# SAP Project Manager at Natuvion GmbH

> Onsite · Argentina · Manager · Other · open. Source: https://alderhq.app/jobs/recruitee%3Anatuvion%3A1455694 (read 2026-11-10).

## Facts (observed)

- Company: [Natuvion GmbH](https://alderhq.app/companies/natuvion-gmbh)
- Location text: Buenos Aires, Buenos Aires, Argentina
- Where it can be done from (inferred): Onsite · Argentina (evidence: "Location: Buenos Aires, Buenos Aires, Argentina")
- Posted: 2024-02-28 (986 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://natuvion.recruitee.com/o/sap-project-manager-2

## Pay and sponsorship

- Posted pay: $72k–$90k per year (from the listing's pay field)

## Description (the employer's text)

### Transformation SAP Project Manager

### About Natuvion

Natuvion helps companies move business‑critical data and processes from one technology platform to another, and supports organizations in achieving data privacy and security compliance through structured assessments and mitigation planning.

We are a founding member of the SAP S/4HANA Selective Data Transition Engagement Community, specializing in selective data moves from SAP ECC to SAP S/4HANA.

Beyond SAP, Natuvion delivers expertise across Salesforce, Boomi, MuleSoft, Celonis, and powercloud.

Featured in the Inc. 5000 and FT 1000, Natuvion is one of the fastest‑growing global technology firms, headquartered in Walldorf, Germany with offices in the US, Australia, Austria, and Slovakia.

We are looking for an experienced SAP Project Manager to lead full end‑to‑end SAP S/4HANA transformation projects. You must have served as the lead PM on at least one full S/4HANA implementation, including hands‑on ownership of data migration activities.

You’ll apply your PMP or Scrum Master certification, SAP Activate expertise, and transformation leadership skills—while we provide training on one of the world’s top data conversion platforms.

### What You Bring

✔ Lead PM on at least one full SAP S/4HANA transformation (required).

✔ PMP or Scrum Master (required).

✔ SAP Activate certification (preferred).

✔ Strong SAP delivery and data migration experience.

✔ Degree + SAP methodology training (ideal).

✔ German or Spanish a plus.

✔ Strong qualities: communication skills, proactive, accountability, assertive, organization, time management, risk management, stakeholder management, problem solving, adaptability.

### What You’ll Do

Lead complex SAP S/4HANA projects from planning to go‑live.

Drive cross‑functional teams and global stakeholders.

Oversee data migration strategy, mock cycles, validation, defect management, cutover, and post-go-live stabilization.

Deliver clear and actionable status reporting, steering committee materials, and risk/issue logs, ensuring executive-level communication.

Build and manage comprehensive plans covering scope, schedule, budget, risks, interdependencies, and resource requirements.

Support process transformation and organizational change.

### Why Join Us

Optional travel opportunities (U.S., Germany, Austria, Slovakia, Switzerland, Australia).

Access to industry‑leading data conversion technology.

Collaborative, global team environment.

### Requirements

You must be located in Buenos Aires, Argentina for this position because some work is office based.

You will use your SAP Activate and your PMP skills and from our side we will provide training and knowledge on one of the world's top data conversion platform programs.

Ideally, you have a degree, PMP and be trained in SAP Activate Methodology.

Experience being the lead PM on at least one SAP S/4HANA Implementation and data migration within that project - this is mandatory.

Being fluent in English is a must, and fluent in German is a plus

Travel is optional, however if you wish there is opportunity to travel in USA, Germany, Austria, Slovakia, Switzerland and Australia.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/recruitee%3Anatuvion%3A1455694 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.