Enterprise Systems Support Specialist

EDUCATION and EXPERIENCE:

Required:

Bachelors degree in Computer Science Systems Engineering Mathematics Economics Information Management or Statistics

professional experience in at least 2 of the following types of platforms Enterprise Resource Planning (ERP) Customer Relationship Management (CRM) Enterprise Data Management (EDM) Financial Planning and Analysis (FP&A).

Desired:

Working experience in an international and multifaceted or matrix organization

Project management qualification or experience

Interest or previous working experience in graphic design

KEY COMPETENCIES:

Technical expertise with ERP architecture configurations and support especially with the following modules (Financials Project Management Financial Planning and Analysis HR and Expenses). Knowledge on multiple ERPs a plus.

Working knowledge of data models database design development and data engineering.

Working knowledge of a variety of data management and business intelligence applications and tools is a plus.

Experience in collecting and documenting business requirements and translating them into technical specifications

Good knowledge and appreciation of datarelated technology trends and standards

Good knowledge of FP&A CRM Travel management and other relevant platforms.

Experience in using PowerShell and similar tools is a plus.

Software development experience is a plus.

Strong analytical skills with the ability to collect organize analyse and disseminate significant amounts of information with attention to detail and accuracy

Strong written and oral communication skills in English.

Deliverables

1. Support to the ERP (Unit4 ERP) is provided at 1st and 2nd levels.

2. Liaison with consultancy as a service for the ERP to manage projects related to fixing enhancing the ERP.

3. Documentation on all enterprise systems configuration and changes.

4. Proactive administrative and technical support to the projects of ERP replacement Financial Planning and Analysis enhancements CRM enhancement and related projects.

5. User guides technical documentation and knowledge transfer materials

Performance Measurement

1. Key Performance Indicators (KPIs)

Documentation quality: Thorough and clear documentation.

Training satisfaction: Satsifaction rating from the training delivered to end users.

Working solution: Solution is working automatically and free of bugs.

Timeliness: The consultant will be evaluated on their ability to meet deadlines and milestones as outlined in the timeline.

2. Performance Review

Weekly meetings with the consultant will be carried out to review project plan obstacles and adjustments to the timeline. During the meetings feedback will be provided to steer performance and prioritize objectives if needed.

Evaluation Criteria

Certification in MS SQL Server or similar.

Years of experience with relevant ERP CRM and similar enterprise tools (unit4 experience is a must).

Years of experience of providing support to business functions including finance HR and project management.

Confidentiality

As a condition of engagement with CGIAR the Data Engineer (the Consultant) acknowledges and agrees to the following confidentiality obligations relating to the access use handling and protection of personal data and other sensitive information:

1. Confidential Information
   The Consultant understands that during the course of engagement they may have access to confidential proprietary and sensitive information including but not limited to:
• Personal data as defined under applicable data protection laws (e.g. GDPR DPA 2018;
• Technical and business information relating to systems software datasets infrastructure and security;
• Any information documentation or datasets marked or reasonably understood to be confidential.
2. Use and Disclosure
   The Consultant agrees to:
• Use confidential information solely for the purpose of fulfilling their duties and responsibilities;
• Not disclose share copy transmit or otherwise make available any confidential information to unauthorized persons within or outside the organization either during or after the period of engagement;
• Handle personal data strictly in accordance with internal policies contractual obligations and applicable data protection laws and regulations.
3. Data Protection Compliance
   The Consultant commits to:
• Adhere to the organizations Data Protection Policy Acceptable Use Policy and Information Security Protocols;
• Complete mandatory data protection and information security training as required;
• Promptly report any actual or suspected data breaches unauthorized access or misuse of personal data.
4. Return or Destruction of Information
   Upon termination of engagement or upon request by the organization the Consultant shall return or securely destroy all confidential and personal data in their possession in accordance with organizational policies and procedures.
5. Survival of Obligation
   These confidentiality obligations shall survive the termination of the Consultants engagement for any reason and remain in effect until such confidential information becomes publicly available through no fault of the Consultant.
6. Breach and Remedies
   Any breach of this confidentiality obligation may result in disciplinary action including termination of consultancy and may lead to civil or criminal liability. The organization reserves the right to pursue legal remedies to protect its interests.

Required Experience:

Unclear Seniority