EY - GDS Consulting - AI and DATA - Solution Architect - Senior Manager
EY · Kolkata
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
Key Responsibilities
- Program Leadership: Oversee the entire lifecycle of AI and data projects, from proposal to successful delivery, ensuring alignment with strategic business goals and managing resources, timelines, and deliverables.
- Solution Architecture: Ability to develop/design scalable data solutions, leveraging best practices in data value chain
- Client Management & Business Development: Serve as a primary point of contact for senior client executives, understanding their business challenges, positioning AI offerings, and actively participating in go-to-market strategies and proposal development (RFPs).
- Technical Expertise: Provides guidance on the implementation and optimization of end-to-end data pipelines, utilizing various cloud platforms (Azure, AWS, GCP) and technologies like Spark, Python, and SQL.
- Team and People Management: Mentor and lead large, cross-functional teams of data engineers, data scientists, and architects, fostering a culture of innovation and continuous learning and managing performance and professional development.
- Innovation and Thought Leadership: Stay updated with the latest technology advancements and drive innovation within the firm and for clients, defining best practices.
Required Skills and Qualifications
- Experience: Typically requires 15+ years of relevant industry experience in AI, data analytics, software development, or consulting, with a significant portion in a leadership or management role.
- Education: A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field.
Technical Proficiency:
- Hands on knowledge with all Big data and cloud data engineering stack
- Strong technical and hands on experience in building analytics applications
- Should have deep knowledge of complex solution architecting; have worked on various technologies, application space, data security and governance
Soft Skills: Excellent problem-solving, analytical, and communication skills, with the ability to translate complex technical details into clear business strategies for non-technical stakeholders.
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