Data Product Commercialization Manager

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

To be successful in this role, your background must include the following:

• Bachelors degree in Mathematics, Computer Science or similar engineering discipline
• Minimum of 5+ years experience working in a customer facing role driving commercial value from data products, creating go to market strategies, pricing strategy and building strong relationships with customers in the region
• Leading design and implementation of data products
• Strong experience in conducting workshops with customers in a trusted advisor capacity
• Experience in Design Thinking workshops and all related activities, designing solutions that balance user needs, commercial interests, and technological constraints, and including design strategy, service design, design research
• Experience planning and executing customer design projects through holistic understanding of problem areas, iterative solution design, executive stakeholder management, and integration of business and technical experts
• Minimum 8+ years of relevant work experience in agile/scrum software development, data science settings with a focus on developing projects using Data warehousing and cloud environments (e.g. Azure, Google Cloud, Digital Ocean)
• Strong Experience in Microsoft Development Toolkit (SSIS, SSAS, Azure Data Factory, Visual Studio)
• Experience in designing and implementing User Interfaces at an Enterprise Level
• Experience with NoSQL, Relational, Multimodal and Graph databases
• Strong system architecture and design experience to include deploying production enterprise applications in cloud environments that use AI/ML
• Experience with scripting and programming languages in Python, R and Java
• Experience conducting qualitative and quantitative research and synthesizing to provide insights, identify opportunities, and generate conceptual frameworks.
• Following skills are nice to have: Strong experience with Machine Learning algorithms, techniques and tools Experience with Jira, Confluence, Visio, MS DevOps, and MS Project Master’s degree in Data Science Experience with open source development tools (GitHub, GitLab, etc.).

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Consulting, Data Analytics, Price Setting

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Yes

Government Clearance Required?

No

Job Posting End Date