ServiceNow SPM Consultant & Quality Integration Engineer (m/f/d)

Your role in our team As part of Körber's group-wide strategic agenda, ServiceNow Strategic Portfolio Management (SPM) is currently being established as the single source of truth for all innovation and R&D portfolio activities across Körber's Business Areas and Business Units. This role is critical to that mission: it ensures that data from distributed third‑party systems is reliably ingested, transformed, validated, and maintained within the ServiceNow SPM platform, forming the data backbone that all portfolio decisions depend on. This role also goes beyond the mere technical execution and requires a genuine understanding of the underlying business domains and its data. Responsibilities

Act as the go‑to person for SPM platform questions and data‑related issues raised by Business Area users or the application team. Support go‑live phases by coordinating with data owners to ensure portfolio data is clean, complete, and ready for use. Contribute to integration tests and UAT, ensuring data correctness and that the platform behaves as business users expect. Build a solid understanding of how innovation and R&D portfolio management works in practice – including project lifecycles, key data entities (status, budgets, resources, milestones), and what good data looks like from a business perspective. Use that understanding to actively curate portfolio data – identifying issues that pass technical checks but are wrong in a business context, and working with data owners to resolve them. Act as a practical advisor to Business Area data owners, helping them understand data quality requirements and improve discipline at the source. Design and run data quality checks covering completeness, consistency, accuracy, and referential integrity – as part of ingestion pipelines and as regular operational health checks. Maintain a data quality monitoring framework in ServiceNow SPM, including dashboards and exception reports that give stakeholders clear visibility of platform health. Document findings, root causes, and fixes in a structured way; track recurring issues and drive lasting solutions rather than one‑off patches. Define SPM ServiceNow data quality standards and validation rules for all data imported. Maintain data dictionaries, field mappings, and transformation logic – ensuring they reflect how the business actually uses the data. Establish and maintain data dictionaries, field mappings, and transformation logic across all connected data sources. Conduct regular data audits and reconciliation checks between source systems and ServiceNow SPM. Design, build, and operate integration pipelines connecting third‑party systems (SAP, Excel, project management tools) to ServiceNow SPM. Translate portfolio management requirements into integration specs using ServiceNow‑native capabilities. Collaborate closely with the Project Manager, ServiceNow platform team, and BA/BU data owners to align integration design with business needs. Automate repetitive data tasks using scripted and low‑code approaches, including AI‑assisted coding techniques. Develop and maintain automation scripts (JavaScript/Glide in ServiceNow; Python for pre‑processing) to reduce manual effort and improve reliability. Your Profile

Education

University degree (Bachelor's or Master's) in Computer Science, Software Engineering, Information Systems, or a comparable technical field. Professional Experience

Hands‑on experience with ServiceNow, preferably SPM, PPM, or adjacent modules. 3–5 years in roles combining platform operations, data management, or system integration – ideally in an enterprise environment. Practical experience with data quality management, data migration, or integration projects. Technical Skills

ServiceNow platform experience, SPM/PPM modules preferred. Import Sets, IntegrationHub, Flow Designer, and Glide scripting are a plus. Proficiency in JavaScript/Glide or Python. Good understanding of data modelling, APIs (REST/SOAP), and data transformation. Comfortable with low‑code tools and AI‑assisted development approaches. Mindset

Intellectually curious and willing to engage with business content – not just data structures. Understanding that clean, meaningful data is the ultimate deliverable. Languages

Fluency in English (written and spoken) – mandatory. German language skills are an advantage given Körber's headquarters environment. Personal Competencies

Precision & Ownership – takes responsibility for data accuracy end‑to‑end; does not consider a task complete until the data is verified and reliable. Structured Problem‑Solving – analyses root causes of data issues systematically; uses evidence to drive decisions. Collaborative Mindset – works effectively with non‑technical stakeholders (BA data owners, process managers) as well as with IT architects and developers. Continuous Improvement – actively seeks opportunities to automate and streamline; reflects on failures and acts on lessons learned. Adaptability – comfortable working in a fast‑paced, evolving project environment with changing requirements. Benefits

Our benefits vary depending on the country of employment. Country‑specific benefits will be discussed individually during the interview process. Working Environment

A technically challenging and highly visible role at the core of a mission‑critical group‑wide transformation programme. Direct impact on the data foundation that powers Körber's global innovation portfolio management. Close collaboration with senior stakeholders and exposure to leading‑edge enterprise technology. A modern, collaborative work environment with flexible working arrangements and a culture that values continuous learning. We value diversity and therefore welcome all applicants – regardless of gender, nationality, ethnic or social origin, religion/belief, disability, age, sexual orientation and identity, and any other protected status. This position is covered by the Collective Labour Agreement (Contrato Coletivo de Trabalho da FETESE).

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