Stefano Arcuri

Lideré la gobernanza de datos y los estándares globales del dominio de Pricing en más de 100 países. Definí y escalé reglas de negocio, KPIs de calidad de datos y procesos operativos en entornos SAP, CRM y plataformas de pricing. Aseguré la alineación entre Pricing, Finanzas y Ventas mediante modelos de datos estandarizados y flujos de gobernanza comunes. Apoyé transformaciones a gran escala (S/4HANA, ERP y plataformas de pricing) garantizando fundamentos de datos consistentes y adoptados.

Responsibilities: - Shape and define departmental strategy. - Oversee personnel and manage proposals, projects, and events. - Drive commercial initiatives and form alliances. Projects Highlights: Big engineering company Challenge: Limited interoperability and slow dissemination of information across various systems, including SAP and subsystems, resulting in inaccurate departmental headcount determinations and differing interpretations of information among departments. Solution: Defined and implemented a data space using a data mesh perspective. Established and led a data governance team to ensure seamless information flow and accurate data interpretation across departments.

Development and definition of the area strategy, people management, proposals management, projects management, events, commercial actions, alliances.

Actividades de divulgación, coordinación y desarrollo de frameworks de gobernanza e infonomía.

Define performance indicators and quality metrics and ensure compliance with policies related to data, standards, roles and responsibilities, and adoption requirements. Conceptualize, establish, communicate, and implement a data governance & data quality roadmap that includes strategic priorities for the development of information-based capabilities.

• Conceptualize, establish, communicate and implement a data governance & quality roadmap that includes strategic priorities for the development of information-based capabilities. • Establish and implement governed self-service BI and a deployment processes, guaranteeing conformance and performance. • Develop, establish, communicate, and implement tactical master data management solution to enable AI / Machine learning / BI projects. • Implement a data governance framework for the entire company, with a focus on improving the quality of data and the protection of confidential data by modifying the policies and standards of behavior of the organization, principles, government metrics, processes, related tools and data architecture • Define the roles and responsibilities related to data governance and guarantee a clear responsibility for the management of data quality • Facilitate the development and implementation of data quality standards, data protection standards and adoption requirements throughout the company • Define performance indicators and quality metrics and ensure compliance with policies related to data, standards, roles and responsibilities, and adoption requirements • Provide follow-up reports to the steering committee and manage periodic updates to the road map of data governance and data quality of the department • Drive business opportunities related to the use of information assets to achieve efficiency and effectiveness in the market / represent the data as a strategic business asset in the table of Senior Management.

2018-2019 : (Boehringer Ingelheim) As product owner I lead the vision and define the business roadmap for a data governance product

Responsabilidades: - Lideré un equipo de nueve personas en la gestión de proyectos de innovación utilizando IA y técnicas de análisis avanzado en arquitecturas de Big Data. - Supervisé la conceptualización y el despliegue de un lago de datos de IoT, recopilando datos de contadores inteligentes y otras fuentes en Italia y España. Esta plataforma apoyó el entorno de ciencia de datos y almacén de datos. - Gestioné un entorno complejo de partes interesadas, incluidos múltiples socios, subsidiarias y partes interesadas tanto internas como externas. Logro clave: - Enel - Endesa Zettabeat: Facilitó exitosamente un acuerdo entre varios stakeholders sobre la implementación arquitectónica, incluyendo la selección de software y tecnología.

Setting up BI environment for MAERSK: architecture and security, security roles, permissions , ACL Best practices on Teradata platform, optimization strategy Governed Self Service BI

Running projects in: ► business intelligence ► predictive analytics and big data. ► auditing BI ► gap analysis Working projects of dwh with big data in Hadoop Hive, Impala, MySQL.

Delivered successful consulting services to companies in challenging environments.

Worked in contact with the financial department, mixing measures actual vs. Budget / Revised (3 version of revised), standard costs, targets...developed in manufacturing context (White Goods). Complete lifecycle (analysis, development, maintenance, tuning) using Oracle Discoverer (Linux/Oracle 10g). I realized other applications for Quality, HR, Production, Logistics, and Sales. The system allow to analyze the order,delivery and invoice detail margin, evaluating them at different costs level. Data Governance, IT Governance Supervisor of a team of 2 people.