Data Governance Lead, Analytics

Qualco Technology

Lead data governance and analytics at Qualco Group, a fintech organization. Focusing on data strategy, quality, and compliance in financial services.

Posted 7/1/2026full-timeAthens • 🇬🇷 GreeceSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data governance, data architecture, and advanced analytics within the financial services sector, ensuring compliance and effective data management. Capable of driving data democratization and integrating data into business processes to enhance decision-making and operational efficiency.

Highest-signal resume keywords

Data GovernanceData ArchitectureSQLMachine LearningCredit Risk

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData StrategyData QualityData LineageAnalytical ProgrammingStructured DataUnstructured DataAdvanced AnalyticsSelf-Service AnalyticsPerformance Management

Soft Skills

Strong CommunicationCollaborationAdaptability

Industry Keywords

FintechBankingFinancial ServicesRegulatory ComplianceRisk OversightFraud ControlsCustomer Understanding

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Define and maintain the enterprise data strategy, including data architecture priorities, governance standards, ownership principles, and business enablement objectives;
Establish robust data governance disciplines covering quality, lineage, controls, access, documentation, and lifecycle management;
Drive data democratization across functions by developing trusted data products, management reporting, dashboards, and self-service analytics capabilities;
Ensure that data practices support regulatory compliance, auditability, risk oversight, and decision transparency in a financial services environment;
Partner with product, risk, engineering, operations, compliance, and commercial teams to embed data into front-end journeys, back-end processes, underwriting logic, portfolio monitoring, and performance management;
Help identify, assess, and integrate new data sources and signals that can improve credit decisioning, fraud controls, customer understanding, and operational efficiency;
Enable the responsible application of advanced analytics, machine learning, and agentic automation across relevant business workflows;
Build and deliver high-value analytical outputs directly when needed, recognizing that in a small and agile organization, senior leaders are expected to remain hands-on in execution;
Ensure that all activities and duties are carried out in full compliance with regulatory requirements and supporting the continued implementation of the Group Anti-Bribery and Corruption Policy.

Requirements

What you’ll need

Proven experience in a senior data role within fintech, banking, or a data-intensive environment;
Strong understanding of credit risk, lending products, or financial services data ecosystems;
Deep expertise in data governance, data modeling, and data architecture;
Experience working with both structured and unstructured data sources;
Hands-on capability in SQL and at least one analytical or programming language (e.g., Python);
Familiarity with machine learning workflows and practical applications in decision systems;
Comfortable in a startup environment where ambiguity is high and execution is key;
Strong communication skills with the ability to bridge technical and business perspectives.

Benefits

Comp & perks

Competitive compensation, Meal vouchers, and annual bonus programs.
Cutting-edge IT equipment, mobile phone, and data plan.
Modern facilities, free coffee, beverages, indoor parking, and in-house restaurant.
Private health insurance, occupational doctor, workplace counselor and nutritionist.
Onsite gym, wellness facilities, and ping pong room.
Career and talent development tools.
Mentoring, coaching, personalized annual learning, and development plan.
Employee referral bonus, regular wellbeing, ESG, and volunteering activities.