Data Feature Lead–Data Migration &Governance–MM&Logistics

 Minimum Requirements

Education required/preferred:

• Bachelor’s / Master’s degree in Engineering / Computer Science

Experience:

• 12-17 Years of SAP experience in Consulting
• Applicant should be an architect level person with expertise in SAP MM / PP / QM/ PM and worked in ECC & S4 HANA environments.
• Must have rich domain expertise in Logistics and SAP implementation experience in a large-scale Global implementation(s).
• Well experienced in process designs, configuration, testing and Integration with SAP & Non-SAP applications
• Lead / involved in master data vision and strategy, processes, tools and implementation strategy for Data Migration
• Well versed in Data Cleansing, Mapping, Transformation, Enrichment, Validation, Migration and Reconciliation post migration.
• Prepared / part of cut over strategy, Go-live preparation and post go live support
• Integration experience of ERP core to SAP & Non-SAP systems
• Good to have working or understanding on SAP MDG & associated integrations
• Need to work closely with data architects, Enterprise architects and platform architects
• Ability to influence multiple levels on highly technical issues and challenges
• At ease in establishing senior level working relationships & communications
• Ability to work in a virtual team which may work across distance (remote), cultures and time zones, in a matrix with multiple reporting lines, and may extend outside the  organization including suppliers, partners and customers

Skills / Competencies

Service level management: Ensures that service delivery meets agreed service levels. Creates and maintains a catalogue of available services. In consultation with the customer negotiates service level requirements and agrees service levels. Diagnoses service delivery problems and initiates actions to maintain or improve levels of service. Establishes and maintains operational methods, procedures and facilities in assigned area of responsibility and reviews them regularly for effectiveness and efficiency.

Autonomy: Has defined authority and responsibility for a significant area of work, including technical, financial and quality aspects. Establishes organizational objectives and delegates responsibilities. Is accountable for actions and decisions taken by self and subordinates.

Influence: Influences policy formation on the contribution of own specialism to business objectives. Influences a significant part of own organization. Develops influential relationships with

Complexity: Performs highly complex work activities covering technical, financial and quality aspects. Contributes to the formulation and implementation of IT strategy. Creatively applies a wide range of technical and/or management principles.

Business Skills: Absorbs complex technical information and communicates effectively at all levels to both technical and non-technical audiences. Assesses and evaluates risk. Understands the implications of new technologies. Demonstrates clear leadership and the ability to influence and persuade. Has a broad understanding of all aspects of IT and deep understanding of own specialism(s). Takes the initiative to keep both own and subordinates' skills up to date and to maintain an awareness of developments in the IT industry.

Information management: The overall governance of how all types of information, structured and unstructured, whether produced internally or externally, are used to support decision-making, business processes and digital services. Encompasses development and promotion of the strategy and policies covering the design of information structures and taxonomies, the setting of policies for the sourcing and maintenance of the data content, and the development of policies, procedures, working practices and training to promote compliance with legislation regulating all aspects of holding, use and disclosure of data.

Organizational Relationships / Scope:

Role will report to a Manager in the ITS EDM&A organization and will have no direct reports.

Key Interfaces:

• Data Migration / Governance Leads and their working groups
• Value Stream Owners
• Global and Regional Data Owners
• Solution Architects
• Global and Regional Process Owners
• Enterprise Architects
• Business-based data stewards and local business resources
• Data Feature Engineers
• Business stakeholders

External Interfaces:

• Consultants
• 3rd Party providers