Data Analytics Lead Product Manager - SD-ATA -0003 - ARG000SA
EY’s intent is to move rapidly to embed Analytics into all our offerings. The objective of the Data Analytics Program is to deliver the technology, infrastructure, and services that will enable this intent. The program is developing and deploying capabilities for client data capture, data movement, data modelling and visualization, analytics opportunity pursuits and Big Data. The Data Analytics Senior Product Manager will be responsible for managing vendor product lifecycle of vendor products into the various delivery platforms to support this effort.
Establish and refine product lifecycle management’ process for Analytic tools deployment for desktop as well as Flex/Cloud based deployments
Project Manage the release of vendor software and updates into the various reference architectures supported by the Global Analytics Groups
Track usage and adoption of Data Analytics tools across the firm and service lines.
Maintain lists of users and contact information for field communications and surveys.
Provide regular updates to Sr. Leadership on trends, adoption and risks in the Data Analytics Program
Identifying and recommending product or feature prioritization based on business requirements, engagement revenue, usage data and feedback relating to analytics.
Coordinate partner activities leading to adoption of Data Analytics
Consolidate and communicate partner content for reuse internally.
Work with the primary contact point to manage and reassign licenses for the various analytics tools currently deployed or going through procurement.
Recommend ways to maximize value in existing license structure across the firm.
Knowledge, Skills, Experience requirements:
Demonstrates understanding of scope, schedule and planning; understanding of time management, resource management cost management. Possesses good project management skills.
Background in analytical software (e.g., IBM SPSS, TIBCO Spotfire, SAS, Tableau)
Knowledge of technologies in the marketplace.
Qualifications, Certifications, Education requirements:
Bachelor's degree and approximately 3-5 years of related work experience; or combination of education and experience.