VP, Data Operations & Governance (f/m/x)

CEPRES is the leading and fastest growing digital investment platform for private capital markets, an institutional asset class which became very relevant in global investment portfolios of sovereign wealth fund, insurances, pension plans and others. This global institutional client base benefit from our award-winning investment solutions for their investment activities while we connect via the CEPRES platform thousands of professionals to the largest private investment network worldwide.

CEPRES GmbH / Corp is headquartered in Munich and New York, with additional offices in Denver, Heidelberg, and several locations in middle east. Our team is incredibly diverse with over 20 nationalities globally. We value smart and innovative people who also work effectively in a team environment and who are global players.

Role Overview 

The VP, Data Operations & Governance is a senior leadership role responsible for overseeing the end-to-end lifecycle of investment data across the CEPRES Platform. This role leads global data operations and analyst teams, driving the collection, processing, validation, and delivery of high-quality investment data while continuously improving efficiency, scalability, and accuracy.

The VP will focus on optimizing data operations to meet evolving client and business requirements, ensuring processes, workflows, and data delivery capabilities support a high-quality client experience. This includes establishing KPIs and SLAs to maintain consistent quality, productivity, turnaround times, and service performance across global operations.

The role is also responsible for building and developing a high-performing global organization, fostering accountability, operational excellence, and continuous improvement. By leveraging process improvements, automation, and scalable operating models, the VP will drive operational effectiveness while ensuring CEPRES can support increasing client demands and business growth.

Working closely with Product, Engineering, Commercial teams, and senior leadership, the VP will act as a key bridge between client needs and data operations, translating client requirements into scalable operational solutions and data delivery enhancements while ensuring the highest standards of quality, accuracy, and service.

Experience with private markets or financial data is strongly preferred.

Key Responsibilities 

Data Operations & Quality 

• Lead and develop a high-performing global data management organization, including data analysts and operations specialists, ensuring the capabilities, processes, and accountability needed to deliver high-quality financial data and operational excellence.
  
• Drive operational performance by managing KPIs and SLAs that support client requirements, data quality standards, delivery timelines, and overall service excellence.
  
• Lead the alignment and standardization of operational reporting, KPI definitions, and performance measures across the data organization, ensuring consistent performance tracking and continuous process improvement.
  
• Establish scalable processes and tools that ensure accuracy, consistency, completeness, and timeliness across all datasets. 
  
• Optimize data management processes from end-to-end within the data value flow to increase efficiency and reduce cost. 
  
• Create a culture of continuous improvement, using KPIs, and automation to optimize workflows and elevate data quality. 
  
• Drive adoption of documentation, standardization, and best practices across the data analyst function. 
  
• Ensure full compliance with data governance, privacy, and security frameworks
  
• Build and run KPI driven data flow and quality measurement systems that optimizes productivity serving as a basis for senior management reporting.
  
• Develop capacity and workforce plans aligned with business demand, ensuring the right organizational structure, skills, and resources are in place to support growth.
  
• Ensure successful execution of contractual commitments by overseeing service delivery performance, monitoring compliance with agreed SLAs and obligations, and proactively addressing risks to client satisfaction and business outcomes.
  

Technology and AI

• Drive adoption of emerging technologies, including LLMs and GenAI tools, to improve data quality, automation, and decision-making capabilities.
  
• Partner with tech, product, and business leadership to prioritize data initiatives and ensure timely, high-quality delivery.
  
• Establish and enforce data governance, quality, and security standards across all systems and teams.
  

 Governance, Quality & Compliance 

• Drive initiatives to measure and improve data quality, consistency, and completeness. 
  
• Implement and enforce data governance policies, data access controls, and lineage tracking while ensuring CEPRES’ strict data compliance and security regulations. 
  

Stakeholder Enablement & Collaboration 

• Serve as a strategic partner to product, engineering, commercial, and executive teams. 
  
• Provide internal and external stakeholders with the tools, documentation, and training needed to work effectively with data.