Key Responsibilities: 

• Lead consulting engagements focused on end-to-end solutioning of modern data architectures. 

• Advise clients on best practices and strategic approaches to data management and analytics solutions. 

• Collaborate with cross-functional teams and stakeholders to integrate data strategies into overall business objectives. 

• Drive innovation and thought leadership in data science and analytics, enhancing PwC's consulting offerings. 

• Manage and mentor diverse teams executing cloud services (AWS/Azure/GCP), Databricks implementations, data lakehouse, data warehousing and data lake projects. 

• Ensure high standards of data accuracy, integrity, and security in client deliverables. 

• Develop frameworks for data modeling and visualization that align with client needs and industry trends. 

• Work on designing proposals against the client RFPs 

• Promote and inculcate the use of accelerators in solutioning & delivery 

Required Skills & Experience: 

• Substantial consulting experience in data architecture and analytics. 

• Over 10 years of IT experience with a strong focus on client engagement and consultancy. 

• Expertise in AWS/Azure/GCP cloud services, Databricks, and data management solutions. 

• Strong skills in data modeling, analytical modeling, and visualization tailored for consulting. 

• Demonstrated ability to lead consulting teams and deliver impactful solutions. 

• Excellent communication skills, with a strong emphasis on client relationship management and stakeholder engagement. 

• Flexible to travel across locations for consulting/business requirements 

Preferred Qualifications: 

• Bachelor's or Master's degree in Computer Science, Information Technology, or related fields. 

• Certification in cloud platforms (AWS, Azure, GCP, Databricks) preferred. 

• Previous experience in a Big Four consulting firm is an asset. 

• Previous experience in FinTech industry like insurance, banking, NBFC etc. would be an added advantage