Digital & Technology Team (D&T)  is an integral division of HEINEKEN Global Shared Services Center. We are committed to making Heineken the most connected brewery. That includes digitalizing and integrating our processes, ensuring best-in-class technology, and embedding a data-driven culture. By joining us you will work in one of the most dynamic and innovative teams and have a direct impact on building the future of Heineken! Would you like to meet the Team, see our office and much more? Visit our website: Heineken (heineken-dt.pl). This role is part of the D&T department of HEINEKEN International and is located in Heineken Global Shared Service. D&T is proud to bring cutting-edge innovation, strong technology and advanced analytics to HEINEKEN. With speed and agility we ensure HEINEKEN has the technological competitive advantages it needs to deliver on its ambition. The Senior Data Quality Specialist  role is critical in Heineken to operationalise our strategy to measure and improve data quality across the enterprise. We are looking for an experienced data quality professional to actively contribute to the implementation of services for data quality monitoring, reporting framework, and data quality lifecycle management. The role holder will work with colleagues across Heineken to implement, and mature, our approach to how data quality is measured and visualised. This will include facilitating our Design Reference Groups for DQ, engaging with colleagues from our operating companies and tracking of continuous improvement actions and progress. This role also includes managing DQ related projects & team members (external & internal). Success will require that the role holder own these processes and become an ambassador for co-creation and collaboration. A core goal of our data quality service is to provide operating companies with the insight they need to remediate data quality issues. Additionally, functions running strategic programmes require the ability to more accurately understand and plan for the work required to get data ready for change. The role holder will provide services to support these outcomes. The role holder will also work with colleagues from our business and subject matter experts to identify new and evolving data quality requirements needed to deliver targeting metrics. Maturing our DQ services will require that the role holder work collaboratively also with technology specialists to understand new functionality of the tools that we use and track implementation of enhancements. Your responsibilities would include: supporting defining DQ strategy & roll out plan for the DQ Factory collection of DQ demand based on OpCos, business & functional owner requirements to address the most critical business issues translating the business needs into actionable plans on how to improve DQ prioritizing projects vs resources & propose DQ agenda & planning providing ongoing, regular feedback to team members & empower their professional growth liasing with business, functional owners & SMEs to be a point of contact for all DQ related topics proposing DQ KPIs underpinning HEINEKEN ambition to become the best connected Brewer providing regular DQ trend analysis & insights to DM LT operationalizing our data quality services by developing, continuously improving and extending processes and procedures (local, regional and global) for data quality monitoring by embedding use of new DQ tooling and PowerBI dashboards for detection and monitoring of data quality issues establishing and running operational delivery of KPIs for data quality that are accurate, efficient, fact based, and in line with defined timelines custodianing of OpCo engagement materials for data quality that will be used during rollout of change and during demo days. Ensuring materials are maintained so that they are up to date and accurate and are available when required custodianing of data quality communication plan and schedule. Ensuring this is maintain and available as required co-ordinating change pipeline and delivery of actions arising in accordance with agreed SLAs providing expertise to support design and roll out of data quality error prevention Thereafter, operationally run service providing expertise to support design and roll out of data quality rule change management Thereafter, operationally run service in collaboration colleagues supporting change management for related assets facilitate data quality forums with colleagues from OpCos to inform improvement and maturating of data services delivering analysis for data quality as required other tasks assigned by Line Manager. You are a good candidate if you have: Data engineering or Computer science degree or equivalent 5+ years’ experience in a data quality analyst role in a large enterprise with a diverse and complex set of business applications and data (or consultancy experience). proven record of Master data knowledge proven record of SAP experience proven record of leading big projects proven record of leading teams proven experience in data analysis role; specifically, for data quality assessment and lifecycle management in a business driven outcome environment knowledge of data quality processes and workflow, and proven experience of using tools for data profiling, discovery and assessment ability to see the big picture, prioritise and define / deliver realistic plans operational experience of designing and creating DQ dashboards for different stakeholder groups ideally experience of working within the framework of an Enterprise Data Model continuous and innovation improvement mindset.