AI & Business Transformation Manager

PricewaterhouseCoopers Tax & Legal, S.L.

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Zürich Until 8/31/2026 First posted July 2, 2026 Last posted July 2, 2026
Job description

Line of Service

Tax

Industry/Sector

Not Applicable

Specialism

Tax Products Delivery Group (TPDG)

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in artificial intelligence engineering at PwC will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

  • Analyse and identify the linkages and interactions between the component parts of an entire system.
  • Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
  • Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
  • Develop skills outside your comfort zone, and encourage others to do the same.
  • Effectively mentor others.
  • Use the review of work as an opportunity to deepen the expertise of team members.
  • Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
  • Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Minimum years experience required

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Additional application instructions

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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, AI Implementation, Analytical Thinking, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility {+ 30 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

About this role

Summary

Lead AI projects, manage data systems, mentor teams, drive business transformation using AI

Job title

AI & Business Transformation Manager

Experience level

manager level

Industry

not applicable

Location requirements

Zurich, remote work not specified

Salary

Not specified

Management role

Yes

Skills & keywords

Required skills

AI implementationdata analysisdeep learningdata infrastructuresoftware engineering

Preferred skills

None specified

Specializations

AI implementationdata analysisdata infrastructuredeep learningsoftware engineering
Locations

Structured locations inferred from the posting.

Zürich, Switzerland

Work arrangement unknown City
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