Senior Data Governance Consultant

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SeniorHybryda·WarszawaFull-time

#470180·Dodano 6 dni temu·2

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Data managementInformaticaERP SAP SQLBusiness analysisRequirements gatheringGDPR

Podsumowanie oferty

Help clients establish trusted, high-quality data foundations by operationalizing data governance frameworks across their organizations. Work with business and technology stakeholders to manage data as a strategic asset supporting business growth, analytics and AI-driven transformation, using governance tools, ERP or master data systems and SQL.

Wymagania

Consultant: 3+ years of experience in data governance, data management, master data, data quality or analytics, ideally in a consulting or large enterprise environment.
Senior Consultant: 5+ years of experience, hands-on work in at least three of the listed data governance areas, and a track record of leading workstreams.
Understanding of data governance principles and methodologies, such as DAMA-DMBOK; CDMP or equivalent certification is a plus.
Hands-on experience with at least one governance, catalog or data quality tool, such as Collibra, Informatica, Alation or Microsoft Purview, and with ERP or master data systems, such as SAP; working knowledge of SQL.
Business analysis and facilitation skills, including process mapping, requirements gathering and stakeholder workshops; at senior level, ability to align senior stakeholders on shared definitions and decisions.
Awareness of data protection and regulatory requirements, such as GDPR.
Willingness to work across topics and grow into new ones; strong communication and organization skills; fluent English.
Experience in one or more preferred industries: FS, Automotive, Energy & Utilities, Tech, FMCG or Pharma.

Obowiązki

Implement data governance operating models in business domains, including roles, RACI, decision rights and stewardship forums; at senior level, design the models and run the forums and review boards.
Define and maintain data standards and business rules, including definitions, allowed values and validation rules for master and reference data; at senior level, own the business glossary and, where needed, taxonomies, ontologies and knowledge graph standards.
Keep the data catalog complete and current by onboarding assets and domains, linking technical metadata to business terms, and maintaining lineage and classification.
Design data quality rules with business owners, implement checks with data engineers, build dashboards, and run issue and remediation processes; at senior level, establish the data quality management cycle.
Apply data classification, privacy, data sovereignty and residency requirements, including jurisdiction and access rules, retention, data product onboarding and regulatory evidence.
Support data governance maturity assessments through interviews, analysis and gap lists; at senior level, lead assessments and turn findings into prioritized roadmaps.
Work with data engineers and platform teams to implement standards, classification, lineage and quality checks in catalogs and data platforms.
Prepare governance metrics, reporting, training material and audit evidence; contribute to reusable assets and accelerators; at senior level, coach consultants and client data stewards.

Benefity

Yearly financial bonus.
Private medical care with Medicover; additional packages, including dental, senior care and oncology, are available on preferential terms.
Life insurance.
Access to the NAIS benefit platform.
Access to over 70 training tracks with certification opportunities on the NEXT platform.
Free access to the Education First languages platform, TED Talks and Udemy Business materials and trainings.
Home office package including a laptop, monitor and chair.
Sport subscription.
Free coffee.
Bike parking and free parking.
Mobile phone.
In-house trainings.
Modern office and no dress code.

Premie

Opieka zdrowotna

Ubezpieczenie

Dofinansowanie szkoleń

Kursy językowe

Karta sportowa

Napoje w biurze

Parking dla rowerów

Parking dla aut

Telefon

Szkolenia wewnętrzne

Capgemini

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