Senior Supplier Operations Manager

Senior Supplier Operations Manager

Platform Ops is a fast growing team within Data Ops with a key focus on the managing the services and data that are part of the new research data platform that is organized following the principles of the data mesh.

The supplier operations management team is responsible for managing the services the data products that fuel products like Scival, Scopus, Reaxys and many other commercial offering.

The supplier operations management team is responsible for managing both internal and external partners that supply data into the data platform. Key role is performance management, agreeing goals, monitoring performance, resolving incident and leading continuous improvement initiatives. The team maintains a knowledge base on our services, documenting SLAs, Workflow description, instructions.

As Data Ops is set-up as a separate team to support our platform transition, an exciting role will be opened that sits at the heart of our new data use cases.

One initial key Operational efficiency goal will be to develop a full end to end view, underpinned by reporting and supported by clear visualizations of all our data asset processes, to a granularity that helps to support automation and transparency in our processes, as multiple teams and capabilities are dependent on this data to maintain a high speed of content onboarding. This work takes place as part of the ongoing (digital) transformation of our back-office and will support automation in our content sourcing and customer support. The data developed will support e-mail automation, proactive alerting and outlier management, escalation workflows, and providing tracking data to support our customers in meeting their needs. Work takes place in an agile framework and the data development manager will act both as analyst but will also be asked to act as product owner for a data squad that collaborates to improve our assets and processes. The expectation is that this role actively contributes to the way Data Ops will structure the continuous improvement and data development function.

Next to operational efficiency, the data development role will be supporting RDP in (cross-) domain initiatives as operations lead to foster collaboration, guide delivery and ensure Operational expertise is applied where needed and prioritized. Work will be done in multi-disciplinary squads to ensure that data is onboarded and processed according to agreed metrics. A rounded understanding of the strategic goals of RDP and the individual domains will ensure value added contributions and continuous, iterative improvement toward those goals.

Responsibilities

Supplier Performance Management

• Independently manage and monitor operational performance of assigned suppliers across data workflows (e.g., data ingestion, enrichment, validation, transformation, reporting and quality control).
• Track SLA adherence, turnaround times, quality scores, defect rates, and productivity metrics.
• Lead monthly performance review meetings with suppliers and present insights to internal stakeholders.
• Identify performance gaps and drive corrective and preventive action plans.
• Proactively escalate risks impacting service continuity, data accuracy, or timelines.
• Act as the primary operational point of contact for assigned suppliers.

Data Analytics Reporting

• Design and maintain Power BI dashboards to track supplier KPIs and operational health.
• Analyze large operational datasets to identify trends, inefficiencies, and optimization opportunities.
• Conduct structured root cause analysis for recurring data quality or delivery issues.
• Prepare and publish structured monthly supplier performance reports with clear executive summaries and actionable insights.
• Support demand forecasting and supplier capacity planning through data-driven analysis.

Governance, Risk Compliance

• Ensure supplier adherence to contractual obligations, data governance standards, and security policies.
• Monitor compliance with data privacy and information security requirements.
• Maintain structured governance cadence, documentation, and audit readiness.
• Support performance documentation required for commercial reviews and renewals.

Project Product Alignment

• Support supplier onboarding, transitions, and scope changes.
• Manage defined operational improvement initiatives (automation, standardization, workflow optimization).
• Collaborate closely with internal domain functional teams to understand evolving requirements and ensure supplier outputs align with business and customer expectations.
• Translate business and product requirements into measurable supplier performance metrics.
• Track milestones, risks, dependencies, and stakeholder communications using structured project management approaches.

Continuous Improvement Automation

• Identify opportunities to automate manual processes within supplier workflows.
• Partner with internal teams to implement system or workflow enhancements.
• Drive productivity improvement and cost-efficiency initiatives.
• Promote a data-driven and customer-focused culture of operational excellence.

Requirements

• Bachelor s degree in Computer Science, Information Technology, Data Analytics, Engineering, Business, Supply Chain, or related field.
• 5-6 years of experience in operations, data operations, or shared services environment.
• Experience managing external vendors or global suppliers in a matrixed organization preferred.
• Strong exposure to data lifecycle management, data processing environments, or analytics-driven operations.
• MBA or Postgraduate qualification in Operations, Analytics, or Business Management (preferred but not mandatory).
• Experience collaborating with Product and Technology teams is a plus.

Technical Analytical Skills

Data Reporting

• Advanced Excel (Power Query, complex formulas, Pivot Tables)
• Power BI (dashboard development, DAX, data modeling, automated reporting)
• Tableau reporting and dashboard development (good to have)
• Strong data analysis and interpretation capability
• Experience working with large datasets and operational metrics
• Root cause analysis methodologies (5 Whys, Fishbone, etc.)

Project Management

• Experience leading cross-functional operational initiatives
• Understanding of Agile and/or Waterfall methodologies
• Risk, issue, and dependency management
• Experience with MS Project, Jira, Smartsheet, or equivalent tools
• Process mapping tools (Visio, Lucidchart)

Systems Platforms

• Workflow management platforms
• SharePoint or similar collaboration tools

Core Competencies

• Excellent written and verbal communication skills

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.