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Salary
≈ $28k – $72k per year (Estimated)
Location
Hybrid (Warsaw, Katowice, Wrocław, Poland)
Seniority
Junior · 2+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 7, 2026. PwC scores B on the Alion truth index.

Overview
Company
Impact
Profile match

PwC

Headquartered in London, United Kingdom, PwC (PricewaterhouseCoopers) is a multinational professional services network and one of the "Big Four" accounting firms. The network provides a broad suite of business solutions, including financial auditing and assurance, tax advisory and compliance, corporate strategy, risk management, and digital transformation consulting. Operating across more than 150 countries, it delivers data analytics, deal advisory, and regulatory compliance services to global corporations, financial institutions, public sector organizations, and mid-market enterprises worldwide.

Job Description & Summary

PwC Poland’s Data, Digital Solutions & AI team comprises more than 50 specialists. We help our clients design and implement a strategic and sustainable approach to capitalising on the value of their data and boosting business results. We collaborate with organisations in various industries to develop solutions tailored to their needs.

We are looking for:

Master Data Management (MDM) Consultant

You will support Polish and international clients in designing and delivering enterprise-grade MDM and data governance solutions that generate measurable business value. You will work closely with business and IT stakeholders to define target operating models, master data processes, governance structures and implement technologies.

Your future role:

  • Support client consultations and workshops, translating business and IT objectives into MDM / MDG strategies, target operating models, functional requirements and transformation roadmaps,
  • Design and formalize master data management frameworks, including roles (Data Owners, Data Stewards), RACI models, policies, standards and operating principles,
  • Elicit, prioritize and document requirements; map existing and define adjusted end-to-end master data processes (creation, change, approval, distribution, retirement) across master data domains,
  • Define and validate master data models, hierarchies and attributes in close collaboration with business stakeholders,
  • Design and operationalize data quality management frameworks, including validation rules, KPIs, monitoring, reporting, issue management and escalation paths,
  • Assess clients’ current data and system landscapes, identify inefficiencies and design pragmatic transformation paths, including modern governance concepts (e.g. data mesh),
  • Prepare and deliver executive-level presentations, demos and pre-sales sessions; clearly articulate recommendations to senior and C-level stakeholders.

Apply, if you have:

  • 2+ years of professional experience in MDM field, ideally in a consulting or client-facing role,
  • Proven experience designing and implementing MDM domains (e.g. Product/Material, Supplier, Customer, Reference Data),
  • Demonstrated expertise in MDM governance and operating model design, including organizational enablement and processes and roles definition,
  • Understanding of master data modeling, validation rules, data quality management and the full master data lifecycle,
  • Hands-on experience with at least one enterprise MDM platform (e.g. SAP MDG, Stibo, Informatica, Ataccama),
  • Ability to independently lead workshops, facilitate discussions and align business and IT stakeholders,
  • Excellent communication skills in Polish and English (C1+), including executive storytelling and structured thinking,
  • Have demonstrated knowledge of new technologies and AI-powered tools in your daily work (e.g., task automation, information analysis, content creation),
  • Strong analytical and problem-solving skills; ability to work autonomously and take accountability for outcomes.

Nice to have:

  • End-to-end MDM / MDG implementation experience (operating model, domains, processes, tool selection, integrations),
  • Hands-on experience with SAP ERP and SAP MDG,
  • Professional communication skills in German, enabling participation in workshops, interviews and presentations with German-speaking clients,
  • Experience designing data strategies and operating models for modern data platforms (e.g. Microsoft Fabric, Databricks, Snowflake) and understanding their governance implications,
  • Understanding of Data Management and Data Governance Frameworks.

By joining us you gain:

  • work flexibility - openness for your preferences regarding contract form, hybrid working model, flexible start of the day, workation, sabbatical leave and additional summer solutions (e.g. Slow Fridays),
  • development and upskilling - our full support during onboarding process, mentoring from experienced colleagues, training sessions, workshops, certification co/financed by PwC and conversations with native speaker,
  • wide medical and wellbeing program - medical care package (incl. dental care, freedom of treatment, physiotherapy), various insurance packages (incl. foreign travel insurance), coaching, psychological consultations, concierge for young parents, sports groups and more,
  • possibility to create your individual benefits package (e.g. personal concierge, veterinary packages for your pets, financial & legal assistance) and access to an online cafeteria where you may find i.a. vouchers, discounts for IT devices and car purchase,
  • 3 paid hours for volunteering per month,
  • and when you start enjoying PwC as much as we do, you may recommend your friend to work with us.

Recruitment process:

  • Submit your resume,
  • Have a short phone conversation with our Recruiter,
  • Let's get to know each other better in the interview!

Send your application today!

In case you have any additional questions, contact us: [email protected].

Your personal data will be processed for recruitment purposes by PwC Advisory spółka z ograniczoną odpowiedzialnością sp.k. or another PwC entity which runs a recruitment process - (list of entities). If you have given separate consent, data will also be processed for other purposes in accordance with the content of the consents granted. Full information about processing your personal data is available in the Privacy Policy.

#LI-MT2 #hybrid

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