Data Governance and Data Quality Associate

Description

Job Summary: Lead, design, and implement regional data governance models, ensuring data is reliable, traceable, and managed according to corporate and regulatory standards. Key Highlights: 1. Lead the evolution of the regional Data Governance Model. 2. Define and lead the comprehensive Data Quality strategy. 3. Subject matter expert in data governance and data quality. **Credicorp Capital** invites you to turn challenges into opportunities and become our next **Data Governance and Data Quality Associate**, for the **Data Analytics Center of Excellence (CoE)**, in **Lima, Peru**. **Mission**: Lead, design, implement, and evolve regional and cross-functional data governance models, ensuring the organization has reliable, traceable, governed, and managed data aligned with corporate, regulatory, and business standards. **Key Responsibilities**: * Design, evolve, and institutionalize the Data Governance Model. + Define and evolve the regional data governance framework, including policies, standards, processes, roles, decision-making structures, domains, subdomains, and data products. + Identify improvement opportunities and new data management capabilities aligned with organizational strategic objectives. + Periodically assess data governance maturity and propose initiatives to strengthen it. * Define and lead the comprehensive Data Quality strategy. + Design the corporate Data Quality strategy—both operational and analytical—establishing principles, metrics, monitoring mechanisms, and business-value measurement models. + Define methodologies for identifying critical data, data quality rules, root cause analysis, and remediation plans. + Ensure integration of observability, monitoring, and continuous improvement capabilities for critical data. * Lead metadata management and governance of data assets across corporate platforms. + Define the metadata, lineage, business glossaries, documentation, and information traceability strategy. + Lead adoption of data governance capabilities on platforms such as Microsoft Purview, Databricks, and Unity Catalog. + Ensure proper classification, documentation, traceability, and administration of data assets both inside and outside the lakehouse ecosystem. * Apply design thinking and critical thinking to solve complex data challenges. + Facilitate discovery, analysis, and solution design exercises with business, technology, and control areas. + Identify structural causes affecting data management, quality, and utilization. + Design sustainable, user-centric solutions aligned with organizational capabilities. * Influence decision-making and promote a data-driven culture. + Serve as a subject matter expert in data governance and data quality for business leaders, technology leaders, and executive committees. + Articulate, debate, and substantiate recommendations using evidence, analysis, and business impact. + Facilitate organizational alignment processes to drive adoption of data governance, quality, and management practices. **Job Requirements**: * Professionals with degrees in Computer Engineering, Systems Engineering, Industrial Engineering, Financial Engineering, Economics, Business Administration, or related fields. * Postgraduate studies related to data governance and strategy, data management, Business Intelligence, or related disciplines. * Minimum 6 years of professional experience in data, information management, data governance, data quality, analytics, architecture, or related disciplines. * Minimum 4 years of experience leading implementation, evolution, or transformation of data governance models with corporate, regional, or cross-functional scope. * Proven experience defining and implementing Data Quality strategies, including definition of metrics, business rules, monitoring, root cause analysis, and improvement plans. * Experience leading metadata, business glossary, traceability, lineage, and information asset cataloging initiatives. * Experience implementing data governance capabilities on modern data platforms such as Databricks, Unity Catalog, Microsoft Purview, or equivalent solutions. * Experience working with data domain models, data products, ownership, stewardship, and federated governance structures. * Experience presenting initiatives, diagnostics, strategies, and recommendations to functional leaders, executive committees, or business sponsors. * Desired experience in multinational organizations or highly regulated industries. **Additional Knowledge**: * Data Governance and Management + Design and implementation of data governance models. + Federated and hybrid operating models. + Ownership and accountability management. + Data policies, standards, and guidelines. + Data governance maturity. + DAMA-DMBOK and related reference frameworks. * Data Quality + Design of enterprise-level Data Quality strategies (both operational and analytical). + Data profiling and analysis. + Data observability. + Metric and scorecard management. + Root cause analysis. + Definition and tracking of remediation plans. * Metadata and Cataloging + Management of business and technical metadata. + Data glossaries and dictionaries. + Data traceability and lineage. + Information classification and criticality. + Data Catalogs and Data Discovery. * Data Platforms + Microsoft Purview. + Databricks. + Unity Catalog. + Lakehouse Architecture. + Data Governance applied to modern analytics ecosystems. + Intermediate SQL. + Basic conceptual, logical, and physical data modeling. ***This job posting is also open to persons with disabilities.***