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Generative AI Architect- Senior Manager

Pwc · Bangalore

Strong hiring record · median 28 days open

100100

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Actively hiring

Posted yesterday · still listed on the employer's own board · How we score

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  • Posted yesterday
  • Still listed on the employer's own board

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Generative AI Architect- Senior Manager at Pwc. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Manager

Job Description & Summary

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As a Generative AI Architect - Senior Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Data and Analytics Engineering practice, you will focus on leveraging advanced analytics and statistical techniques to extract insights from large datasets and drive data-driven decision-making. As a Senior Manager, you will utilize your skills and professional network to deliver quality results, motivating and coaching teams to solve complex problems. You will apply sound judgment, recognizing when to take action and when to escalate, while developing and sustaining high-performing, diverse, and inclusive teams.

In this role at PwC Acceleration Center India, you will craft and convey clear, impactful messages that tell a holistic story. You will apply systems thinking to identify underlying problems and opportunities, validate outcomes with clients, and share alternative perspectives. Directing the team through complexity, you will demonstrate composure through ambiguous, challenging, and uncertain situations. Your commitment to excellence will contribute to the success of our firm, as you deepen and evolve your skills with a focus on staying relevant in the ever-changing landscape of data science and analytics.

Responsibilities

  • Leading the design and development of advanced data solutions to transform raw data into actionable insights
  • Driving data-driven decision-making through exploratory and descriptive analysis, statistical modeling, and data visualization
  • Managing large-scale data science projects, confirming timely delivery and alignment with client objectives
  • Applying advanced analytics and statistical techniques to extract insights from complex datasets
  • Collaborating with cross-functional teams to identify and address data challenges and opportunities
  • Developing and implementing data pipelines and workflows to support data science initiatives
  • Utilizing machine learning and artificial intelligence to enhance predictive modeling and data analysis
  • Coaching and mentoring team members to foster a culture of continuous learning and innovation
  • Validating outcomes with clients and incorporating feedback to refine data solutions
  • Promoting the use of innovative technologies and leading practices in data science and analytics

What You Must Have

  • At least a Bachelor's degree
  • At least 12+ years of experience
  • Oral and written proficiency in English required

What Sets You Apart

  • Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
  • Demonstrating advanced skills in data science algorithms and workflows
  • Utilizing machine learning and deep learning techniques effectively
  • Applying complex data analysis and predictive modeling in projects
  • Leading teams through ambiguity with strategic questioning and storytelling
  • Managing data pipelines and confirming data quality in analytics projects
  • Excelling in coaching and feedback to develop high-performing teams

Travel Requirements

0%

Job Posting End Date

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