Gen AI Architect (Healthcare) - Senior Manager

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 Gen AI Architect (Healthcare) - 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. You will motivate and coach others, solving complex problems and applying sound judgment to recognize when to take action or escalate issues. Your ability to develop and sustain diverse and inclusive teams contributes to the success of our firm.

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 your team through complexity, you will demonstrate composure in ambiguous situations, deepen your skills, and initiate open coaching conversations. Your commitment to excellence and ability to make difficult decisions will resolve issues hindering team effectiveness, reinforcing professional and technical standards.

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 and statistical modeling
• - Managing complex data analysis and creating data visualizations to solve business problems and inform strategic decisions
• - Utilizing artificial intelligence and machine learning techniques to enhance data science workflows and predictive modeling
• - Building and maintaining data pipelines and confirming data quality and integrity within analytics frameworks
• - Collaborating with cross-functional teams to implement AI-driven automation and cognitive solutions
• - Coaching and mentoring team members to foster a culture of continuous learning and innovation
• - Applying systems thinking to identify underlying problems and opportunities in data engineering projects
• - Validating outcomes with clients and incorporating feedback to refine data solutions
• - Directing teams through complex and ambiguous situations, maintaining composure and focus on project goals

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

12+ years of relevant technical/technology experience, with a focus on GenAI projects.

Strong programming skills in languages such as Python, R, or Scala.

Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.

Experience with data preprocessing, feature engineering, and data wrangling techniques.

Solid understanding of statistical analysis, hypothesis testing, and experimental design.

• Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud.
• - Leveraging skills in data science algorithms and predictive modeling
• - Utilizing advanced machine learning techniques for healthcare solutions
• - Demonstrating proficiency in programming languages such as Python and R
• - Applying systems thinking to identify opportunities in complex data environments
• - Excelling in strategic questioning and storytelling to convey impactful messages
• - Leading teams through ambiguity with composure and strategic direction

Travel Requirements

Not Specified

Job Posting End Date