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Job Purpose

Part of the New Product Introduction organization in the CCEP SSC, the role of the NPI Data Quality Lab Lead is critical in enabling the CCEP organization to deliver CCEPs strategic business objectives and D&A roadmap by ensuring data quality at master level (timeliness, accuracy, availability).

On this role s/he will lead and manage DQ systems control process, DQ dashboarding, coordination and structural alignment across various teams and systems in NPI environment. S/he will focus on the facilitation and development of data quality assessment and issue remediation activities.

Working in close collaboration with NPI teams, s/he will identify ways to improve data reliability, efficiency and quality and will design program for data quality improvement s/he will also oversee the generation of processes, various metrics and reports associated with data insights and data quality assurance repot on data quality level.

S/he will lead and drive specialized team of skilled DQ Data Stewards. S/he oversees the activities of the delivery team, coordinating their contributions, managing dependencies, and removing any impediments that could jeopardize NPI DQ process framework.

Key Responsibilities

• Act as the main SME for the NPI Data Quality domain

• Combining specialized business knowledge with advanced technical skills, will understand business rules and transform them into scalable and reliable data quality rules within NPI DQ systems.

• Actively monitor data quality management framework including definition and refinement of processes, standards responsibilities, metrics, reports and controls

• Conduct health checks to ensure quality criteria have been met

• Ensure flexible approach that adapts to the ever changing requirements around NPI from business rules and their transformation into quality rules

• Resolve and communicate any issues with relevant stakeholders (internal and external) in a timely and customer oriented manner

• Deliver data quality reports in different frequency

• Provide guidance to DQ Lab team members regarding data quality issue resolution as required

• Liaising with stakeholders and external partners to address core data quality approaches and issues.

• Support NPI optimization initiatives to processes and execute action plan in order to improve processes efficiency , data quality and further system and process integration

• Support as needed any further platform project needs (Stibo/UDP/UnS implementation, CFIN, CDSP or other)

Experience required

• Minimum of 5 years of Finance/IT multinational organization/leading people/processes.

• Good Analytical and Planning skills combined with independent, goal- and process oriented way of working

• Managing data & analytics technology solutions in coordination with business stakeholders.

• Leading cross-functional, geographically dispersed teams. Hand-on experience in multi master data related projects. Sound understanding of the digital product development lifecycle.

• Experience in working and providing critical business support to cross-functional business teams.

Language capability & expert level

English: essential PLUS one other CCEP language

Education & Qualifications required

• University Degree or equivalent (Business Administration, Economics or Finance )

• Advanced business process knowledge: SAP MM, PP, Fi/Co, SD

• MDM & Analytics skills

• Programming language experience (VBA, SQL, ABAP or other relevant)

Capability required & Expert level( Capability Framework)

• Analytical Thinking – Intermediate

• Relationship Management – Advanced

• Finance Operations and Accounting - Foundational

• Design Thinking – Intermediate

• Project Management – Intermediate

• IT System Landscape - Advanced