• Ivy Exec
  • $106,390.00 -159,250.00/year*
  • Parsippany , NJ
  • Information Technology
  • Full-Time
  • 125 Janelle Blvd

A Manager at Leading Management Consulting Company will manage and deliver components of client engagements that design and implement technology based business solutions for large multi-national organizations. Key responsibilities will include: Manage teams in the identification of business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures. Formulate planning, budgeting, forecasting and reporting strategies. Manage full life cycle implementations. Develop statements of work and/or client proposals. Identify business opportunities to increase usability and profitability of information architecture. Experience with program leadership, governance and change enablement. Develop and manage vendor relationships. Lead workshops for client education. Manage resources and budget on client projects. Assist and drive the team by providing oversight. The Team Analytics & Cognitive In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The Analytics & Cognitive team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. Analytics & Cognitive will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Qualifications Required: 6 years of relevant data management consulting or industry experience (master data, metadata, data architecture, data governance, data quality, data modeling) 4 years experience with Informatica MDM 4 years of experience leading and managing data delivery project teams through all phases of the project lifecycle from scoping and planning, requirements gathering, design, development, testing, and go live. Significant experience leading complex data management engagements and team sizes ranging from 5 to 20 resources Bachelors Degree or equivalent professional experience Ability to travel 80-100% of the time (Monday Thursday/Friday) Preferred: Experience with other data management toolsets: SAP MDG, Reltio, PIM, SAP BODS, etc. An advanced degree in the area of specialization Proven skills as a team member, team lead or project manager on multiple full life cycle implementations. A proven resource in defining systems strategy, developing systems requirements, designing and prototyping, testing, training, defining support procedures, and implementing practical business solutions under multiple deadlines. Eagerness to mentor junior staff and raise quality of data strategy, design and implementation across the practice by sharing insights and methods through training, community, etc. Committed to gaining exposure to multiple industries while further developing your career. Adept at implementing technology-enabled business solutions for clients as part of a high-talent team. Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).
Associated topics: data administrator, data center, data engineer, data manager, data warehouse, database, database administrator, etl, mongo database administrator, sybase

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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