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

ph3Line of Service /h3pAdvisory /ph3Industry/Sector /h3pNot Applicable /ph3Specialism /h3pData, Analytics AI /ph3Management Level /h3pManager /ph3Job Description Summary /h3pAs 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. /ppYou 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. /ppYou 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. /ph3Your Impact /h3ulliLead 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. /liliShape 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. /liliSupport 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. /liliBuild effective governance processes, forums, and decision-making mechanisms that create clarity, accountability, and lasting adoption across the organisation. /liliCreate 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. /liliDrive business development and market growth by shaping propositions, developing proposals, contributing to RfP responses, supporting commercial discussions, and identifying opportunities to expand client relationships. /liliContribute 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. /liliCoach 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. /liliStay 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. /li /ulh3Your Skill Set /h3ulliA degree in Business, Information Systems, Computer Science, Engineering, Economics, or a related field; advanced degrees or relevant executive education are an advantage. /liliSignificant 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. /liliCommercial mindset and proposal experience including contribution to sales opportunities, solution design, pricing, and client relationship development. /liliExperience leading workshops and engaging senior stakeholders across business and technology functions, with the confidence to challenge assumptions and build alignment around pragmatic solutions. /liliStrong 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. /liliHands-on experience in data governance or data management initiatives, data catalogues or metadata solutions , data migration , or data transformation projects in an international environment. /liliPractical 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. /liliInterest in, and conceptual understanding of, business process analytics , ideally with hands-on experience in technologies such as Celonis or Signavio. /liliRecognised 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. /liliExperience working in cross-functional and international teams, both in person and remotely. /liliExcellent written, spoken, and visual communication skills in English and German; additional languages are an advantage. /li /ulh3Optional Skills /h3pAccepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automati /p /p #J-18808-Ljbffr