Senior Manager – Solution Architect, AI and Data

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EY

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1989

🏥 Healthcare

⚖️ Legal

📣 Marketing

Healthcare • Legal • Marketing

EY is a global professional services firm, widely recognized for providing audit, tax, consulting, and advisory services. It focuses on helping its clients solve complex problems and transform their businesses using data and technology. EY is committed to building a better working world by enhancing trust in financial markets and economies globally. Its services include corporate finance advisory, transaction strategy, technology consulting, and more, catering to sectors such as health, energy, finance, government, and more. EY also emphasizes sustainability and innovation in its solutions.

📋 Description

• 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. • Ability to develop/design scalable data solutions, leveraging best practices in data value chain. • 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). • 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. • 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. • Stay updated with the latest technology advancements and drive innovation within the firm and for clients, defining best practices.

🎯 Requirements

• 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. • A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field. • 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.

🏖️ Benefits

• Competitive salary