Digital Solution Architect Senior Advisor

We are currently seeking a Digital Solution Architect Senior Advisor to join our team in Bengaluru, India, KarnAtaka (IN-KA), India (IN).

We are seeking an experienced solution architect specializing in technology based business process solutions to join our dynamic Digital BPS team at NTT DATA. As an SME (subject matter expert), you will closely work with NTT DATA's customers to understand their business problems and engage with them to provide consulting and solutioning for solving their business problems using AI and Automation related technologies. Design and implement effective AI technologies and methods to address clients' business problems and needs, while complying with company's strategies, business goals, and key ethical considerations. Your engagement with the customer should give the customer confidence that NTT DATA is the right business and technology partner for their operation.

Experience Requirement

• 10+Experience in solution architecture with an emphasis on business process services
• 7+ Experience in Banking, Financial Services, and Insurance (BFSI) Industy
• 3+ years of experience with automation and machine learning solutions.
• 5+ Years in financial cost modelling.
• Experience with creating and communicating business value prop to executive in both oral and written format.

Responsibilities

• Be a solution architecture/designer for business process service.
• Independently able to solution and respond to RFPs.
• Provide solution and technology consulting and drive opportunities for leveraging GenAI, AI based solutions on various platforms
• Drive close discussions with client and draw technical and functional requirements through workshops with stakeholders
• Develop Point of Views that provide details of scope, due-diligence, approach and business/cost benefit.
• Collaborate with NTT DATA Global business and stakeholders

Qualifications

• Bachelors / Masters / PhD degree in Computer Science or related field
• Certification or Degree with AI and machine learning.

Skills

• Excellent communication and articulation in English language
• Strong excel and math acumen.
• Excellent problem-solving and analytical skills.
• Enthusiasm for AI/ML technologies and a proactive attitude towards learning and staying updated.