TMS Test Lead: Data-Driven Go/No-Go Decisions

TMS Test Lead: Data-Driven Go/No-Go Decisions

Full-Time 82800 - 101200 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead data reconciliation and validate complex system integrations in logistics.
  • Company: Zensys, a forward-thinking company based in Melbourne.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Join a team that values innovation and offers excellent career advancement.
  • Why this job: Make impactful decisions using data in a dynamic logistics environment.
  • Qualifications: Experience with TMS like Blue Yonder or SAP TM and strong collaboration skills.

The predicted salary is between 82800 - 101200 $ per year.

Zensys in Melbourne seeks a data-driven professional to lead data reconciliation and validate complex system integrations across the logistics network.

You will apply SDLC/Agile methodologies, manage defects, and communicate with stakeholders to secure go/no-go decisions based on evidence and risk assessment.

Experience with Transportation Management Systems such as Blue Yonder, SAP TM or Manhattan is highly valued, as is familiarity with hybrid delivery models and cross-functional collaboration.

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TMS Test Lead: Data-Driven Go/No-Go Decisions employer: Zensys

As an IAM Consultant/SailPoint Testing Lead at UTS's Broadway campus, you'll thrive in a collaborative environment that values teamwork and open communication. The company offers excellent opportunities for professional growth, with a focus on adapting to challenges and fostering innovation. Enjoy the unique advantage of working in a vibrant academic setting, where your contributions directly impact the learning community and enhance your career trajectory.

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Contact Details:

Zensys Recruitment Team

We think you need these skills to ace TMS Test Lead: Data-Driven Go/No-Go Decisions

Data Reconciliation
System Integration Validation
SDLC Methodologies
Agile Methodologies
Defect Management
Stakeholder Communication
Risk Assessment