Pwc
SeniorManager/DirectorforDataandAITechnology
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“Senior Manager / Director for Data and AI Technology at Pwc. Skills: AI Technology, Data Engineering, AI Development, MLOps. Define strategic direction for AI. Drive strategic direction for AI”
What They're Looking For.
Must Have
8+ years AI engineering, 8+ years data science, 8+ years advanced analytics, 8+ years AI technology leadership, Hands-on AI/ML development, Architectural AI/ML development, Data engineering experience, AI solutions deployment experience, Industrialised AI use cases experience, Modern AI technology stacks understanding, Modern AI platforms understanding, Modern AI operating models understanding, Commercial mindset, Business development experience, Client relationships growth experience, Professional fluency in English, Professional fluency in Czech
Nice to Have
Consulting experience preferred, Industry experience preferred, Large-scale digital programmes experience preferred, Computer vision experience preferred, Predictive analytics experience preferred, Automation experience preferred, AI-enabled operations experience preferred, Cloud experience preferred, MLOps experience preferred, Scalable data platforms experience preferred
What You'll Do.
Define strategic direction for AI
Drive strategic direction for AI
Define AI development services
Drive AI development services
Define AI engineering services
Drive AI engineering services
Lead AI solutions delivery
Advise executives on AI architectures
Advise leaders on AI platforms
Advise leaders on AI delivery models
Lead client engagements
Lead advanced analytics engagements
Lead machine learning engagements
Lead computer vision engagements
Lead AI industrial settings engagements
Lead AI operational settings engagements
Build high-performing teams
Lead high-performing teams
Develop high-performing teams
Contribute to market presence
Deliver thought leadership
Deliver demonstrations
Conduct executive discussions
How You'll Work.
Team & Collaboration
Multidisciplinary teams; Data scientists; Data engineers; Architects; International exposure
Communication Scope
Executive presentations; Executive-level discussions
Process & Methodology
Agile development, Scrum, SAFe, Prince2, PMI
Full Job Description
**Job Description & Summary** Are you passionate about building production-grade AI solutions and shaping how organisations design, develop, and scale AI technologies in real-world environments? As a Senior Manager / Director – Data & AI Technology, you will play a key leadership role in defining PwC’s AI technology and development capabilities, helping clients move from experimentation to industrialised, scalable AI adoption. ## About the Team Our Data and AI team brings together experts across the end-to-end data and AI lifecycle – from strategy and governance to engineering, development, and industrial deployment. The team combines deep expertise in data platforms, AI and ML development, computer vision, and AI in industrial environments, working in a flat, collaborative setup with a strong international exposure across the Czech Republic and the wider CEE region.**** ## About Your Manager [Tomas](http://www.linkedin.com/in/tomasfiala-godigital/) as a Partner in PwC leads the whole Document Automation team and cooperates with 4 team managers to create and execute our strategy. Tomas is passionate about team vision and delivering high services to our internal and external clients. He enjoys all outdoor sport activities, in particular cycling and cross-country skiing. ## Job Description & Summary As a senior leader within PwC's Data and AI practice in the Czech Republic, you will be responsible for shaping and scaling PwC's AI technology, engineering, and development capabilities. You will work with clients across industries to design, build, and deploy advanced AI solutions, while leading multidisciplinary teams of data scientists, engineers, and architects. You will: * Define and drive the strategic direction for AI technology, development, and engineering services within PwC. * Design and lead delivery of end-to-end AI solutions, from data engineering and model development to deployment and operation in production environments. * Act as a senior advisor to execu
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