This role involves working with customers to understand purchasing processes and building automated logic using SQL, Python, and low-code tools to optimize supply chain operations.
Locations (2)
Amsterdam, North Holland, Netherlands
Belgium
Responsibilities
Translate non-standard purchasing rules into automated workflows using SQL, Python and other tools
Dig into customer data to answer questions regarding cash flow, OTIF, container planning, service levels, and deadstock
Identify and resolve data discrepancies between Optiply and customer ERPs, WMS, or webshops
Track account health KPIs per customer such as service level, on-time/in-full, advice adoption and deadstock
Build and improve AI agents and automations behind the CS process
Requirements
Bachelor’s degree (HBO or WO) in Industrial Engineering & Management, Logistics, Supply Chain Management or a related quantitative field
Master’s in Operations Management & Logistics (plus)
Help HR responsibly use artificial intelligence capabilities within approved HR platforms, assess, configure, pilot, govern, and adopt AI and automation solutions.
Compensation
Estimated Salary: $68,000 - $90,000 plus annual bonus opportunity.
Responsibilities
Identify and evaluate AI and automation opportunities across HR
Design and lead controlled pilots translating business needs into requirements, test scenarios, success measures, and recommendations
Configure and test approved AI and automation capabilities, including low-code or no-code agents, assistants, and workflows
Coordinate responsible AI governance and human oversight with Legal, Privacy, Compliance, Security, Risk, Data Governance, and HR stakeholders
Drive adoption and measure results by creating practical guidance and training, supporting users and process owners, tracking business outcomes and risk indicators
Requirements
Bachelor’s degree in human resources, business, information systems, analytics, organizational development, or a related field
Nice to have: Workday
Nice to have: large enterprise human capital management platform
Analyze AI memory demand, including HBM, to improve forecasting, data quality, supply planning, and alignment across customers and products
Support supply allocation, customer prioritization, product mix, and lifecycle decisions through scenario analysis and clear business recommendations
Build dashboards, business metrics, market models, and TAM analyses to track performance, identify opportunities, and support business planning
Prepare MSR, QBR, and executive business reviews that connect market, customer, product, supply, and financial insights
Partner with Business Development, Sales, Operations, Finance, Product Management, and technical teams to improve workflows, automate recurring processes, and drive timely decisions
Requirements
Bachelor’s or Master’s degree in Business, Finance, Economics, Supply Chain, Data Analytics, Engineering, or a related field
Product Manager II for AI products supporting GSK’s manufacturing sites, responsible for opportunity discovery, value sizing, scoping, prototyping, delivery, and measurement.
Responsibilities
Drive opportunity discovery and value-case work on manufacturing engagements
Act as partner to forward deployed engineering pods on scoping, delivery, and measurement
Work hands‑on with site stakeholders to iterate on data, model outputs, and workflows
Build analytical artefacts such as briefs, value models, and prototypes
Support and optimize creative production workflows, configure and maintain creative technology platforms, build reusable templates and automated workflows, leverage AI tools, identify bottlenecks, support testing and rollout of new technologies, partner with cross-functional teams, maintain workflow standards and documentation.
Compensation
The US base salary range for this full-time position is 75,200.00 USD - 94,000.00 USD, plus bonus, equity, and benefits as applicable.
Responsibilities
Support and optimize creative production workflows, from request intake and asset development through approvals, quality assurance, delivery, and reporting.
Configure and maintain creative technology platforms, including Airtable, Figma, digital asset management systems, and workflow automation tools to improve operational efficiency.
Build reusable templates, automated workflows, AI prompts, and process documentation that streamline recurring tasks and improve consistency across teams.
Leverage AI tools such as ChatGPT, Claude Code, and Codex to accelerate workflow improvements, strengthen quality assurance, and simplify documentation while maintaining accuracy and data security.
Identify workflow bottlenecks, repetitive tasks, and quality risks, using data and stakeholder feedback to recommend and implement practical improvements.
Als Fachinformatiker/-in gestaltest und automatisierst du unsere Prozesse mit modernen Tools. Du sorgst dafür, dass Systeme ineinandergreifen, Datenflüsse reibungslos funktionieren und unsere Abläufe noch effizienter werden.
Compensation
Gehalt: Junior Fachinformatiker (m/w/d): 5.000 € brutto im Monat
Responsibilities
Automatisierung unserer Geschäftsprozesse mit No-Code / Low-Code Tools wie n8n, Zapier, Make
Aufbau, Pflege und Verwaltung von Airtable-Datenbanken
Entwicklung von Front-Ends und Interfaces mit No-Code / Low-Code-Tools
Management und Weiterentwicklung unseres CRM-Systems (insbesondere HubSpot)
Planung, Umsetzung und Implementierung von neuen Geschäftsprozessen
Requirements
Erfolgreich abgeschlossene Ausbildung als Fachinformatiker/-in (z. B. Fachrichtung Anwendungsentwicklung, Systemintegration, Digitale Vernetzung oder Daten- und Prozessanalyse)
The Data Management Platforms team is seeking a Manager, Product Management to manage day-to-day delivery of data compliance onboarding for Mastercard product and vendor teams.
Responsibilities
Manage daily intake and onboarding work for data compliance platforms, assessing scope and readiness, routing requests, maintaining status, and ensuring timely handoffs.
Serve as a product-facing point of contact for platforms such as My Data and CTVS.
Coordinate technical readiness with product owners and Technology and Operations teams including integration design, testing, and deployment sequencing.
Manage the exception lifecycle by confirming path, collecting documentation, coordinating Privacy and Legal approvals.
Monitor onboarding and operational queues, backlog, overdue items, and SLA exposure.
Manage daily intake and onboarding work for data compliance platforms, assessing scope and readiness, routing requests, maintaining status, and ensuring timely handoffs and follow-through.
Serve as a product-facing point of contact for platforms such as My Data and CTVS, explaining requirements, catalog prerequisites, integration pathways, dependencies, and stakeholder responsibilities.
Coordinate technical readiness with product owners and Technology and Operations teams, including integration design, testing, deployment sequencing, and issue resolution.
Manage the exception lifecycle by confirming the appropriate path, collecting documentation, coordinating Privacy and Legal approvals, recording decisions, and tracking expiry, reassessment, and follow-up.
Monitor onboarding and operational queues, backlog, overdue items, SLA exposure, and integration health; coordinate workarounds and escalate risks, blockers, and time-sensitive issues.
The Product Owner will lead the translation of clinical operations needs and opportunities into innovative digital products and capabilities, partnering with stakeholders to design product functionality and manage the product backlog.
Responsibilities
Partner with clinical operations stakeholders and end users to understand business needs, operational challenges, user workflows, and opportunities for technology-enabled improvement.
Help shape the product vision and define the future-state user experience, capabilities, workflows, and functionality.
Lead product discovery activities, including stakeholder interviews, workflow analysis, design sessions, and evaluation of potential solution approaches.
Translate business problems and ideas into product concepts, functional designs, process flows, mock-ups, prototypes, and artifacts.
Rapidly develop or coordinate prototypes and proofs of concept using low-code, no-code, and AI-assisted development tools.