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

At PwC Switzerland, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We're part of a tech-forward, people-empowered network and help clients build, accelerate and sustain momentum across audit, assurance, tax, legal, workforce, deals and consulting.

As a Data Management Specialist (Senior Associate or Manager) in PwC's Cloud, Data & AI team, you will take a leading role in helping clients transform data into trusted, scalable, and business-critical assets.

You will implement and drive complex data management, governance, platform, and AI-readiness initiatives from strategy through execution, helping organisations build the foundations for better decisions, smarter operations, and sustainable digital growth.

• 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.
• Drive business development and market growth by shaping propositions, developing proposals, contributing to RfP responses, supporting commercial discussions, and identifying opportunities to expand client relationships.
• 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.
• Coach and develop team members by providing guidance, feedback, and day-to-day leadership that strengthens delivery quality and builds the next generation of data and AI consultants.
• 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; advanced degrees or relevant executive education are an advantage.
• Significant consulting experience in an international, client-facing environment, with a strong track record of managing workstreams or projects within data, technology, analytics, or digital transformation programmes.
• Commercial mindset and proposal experience including contribution to sales opportunities, solution design, pricing, and client relationship development.
• Experience leading workshops and engaging senior stakeholders across business and technology functions, with the confidence to challenge assumptions and build alignment around pragmatic solutions.
• Strong expertise 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.