Senior Associate - Cloud, Data & AI - Data Management Specialist

As a Senior Associate in PwC’s Cloud, Data & AI team, you will help leading organisations turn data into a strategic advantage. You will support clients in designing, implementing, and embedding modern data management and governance capabilities that make data trusted, discoverable, AI-ready, and impactful for business decision-making.

You will join a multidisciplinary Technology & Data team and work at the heart of ambitious transformation programmes, collaborating with local and international clients across industries to shape the future of data-driven business.

• Lead impactful initiatives across data quality, ownership, metadata, lineage, and lifecycle management to ensure data is reliable, transparent, and ready to power advanced analytics, automation, and AI use cases.

• Shape and improve enterprise data platforms from an architectural, operational, and user adoption perspective, with a strong focus on data observability, data quality, and platform readiness for AI.

• Support the end-to-end creation of data products by translating business requirements into data definitions, models, transformation logic, quality rules, and usable outputs on modern cloud data platforms.

• Build effective governance processes, forums, and decision-making mechanisms that create clarity, accountability, and lasting adoption across the organisation.

• Create high-value client deliverables including target operating models, data platform blueprints, governance playbooks, policies, and implementation roadmaps that accelerate the journey toward modern data platforms and AI-enabled business models.

• Bridge business ambition and technology execution by translating complex data needs into clear, actionable requirements and working with technical teams to deliver scalable solutions on modern cloud data platforms.

• Contribute to market growth and business development by supporting proposals, RfP responses, solution design, pricing, and commercial discussions for data, analytics, platform, and AI-related opportunities.

• Stay ahead of the market by continuously expanding your expertise in emerging technologies, modern data platforms, AI, and industry trends to help clients unlock new sources of value.

• A degree in Business, Information Systems, Computer Science, Engineering, Economics, or a related field.

• Proven consulting experience in an international, client-facing environment, ideally supporting complex transformation programmes.
• Strong interest in, and understanding of, core data management and governance concepts such as data quality, metadata, master data, ownership, and their role in enabling data-driven transformation.

• Hands-on experience in data governance or data management initiatives, data catalogues or metadata solutions, data migration, or data transformation projects in an international environment.

• Practical experience with enterprise data platforms such as Microsoft Fabric, Snowflake, or Databricks, combined with a solid understanding of supporting architecture and data platform engineering concepts.

• Interest in, and conceptual understanding of, business process analytics, ideally with hands-on experience in technologies such as Celonis or Signavio.

• Recognised technical data and AI certifications such as DAMA CDMP, Microsoft DP-900, AZ-900, AI-900, DP-600, DP-700, Snowflake SnowPro Core, Databricks Data Analyst / Data Engineer, or similar are a plus.

• Experience working in cross-functional and international teams, both in person and remotely.

• Excellent written, spoken, and visual communication skills in English and German; additional languages are an advantage.
  

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