Data Science - Senior Manager

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. Your ability to direct teams through complexity, demonstrating composure in challenging situations, will contribute to the success of our firm. This opportunity allows you to deepen and evolve your skills, focusing 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 and statistical modeling
• Utilizing advanced analytics and statistical techniques to extract insights from large datasets
• Developing and implementing data visualizations to solve complex business problems and inform strategic decisions
• Managing and coaching teams to apply sound judgment and solve through complexity
• Applying systems thinking to identify underlying problems and opportunities within data projects
• Validating outcomes with clients and acting on feedback to enhance project success
• Directing teams through ambiguous and challenging situations while maintaining composure
• Promoting the use of innovative technologies and leading practices in data science and analytics
• Building and maintaining relationships with stakeholders to identify and address data challenges
• Overseeing the deployment of scalable data engineering solutions to support business growth What You Must Have
• At least a Bachelor's degree
• At least 12 years of experience
• Oral and written proficiency in English required
• Experience with enterprise cloud AI platforms
• Azure AI Foundry integrated with Microsoft Fabric and Purview, Amazon Bedrock with Knowledge Bases and Guardrails, or Google Vertex AI with BigQuery and Agentspace for building, governing, and deploying production-grade Gen AI and Agentic AI solutions at scale.
• Awareness of AI governance platforms and observability tools (LangSmith, Arize, etc.) for monitoring, tracing, and debugging production AI systems.
• Capable of LLM selection decisions (GPT, Claude, Gemini, Llama, Mistral, etc.) against enterprise requirements including cost, latency, and compliance 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 for innovative solutions
• Leading complex data engineering projects with a focus on operational excellence
• Applying systems thinking to identify and solve underlying problems
• Excelling in strategic questioning and data-driven decision making
• Validating outcomes with clients and acting on feedback to drive results