Operations Specialist- Data Quality Management

Job Description
Employer: DWS GroupTitle: Operations Specialist
- Data Quality Management -AVPLocation: MadridJob Code: placeholder for LinkedIn job wrappingAbout DWS:Today, markets face a whole new set of pressures – but also a whole lot of opportunity too. Opportunity to innovate differently. Opportunity to invest responsibly. And opportunity to make change.
Join us at DWS, and you can be part of an industry-leading firm with a global presence. You can lead ambitious opportunities and shape the future of investing. You can support our clients, local communities, and the environment.
We’re looking for creative thinkers and innovators to join us as the world continues to transform. As whole markets change, one thing remains clear; our people always work together to capture the opportunities of tomorrow.
As investors on behalf of our clients, it is our role to find investment solutions. Ensuring the best possible foundation for our clients’ financial future. And in return, we’ll give you the support and platform to develop new skills, make an impact and work alongside some of the industry’s greatest thought leaders. This is your chance to achieve your goals and lead an extraordinary career.
This is your chance to invest in your future.
Read more about DWS and who we are here.
Team / division overviewThe COO Division is a key enabler for DWS and is integral to the future success of the company by delivering world-class services across a set of key functions. It covers essential Technology and Operations capabilities to deliver a platform which is efficient, scalable, resilient and agile.
The Data Quality Management (DQM) function sits at the core of DWS’s data management framework, ensuring the accuracy, completeness, integrity and timeliness of reference and issuer data used across the organisation. The role forms part of the Smart Middle Office, which brings together deep operational expertise, technology enablement and practical AI capability to make processes more scalable, controlled and insight-driven. The team partners closely with global stakeholders including Operations, Portfolio Management, Trading, Compliance, IGM and Technology to support both day‑to‑day business operations (Run the Bank) and strategic initiatives (Change the Bank).
As part of this agenda, the successful candidate will be expected to actively contribute to automation, AI-enabled process improvement, data-driven controls and smart workflow design, while ensuring that operational risk, auditability and sound governance remain embedded in everything the team delivers.
Your responsibilities –As our Operations Specialist
- Data Quality Management -AVP you will:Own and continuously strengthen the DQM (Data Quality Management) control environment to safeguard data accuracy and align with evolving market standards. Ensure authoritative sourcing and timely maintenance of Security Master reference and time series data, pricing, and standard settlement instructions to minimize exceptions. Use trend monitoring and root-cause analysis to prevent recurring issues and drive targeted control and technology enhancements.
Serve as the go-to escalation point for complex data quality and operational challenges
- leading rigorous deep-dive investigations, pinpointing root causes, and driving swift, sustainable remediation in partnership with internal teams, Technology, and external vendors.
Partner closely with global stakeholders (Front Office, IT, Audit, Compliance, etc.) to deliver high-quality data solutions, meet regulatory expectations, and stay tightly aligned to business priorities.
Lead the management and enhancement of data quality control frameworks
- owning risk identification, control execution, KRI/KPI monitoring, and periodic recertifications of KOP/KODs
- to strengthen governance, improve transparency, and ensure ongoing audit readiness.
Champion operational excellence and continuous improvement across RTB (Run the Bank) and CTB (Change the Bank) activity by identifying inefficiencies and redundancies, unlocking automation opportunities, and contributing to platform enhancements with Technology
- while further maturing the wider data management framework.
Oversee the end-to-end security setup lifecycle and its downstream data impacts
- ensuring potential issues are proactively surfaced, assessed, and mitigated across systems and processes before they affect clients or the business.
Contribute to the Smart Middle Office agenda by identifying opportunities to apply AI, machine learning, workflow automation and data analytics to reduce manual intervention, improve exception management, strengthen predictive controls and enhance operational transparency.
Translate operational pain points into clear automation or AI use cases, working with Technology, transformation partners and operational SMEs to shape practical solutions that are controlled, scalable and aligned to business priorities.
Operate across multiple asset classes (Equities, Fixed Income, Derivat