Leadership Experience
Governed fintech data foundation and SOC 2 readiness
Built a governance-first data and analytics foundation for a BFSI platform and achieved SOC 2.
Representative engagement led by Thessia leadership in a prior consulting role before Thessia was formed.
Industry: Fintech and BFSI
Delivered for: Payflo
Focus: Data architecture and SOC 2 readiness
Impact: Achieved SOC 2 and strengthened operational reporting
Project scope
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1
Data architecture and reporting
Scope included ownership of the data architecture supporting risk, operations, and executive reporting across core fintech domains.
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2
Security by design
Scope included implementation of platform-wide controls including least-privilege access, encryption, logging, and disciplined change-management practices.
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3
SOC 2 program ownership
Scope included ownership of the SOC 2 program for the data platform, including control design, evidence collection patterns, and audit support processes across engineering and business stakeholders.
Project context
As a growing fintech platform in the BFSI sector, Payflo needed a governance-first data foundation capable of securing sensitive financial data while enabling fast, reliable insights and supporting SOC 2 readiness.
Problem
The platform needed a data foundation that could support risk and operational reporting while meeting growing security, audit, and compliance expectations.
Solution
The engagement established a governed data architecture with strong access controls, encryption, logging, evidence-management processes, and reporting structures aligned to SOC 2 trust service criteria.
Outcome
Achieved SOC 2 and established a stronger governed data foundation for reporting, security, and compliance.
Selected outcomes
- Achieved SOC 2 through control design, evidence management, and audit support
- Improved availability of risk and operations insights through more consistent reporting
- Strengthened security and governance practices across the data platform
- Improved storage efficiency through retention, tiering, and data lifecycle management policies
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