Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

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.

Your Impact:

• 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.

Your Skill Set:

• 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.
  

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling {+ 43 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date