Gurugram, Haryana, India
As a Director at PwC India, I bring extensive expertise in delivering enterprise AI and data engineering solutions aligned with business strategy and technology goals. With over two decades of experience, I focus on designing scalable data platforms, intelligent applications, and cloud-native ecosystems that enable advanced analytics, automation, and innovation. My role involves providing architectural leadership, governance, and technical direction while collaborating with cross-functional stakeholders to translate complex business requirements into secure, high-performing solutions. My professional journey reflects a strong commitment to driving digital transformation, particularly in cloud-driven data architectures and AI enablement. Having led impactful initiatives at organizations such as KPMG India and Motherson Technology Services, I have built a reputation for architecting future-ready data ecosystems and fostering engineering excellence. My work is rooted in leveraging data and technology to empower organizations to achieve meaningful, measurable business outcomes.
Drive the architecture and delivery of enterprise AI and data engineering solutions that align with business strategy and technology goals. Lead the design of scalable data platforms, intelligent applications, and cloud-native ecosystems to enable advanced analytics, automation, and innovation. Partner with cross-functional stakeholders to translate complex business requirements into secure, high-performing, and future-ready technical solutions. Provide architectural leadership, governance, and technical direction to ensure successful execution and measurable business impact. - Define and lead architecture strategy for AI, machine learning, analytics, and data engineering solutions. - Design scalable data platforms, pipelines, and cloud-native systems that support business growth and innovation. - Translate business needs into end-to-end technical solutions in collaboration with stakeholders, product teams, and engineers. - Establish architecture standards, governance, and best practices for scalability, security, and performance. - Guide delivery teams through solution design, implementation, modernization, and optimization initiatives. - Mentor technical teams and drive adoption of emerging technologies, AI capabilities, and data engineering best practices.
At PwC India, I lead cloud-driven data transformation initiatives that empower organizations to unlock business value through scalable, secure, and future-ready data platforms—primarily leveraging Microsoft Azure. Key highlights of my role: • Strategic Architecture Leadership: Spearhead the design and implementation of cloud-native data architectures aligned with enterprise goals, ensuring performance, governance, and cost-efficiency. • Thought Leadership & Enablement: Actively contribute to internal communities of practice and knowledge forums, mentoring teams, promoting engineering best practices, and driving capability development. • Business Impact through Data: Translate complex data problems into business opportunities by aligning data platforms with strategic outcomes—enabling better decisions through analytics and AI-readiness. • Consultative Delivery: Partner with cross-functional stakeholders across IT, business, and sales to co-create data strategies, lead POCs, and guide adoption of modern data solutions. • Governance & Standards: Define and enforce architectural standards, technical design principles, and reusable accelerators to ensure consistency and quality across engagements. • Client Engagement & Growth: Contribute to key pursuits and proposals by positioning PwC’s Data & Analytics capabilities, co-developing tailored solutions, and influencing account growth. As I look ahead, I’m focused on expanding my impact by driving end-to-end data strategy, building high-performing teams, and supporting clients in realizing the full potential of their data ecosystems. I’m passionate about sharing knowledge, solving meaningful problems, and enabling the next wave of data leaders.
At MothersonSumi, I led the Data Engineering Practice and drove cloud and big data transformation initiatives across manufacturing and automotive clients. My focus was on building scalable, secure data platforms using Azure, AWS, and Hadoop ecosystems, while also playing a strategic advisory role in digital transformation programs. Key Highlights: • Built and led the Data Engineering practice—defining offerings, delivery models, and reusable assets across cloud and big data platforms. • Designed enterprise-grade architectures to support critical business applications, ensuring high availability and disaster recovery readiness. • Acted as SME for Azure and AWS-based data solutions, guiding technical decisions and architectural direction across multiple programs. • Established architecture governance processes, ensuring alignment with standards and best practices. • Designed and implemented scalable data pipelines for ingestion, transformation, and analytics using Hadoop, Spark, and modern data tools. • Supported sales and pre-sales by delivering product demos, POCs, and solution proposals aligned to client use cases. • Collaborated with IT and business stakeholders to position Digital & Analytics solutions, building strong relationships and driving adoption. • Delivered real-time and batch data solutions for IoT, predictive maintenance, and supply chain analytics. This role solidified my ability to scale data initiatives from the ground up and lead with both strategic vision and technical depth
In this dual role, I was responsible for designing modern, business-aligned data solutions and driving end-to-end delivery across large-scale analytics initiatives. My focus was on translating business vision into scalable, cost-effective technical architectures using modern data and cloud platforms. Key Responsibilities & Achievements: • Defined and recommended modern architecture patterns to address complex business challenges using big data, cloud, and analytics technologies. • Led solution design from business capability modeling to conceptual and logical architecture—ensuring alignment with strategic goals. • Evaluated alternative solution approaches, modeled trade-offs, and presented cost-benefit analyses to stakeholders. • Created detailed solution documentation and Agile architecture assets to guide development and gain stakeholder sign-off. • Mentored and guided cross-functional architects and developers to ensure design consistency and reusability across projects. • Championed architectural efficiency by identifying reusable components and driving standardization across platforms. • Played a leadership role in scaling solution strategy across programs, collaborating with business, engineering, and operations teams for smooth execution. This role allowed me to bridge business and technology effectively, setting the stage for broader cloud architecture and practice leadership roles in my next career chapters.
As a Technical Architect, I led cross-functional digital initiatives across application development, mobile platforms, and analytics. My role bridged software engineering and data-driven solutioning, ensuring scalable and integrated systems aligned with enterprise needs and global operations. Key Responsibilities & Impact: • Led architecture and design for enterprise apps, data platforms, and BI solutions, incorporating modern technologies like microservices, containerization, and web services. • Defined technical strategies and recommended appropriate technology stacks for diverse modules—across web, mobile, and data ecosystems. • Prepared and reviewed solution designs, ensuring alignment with architectural principles and delivery best practices. • Acted as the primary technical interface across multiple product and project teams, ensuring cohesive delivery and communication. • Directed end-to-end SDLC activities: sprint planning, resource allocation, risk tracking, QA oversight, and deployment management. • Delivered multiple international projects with strong focus on time, quality, and stakeholder satisfaction. • Provided hands-on guidance to developers and QA teams across feature design, technical troubleshooting, and performance tuning. • Implemented agile and hybrid delivery models, conducting daily stand-ups, sprint reviews, and retrospectives. • Ensured quality assurance through code reviews, design walkthroughs, and UAT coordination. This role allowed me to sharpen both my technical depth and program management capabilities, laying the groundwork for my transition into cloud architecture and analytics leadership.