Head of Investment Data Processing (f/m/x)
About The Position
As Head of Investment Data Processing, you will be the operational leader responsible for reinventing and running the CEPRES Datanetwork, including CEPRESâs core investment data onboarding and processing operations. Your mission: transform legacy, manual data extraction processes into efficient, AI\-driven workflowsâwhile ensuring business continuity, team engagement, and client satisfaction. You will work closely with our large, experienced Product team, which is responsible for building the AI\-based workflows that will power the next generation of CEPRESâs data platform. Your role is hands\-on and operational: you will analyze, design, and implement new processes, directly manage a team of up to 100 data extraction specialists, and lead the transition to automation. Focus of our search will be to comply with the operational, hands\-on nature of the role, the responsibility for managing a large team, and the importance of close collaboration with the Product team building the AI workflows. The focus is on process reinvention and leadership through change.
Requirements
- Degree in Business Administration, Computer Science, Data Science, Engineering, or a related field.
- 10+ years of hands\-on operational leadership in data processing, process innovation, or analytics, with direct responsibility for large teams.
- Proven experience in process analysis, re\-engineering, and automationâideally in financial services or data\-intensive environments.
- Optimally, experience in illiquid asset class data handling and data structures
- Optimally: consulting background
- Strong technical understanding of AI/ML solutions for document processing and workflow automation.
- Demonstrated ability to lead large teams through complex change.
- Excellent communication, organizational, and stakeholder management skills.
Nice To Haves
- Experience managing transitions from manual to automated data operations.
- Familiarity with Intelligent Document Processing platforms and cloud\-based AI/ML services.
- Nice to have: Certifications in process improvement (e.g., Lean Six Sigma) or cloud platforms (AWS, Azure, GCP).
- Prior experience in a FinTech, B2B SaaS, or institutional investment context.
Responsibilities
- Take full ownership of day\-to\-day data onboarding and processing operations.
- Analyze, redesign, and implement end\-to\-end workflows for collecting, verifying, and delivering investment data.
- Think outside the box: Invent and operationalize new processes that leverage AI and automation, ensuring they are robust, scalable, and aligned with business needs.
- Establish scalable processes and use 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
- Lead and manage CEPRESâs data management teams, including a large team of data analysts responsible for extracting, transforming, validating, and maintaining complex financial data.
- Manage the transition from manual to automated processes, ensuring team members are engaged, supported, and upskilled where possible.
- Partner closely with the Product team to align operational needs with the development of AI\-based workflows.
- Provide hands\-on feedback and requirements to ensure new solutions are practical, effective, and rapidly adopted.
- Serve as the operational point of contact for large clients during process transformation.
- Ensure data onboarding and delivery processes meet client expectations and regulatory requirements.
Benefits
- Career Path in Private Equity
- Culture That Drives Success
- Commitment to Our People
- Compensation of attractive package that reflects your skills, contributions, and growth potential.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
