Job Description

SAP S/4 Data Migration Lead to support

Location - 3 days onsite in NJ Clark office

• 1. Bachelor’s degree in information technology, or related field.
  2. At least 8+years’ experience with SAP and large project implementations.
  3. 4+ full life cycle SAP implementations of data migration projects
  4. 3 years' experience as a Data migration R2R & P2P consultant – supporting data migration process delivery.
  5. Experience with Material, Customer, and Vendor Master, Transactional Data conversions.
  6. Strong understanding of Data Migration Methodology (ETL) including profiling, cleansing, and validation activities
  7. Experience with using Syniti along with other various data migration tools and solutions that apply to SAP data migration implementations (BODS, MDG, etc.)
  8. Excellent communication both verbal and written to all levels and stakeholder management skills.
  9. Ability to work effectively in a fast-paced and dynamic environment with multicultural teams, on a global project with flexibility for work hours to support global meetings.
  10. Certification in project management (e.g., PMP, PRINCE2) is a plus.
  11. Preferred experience in agile project management and project leadership.
  12. Strong business process acumen for retail, supply chain, manufacturing and D2C business model
  13. French is a plus.

   

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Do

1. Define and Develop Data Architecture that aids organization and clients in new/ existing deals

a. Partnering with business leadership (adopting the rationalization of the data value chain) to provide strategic, information-based recommendations to maximize the value of data and information assets, and protect the organization from disruptions while also embracing innovation

b. Assess the benefits and risks of data by using tools such as business capability models to create an data-centric view to quickly visualize what data matters most to the organization, based on the defined business strategy

c. Create data strategy and road maps for the Reference Data Architecture as required by the clients

d. Engage all the stakeholders to implement data governance models and ensure that the implementation is done based on every change request

e. Ensure that the data storage and database technologies are supported by the data management and infrastructure of the enterprise

f. Develop, communicate, support and monitor compliance with Data Modelling standards

g. Oversee and monitor all frameworks to manage data across organization

h. Provide insights for database storage and platform for ease of use and least manual work

i. Collaborate with vendors to ensure integrity, objectives and system configuration

j. Collaborate with functional & technical teams and clients to understand the implications of data architecture and maximize the value of information across the organization

k. Presenting data repository, objects, source systems along with data scenarios for the front end and back end usage

l. Define high-level data migration plans to transition the data from source to target system/ application addressing the gaps between the current and future state, typically in sync with the IT budgeting or other capital planning processes

m. Knowledge of all the Data service provider platforms and ensure end to end view.

n. Oversight all the data standards/ reference/ papers for proper governance

o. Promote, guard and guide the organization towards common semantics and the proper use of metadata