Enterprise Master Data Lead

Want to help us bring happiness to the world? Want to join an ambitious and fast growing global biscuits and confectionery business investing heavily in iconic global brands, infrastructure and people? Then this is the place for you. As proud bakers and chocolatiers and custodians of iconic global brands, we don’t compromise on the quality of ingredients in our products or on the people we hire.

We are looking for entrepreneurial spirits who share our passion for bringing happiness to our consumers and who embody our Winning Traits. To succeed at pladis you need to be purpose‑led, resilient and positive, because we expect pace and agility, insist on collaboration and demand accountability. If that is your thing, then pladis offers global ambition, a clear Vision and roadmap for success, challenge, and unrivalled opportunities to learn and make an impact.

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Enterprise Master Data Lead
Function:
Global Data & Analytics (D&A)

Location:

Global / Regional hub
Company: pladis

Our purpose at pladis: to bring happiness with every bite. We are a global snacking company built on over 300 years of heritage, uniting iconic brands such as McVitie’s, GODIVA, and Ülker, and serving consumers in more than 120 countries. As pladis continues to grow, data plays a critical role in helping us delight consumers, empower our teams, and make better, faster decisions responsibly and sustainably.

Our strategy is to get Data AI ready and our objective is to align functional and regional leaders on a data governance framework.

• Master Data Governance Enablement
  • Define and maintain the enterprise master data governance framework in line with business needs and existing scenario.
  • Create governance standards, rule templates, and stewardship models for regional and global business data owners.
  • Enable business ownership of master data through practical governance playbooks and decision frameworks.
  • Enable design and/or selection of the automated workflows/products to manage master data using an agreed MDM strategy.
  • Lead the implementation of MDM workflows with business stakeholders by defining steps to identify, clean, enrich, manage and distribute master data as a single source of truth for any transactional and analytical needs.
  • Orchestrate collaboration across business, MDM, data engineering, and analytics teams.
• Regional & Global Data Requirements and pladis’ Data Product Enablement
  • Partner with regional business and IT leaders to understand core data, reporting, and analytics needs.
  • Apply a structured framework to identify, assess, and prioritise regional and global data requirements.
  • Translate fragmented regional needs into scalable, enterprise‑level pladis data product concepts.
  • Define core and baseline pladis data products supporting mandatory reporting, analytics, and AI use cases across all major business functions.
  • Standardise key pladis master and reference data domains including customer, product, pricing, promotions, and supply chain data in alignment with pladis value streams and business capability matrix.
  • Clearly articulate business value, scope, and expected outcomes for each data product.
  • Ensure data products are designed for reuse across global reporting, self‑service analytics, and automation.

• CPG Domain Expertise (Mandatory) 12–15+ years of deep, hands‑on experience in CPG Master Data Management, Governance and Data Analytics, including (but not limited to):
  Product, material and customer hierarchies, sales, trade promotions, pricing, supply chain and manufacturing.
• Proven experience partnering with regional and global CPG business teams.
• Critical thinking, influencing, ability to embed and explain why F.A.I.R data is important for competitive advantage.
• Proven ability to design frameworks, operating models, and templates, not just solutions.
• Strong familiarity with modern data platforms (cloud, lakehouse, warehousing).
• Working knowledge of:
  Data pipelines and integrations, SQL and analytics tools.
• Experience operating in Agile or product‑centric delivery environments (is a must).
• Ability to influence without formal data ownership.
• Strong…