Data Science - Senior Manager

PwC; Hyderabad, Gurugram District, Bengaluru; On-site; INR 2,500,000 - 6,500,000; Full time

Job summary

PwC Hyderabad is seeking a senior data leader to design and deliver advanced data solutions that convert raw data into actionable insights. You will drive data-driven decisions through analytics, modeling, and visualization, while coaching teams to navigate complex data challenges.

The role requires extensive experience in AI platforms, LLM governance, and collaboration with stakeholders to deliver scalable data engineering solutions for business growth.

Qualifications

• Bachelor's degree or higher in a relevant field.
• 12+ years of experience in data science, analytics or AI.
• Proficiency in English (oral and written).
• Experience with enterprise cloud AI platforms and Gen AI at scale.
• Awareness of AI governance platforms and observability tools.
• Ability to select and justify LLMs (GPT, Claude, Gemini, Llama, etc.) for enterprise needs.

Responsibilities

• Lead design and development of advanced data solutions to derive insights from raw data.
• Drive data-driven decision-making via exploratory and descriptive analysis and modeling.
• Develop data visualizations to inform strategic decisions.
• Coach and manage teams to solve complex data challenges.
• Govern data projects with systems thinking and stakeholder collaboration.
• Validate outcomes with clients and incorporate feedback for project success.
• Oversee deployment of scalable data engineering solutions to support growth.

Skills

English proficiency

Enterprise AI platforms

LLM governance

Data analytics

Team leadership

Systems thinking

Stakeholder management

Education

Bachelor's degree

Tools

Azure AI Foundry

Microsoft Fabric

Purview

Amazon Bedrock

Vertex AI

LangSmith

Arize

Job description

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