לוח משרות דרושים מנהל פרויקטים במערכות מידע בחיפה וסביבתה

our company, a Developer of AI-based autonomous driving solutions, is looking for an R&D Project Manager. The R&D Project Manager will be required to ensure delivery on time, on budget, and on quality. The person chosen for the role will work closely with the Companys various R&D teams to ensure that all project requirements, deadlines, and schedules are being met. Tasks include preparing SOWs, establishing effective project communication and reporting plans, executing them, submitting project deliverables, and preparing periodic status reports. Responsibilities:
* Determine and define project scope and objectives
* Prepare Statements of Work
* Coordinate with cross-discipline team members to make sure that all parties are on track with project requirements, schedules, and deadlines
* Maintain continuous communication with internal and external stakeholders
* Meet with projects team members to identify and resolve risks
* Lead projects from requirements definition through deployment, identifying schedules, scopes, budget estimations, and project implementation plans, including risk mitigation
* Submit project deliverables to customers after ensuring that they adhere to quality standards
* Prepare status reports by gathering, analyzing, and summarizing relevant information
* Manage Change Requests to ensure that all parties are informed of the impacts on schedule and budget
* Coordinate the preparation of user manuals, training materials, and other documents as needed to enable successful implementation
* Conduct post-project evaluation and identify successful and unsuccessful project elements

we are looking for a Business Data Migration Project Manager.
Position can based in Yoqneam Illit, North, Israel or Memphis, TN.
Responsibilities may include the following and other duties may be assigned.
Scoping & Planning
Partner with the Operating Unit ( OU) Deployment Team and Functional Subject Matter Experts (SMEs) to define data migration needs during early scoping and planning phses.
Document the objects, attributes, metadata, and structures required for successful migration.
Assess source systems to determine data completeness, quality, and alignment with target-system requirements.
Identify areas that require deeper investigation, including specialized data, system nuances, or complex integrations.
Data Readiness, Quality & Remediation
Evaluate data quality with Legacy Data SMEs, identifying issues in structure, integrity, duplication, and consistency.
Define quality expectations including format rules, validations, cleansing requirements, and acceptance criteria.
Develop and support execution of remediation, enrichment, and cleansing strategies that prepare data for migration.
Cross‑Functional Collaboration
Facilitate workshops and working sessions with SMEs, QMS representatives, regulatory stakeholders, and IT partners.
Identify integration touchpoints and dependencies across systems.
Ensure stakeholders understand migration scope, responsibilities, and quality expectations.
Migration Requirements & Validation Support
Create initial functional data and attribute requirements needed by the Migration Lead and technical teams.
Support mapping, transformation logic discussions, and early discovery validation.
Participate in the development and execution of validation plans, including cycle-level test activities and issue investigation.
Lead or contribute to reconciliation meetings to ensure completeness, correctness, and alignment between source and target systems.
Execution Support & Issue Resolution
Assist the Migration Lead in triaging data issues related to mapping, attributes, hierarchy, or structure.
Provide targeted data extracts and analysis to support SME remediation efforts.
Track issues and ensure cross-functional awareness of items affecting downstream or upstream processes.
Program Communication & Risk Management
Communicate risks, dependencies, and data readiness concerns to the Core Team.
Identify and escalate bottlenecks or data-related constraints that could impact migration planning or deployment timelines.
Maintain clear documentation of decisions, assumptions, and data-related considerations throughout each migration phase.
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