Our customer is an independent global brewer, committed to surprise and excite consumers with its brands and products everywhere. The brand is available in almost every country around the globe and is the world’s most valuable international premium beer brand. The company is present in over 70 countries, operates more than 160 breweries and markets, and more than 300 brands.
An integral part of company’s day-to-day operations, their Digital & Technology Hub is one of the most dynamic and innovative departments. There are around 1400 people at D&T around the world — a diverse community built from countless cultures and experiences, all with a passion to make company’s business, and the experience for their customers better.
The Senior Data Quality Specialist is crucial for operationalizing the strategy to measure and improve data quality across the enterprise.
We seek an experienced data quality professional to help implement services for data quality monitoring, reporting, and lifecycle management.
The role involves collaborating with colleagues across the company to enhance how data quality is measured and visualized. This includes facilitating Design Reference Groups for Data Quality (DQ) and tracking continuous improvement actions. Additionally, the role entails managing DQ-related projects and team members (both internal and external). Success requires ownership of these processes and promoting co-creation and collaboration.
A key goal of the company’s data quality service is to provide operating companies with insights to address data quality issues. Strategic program functions also need accurate data understanding and planning for upcoming changes. The role holder will support these outcomes.
Additionally, the role will involve working with business and subject matter experts to identify new and evolving data quality requirements to deliver targeted metrics.
To mature DQ services, the role holder must also collaborate with technology specialists to understand new tool functionalities and track enhancement implementations.
Senior Data Quality Specialist
Location: Krakow or hybrid
Experience/Knowledge
- Data engineering or Computer Science degree or equivalent.
- 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).
- Master Data knowledge.
- SAP experience.
- Experience in leading large projects.
- Experience in leading teams.
- 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 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.
Tasks
- 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.
- Providing regular DQ trend analysis & insights to DM LT.
- Operationalizing company’s 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 maintained 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.
- Providing expertise to support design and roll out of data quality rule change management.
- Facilitating 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.
