on data products to our customers