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

PwC is hiring a Senior Associate / Manager - Cloud, Data & AI - Data Management Specialist in Zurich, Switzerland. Level rates it ; you can apply on PwC.

Level's read on this job

Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
The posting mentions visa sponsorship.
The posting mentions Databricks, data management and data governance among its tools and skills.
Level classes it as a senior role.
PwC has 3,700+ other open roles on Level.

AI in this role

Lead data management, governance, and AI-readiness initiatives to help clients build modern cloud data platforms and AI capabilities.

Databricks

data-managementdata-governancedata-qualitycloud-platformsai-readiness

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

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.

You will work closely with senior client stakeholders, multidisciplinary PwC teams, and technology specialists, working at the heart of ambitious, high-impact transformation programmes across industries to create value through modern data and AI capabilities and 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.

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.

Your Skill Set:

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.

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

How we rate this

Senior Associate / Manager - Cloud, Data & AI - Data Management Specialist at PwC rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Associate / Manager - Cloud, Data & AI - Data Management Specialist is an open job at PwC.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Zürich.
The job was posted on September 24, 2026.
Seniority: senior.
Applications are handled by PwC. Apply on PwC

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data ManagementData GovernanceData QualityCloud PlatformsAI ReadinessDatabricks

Questions you could be asked

Tell me about a project where data management was part of your work. What did you do?
Tell me about a project where data governance was part of your work. What did you do?
Tell me about a project where data quality was part of your work. What did you do?
Tell me about a project where cloud platforms was part of your work. What did you do?
Tell me about a project where ai readiness was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Data Management, Data Governance, Data Quality, Cloud Platforms, and AI Readiness. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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