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EY - GDS Consulting - AI and DATA - Solution Architect - Senior Manager

ExperiencedNo visa sponsorship
Ernst & Young logo

at Ernst & Young

Big Four

Posted 5 days ago

No clicks

**EY Senior Manager - AI and DATA Solution Architect** Lead AI and data projects from inception to delivery at EY. Manage resources and timelines, ensuring alignment with business goals. Develop/design scalable data solutions, leveraging best practices in data value chain. Collaborate with senior clients, understand business challenges, position AI offerings, and contribute to go-to-market strategies. Provide technical guidance on end-to-end data pipelines using Azure, AWS, GCP, Spark, Python, and SQL. Lead cross-functional teams, mentor colleagues, and foster a culture of innovation. Drive thought leadership and keep up-to-date with technology advancements. Requires 15+ years of industry experience in AI, data analytics, or consulting, with a significant portion in a leadership role. A Bachelor's or Master's degree in a relevant quantitative field is necessary. Proven expertise in data engineering stack, analytics applications, and complex solution architecting. Excellent problem-solving, analytical, and communication skills.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
India

Full Job Description

At EY, youll 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 were 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.

 

 

EY | Building a better working world 


 
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.  


 
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  


 
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.  

EY - GDS Consulting - AI and DATA - Solution Architect - Senior Manager

Compensation

Not specified

City: Not specified

Country: India

Ernst & Young logo
Big Four

5 days ago

No clicks

at Ernst & Young

ExperiencedNo visa sponsorship

**EY Senior Manager - AI and DATA Solution Architect** Lead AI and data projects from inception to delivery at EY. Manage resources and timelines, ensuring alignment with business goals. Develop/design scalable data solutions, leveraging best practices in data value chain. Collaborate with senior clients, understand business challenges, position AI offerings, and contribute to go-to-market strategies. Provide technical guidance on end-to-end data pipelines using Azure, AWS, GCP, Spark, Python, and SQL. Lead cross-functional teams, mentor colleagues, and foster a culture of innovation. Drive thought leadership and keep up-to-date with technology advancements. Requires 15+ years of industry experience in AI, data analytics, or consulting, with a significant portion in a leadership role. A Bachelor's or Master's degree in a relevant quantitative field is necessary. Proven expertise in data engineering stack, analytics applications, and complex solution architecting. Excellent problem-solving, analytical, and communication skills.

Full Job Description

At EY, youll 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 were 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.

 

 

EY | Building a better working world 


 
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.  


 
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  


 
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.