Manager / Senior Manager - Cloud, Data & AI (CD&AI) - Data Engineering
AI in this role
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Emerging TechnologiesManagement Level
Senior ManagerJob Description & Summary
Your Impact
- Collaborate with your team to source high-impact projects and engage with senior stakeholders from high-profile clients in diverse industries such as Pharma & Life Sciences, Financial Services, Retail & Consumer, Industrial Products, and Public Services.
- Empower your clients to innovatively leverage their data by proposing holistic end-to-end solutions, ensuring successful delivery and value generation in alignment with their specific needs.
- Facilitate your clients' advancement in digitization by gathering their requirements and proposing state-of-the-art solutions.
- Challenge the status quo, actively seek necessary information, comprehend the challenges, and communicate your ideas clearly to senior stakeholders.
- Implement and continuously expand your knowledge of best practices in technology, data engineering, analytics, and consulting approach.
Your Skill Set
- A university degree in fields such as business informatics, computer science, physics, mathematics, or any engineering discipline is preferred.
- Over 7 years of work experience focused on data engineering, analytics, or data science, with consulting experience considered a bonus.
- Experience in sourcing, preparing, and delivering end-to-end solutions to internal or external clients is crucial.
- Proficiency in multiple programming languages such as Python, R, SQL, or similar is required.
- Experience in developing and deploying data engineering or AI applications is advantageous.
- Fluency in English and German, with a willingness to travel within Switzerland and occasionally internationally; French language skills are considered a plus.
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, Analytical Thinking, Analytics Strategy, Architecture Development, Business Architecture, Business Model Innovation, Business Transformation, Cloud Computing, Coaching and Feedback, Commercial Strategies, Communication, Creativity, Digital Customer Experience, Digital Strategies, E-Commerce, Embracing Change, Emotional Regulation, Empathy, Implementing Technology, Inclusion, Influence, Information Technology Applications, Intellectual Curiosity {+ 19 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
How we score this
Manager / Senior Manager - Cloud, Data & AI (CD&AI) - Data Engineering at PwC scores 31 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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