Praca Data Governance Manager Warszawa, mazowieckie

Praca Data Governance Manager Warszawa, mazowieckie

JTI Polska profil

Jesteśmy wiodącą, międzynarodową firmą tytoniową, wywodzącą się z Grupy Japan Tobacco. Działamy w 130 krajach na świecie, zatrudniamy ponad 45 tys. osób i mamy w swoim portfolio jedne z najbardziej znanych marek, w tym Camel, LD, Winston oraz Logic dostępne na polskim rynku.

W Polsce zatrudniamy prawie 3 tys. pracowników i jesteśmy trzecim graczem w branży tytoniowej. Wkraczając na polski rynek w 2007 roku, postanowiliśmy, że na pierwszym miejscu zawsze będziemy stawiać naszych pracowników. Tworzymy kulturę opartą na współpracy, dzięki czemu w naszych zespołach panuje wyjątkowa atmosfera. Szerokie zakresy odpowiedzialności dają możliwość zdobycia nowej wiedzy i umiejętności, co przekłada się na świetną jakość działania oraz szybki rozwój naszej firmy. Stosujemy także najlepsze praktyki w zakresie rozwoju talentów, wdrażania nowo zatrudnionych osób czy możliwości szkoleniowych.

Nasze starania, by być najlepszym pracodawcą dla naszych pracowników, co roku zostają doceniane przez Top Employers Institute. Najlepszym dowodem na to jest przyznawany nam nieustannie od 2010 roku certyfikat Najlepszego Pracodawcy nie tylko w Polsce, a także w Europie (1. miejsce w rankingu w 2021 roku) oraz na świecie.

Firma: JTI Polska | Data Governance Manager

Miejsce: Warszawa, mazowieckie

Nr ref. 97147

Opis stanowiska

Data Governance Strategy and Framework:
 

  • Establish and govern an enterprise data governance implementation roadmap including strategic priorities for development of data-driven organization
  • Roll out an enterprise wide Data Governance framework, with a focus on improvement of data quality and providing data business services through modifications to organization behavior policies  and standards, principles, governance metrics, processes, related tools and data architecture
  • Lead Data Governance committees, comprising resources from the Business and Functional areas and IT business and operations functions, to achieve their objectives; resolve issues escalated from Business and Functional areas data governance representatives
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Governance Standards, Policies and Procedures:

 

  • Develop standards, policies and procedures to support the creation and implementation of data governance policies within the business.
  • Facilitate the development and implementation of Data Quality standards, Data Governance playbooks and data-centric culture adoption across the enterprise, focusing on business units and markets adoption
  • Define indicators of performance and quality metrics and ensure compliance with data related policies, standards, roles and responsibilities, and adoption requirements
  • Define roles and responsibilities related to Data Governance and ensure clear accountability for stewardship of the company’s principal data assets through federated operational model implementation

 

Market Knowledge:
 

  • Will stay informed of what data governance best practices are available and will research suppliers and markets,  to identify new business opportunities pertaining to the use of data assets to achieve efficiency and effectiveness in the business processes / represent data as a strategic business asset at the Senior Management table
  • Facilitate Data Governance solutions evaluation from technical and functional sides for Data Governance initiatives and other enterprise projects according to the industry standards and cutting-edge technologies

 

Communication and Collaboration:

 

  • Collaborate with leadership across the organization to identify business needs and implement Data Governance and Data Stewardship capabilities
  • Engage a network of business/IT stakeholders and manage relations between them and central Data & Analytics team where there will be influence but not authority
  • Serve as a liaison between Business and Functional areas and technology to ensure that data related business requirements are clearly defined, communicated and well understood and considered as part of operational prioritization and planning
  • Work on the delivery of Data Governance communication plans to help establish a cultural change in how data governance is perceived and managed at the company
  •  

Training and Support:

  • Working with Business teams and other Data & Analytics teams to ensure key business users are educated and trained in what data governance practices are currently implemented and available within JTI to meet business requirements and consequently maintain the data strategy aligned to it

 

Wymagania

  • University degree in Computer Science or similar
  • 3 - 5 years of experience of embedding Data Governance processes and standards into existing and future strategic projects
  • 5+ years in a major services organization, with change or transformation leadership experience and good understanding of various project management techniques
  • Experience with rolling out Data Governance frameworks and roadmaps, aligning and documenting data definitions, setting up a proper data governance organization, and Data Quality controls 
  • Varied and detailed knowledge of Data Management areas such as Data Quality, Data Migration, Metadata Management etc.
  • Outstanding interpersonal skills so you are seen as credible, knowledgeable and a positive representative of the Data Governance team
  • Demonstrated consulting skills, with change management concepts and strategies, including communication, culture change and performance measurement
  • Ability to constructively challenge requirements and current state to increase overall value to the firm
  • Flexibility to adjust to multiple demands, shifting priorities, ambiguity, and rapid change
  • Strong organizational, business understanding and analytical skills
  • Knowledge of DMBOK. CDPM certification is a plus
  • Experience analyzing and applying regulatory policy analysis to business operations preferred
  • Fluency in English
  • Knowledge of Azure Purview and Data Catalog is a plus
  • Knowledge of Microsoft Data Quality and Common Data Model is a plus
  • Knowledge of SAP information Steward (Metapedia, etc.) and SAP data services knowledge is a plus

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