Data Architect Sr. Advisor

Job Description

Req ID: 323777 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data Architect Sr. Advisor to join our team in Bangalore, Karn taka (IN-KA), India (IN). "Job Duties: The Data & AI Architect is a seasoned level expert who is responsible for participating in the delivery of multi-technology consulting services to clients by providing strategies and solutions on all aspects of infrastructure and related technology components. This role collaborates with other stakeholders on the development of the architectural approach for one or more layer of a solution. This role has the primary objective is to work on strategic projects that ensure the optimal functioning of the client s technology infrastructure. Key Responsibilities: Ability and experience to have conversations with the CEO, Business owners and CTO/CDO Break down intricate business challenges, devise effective solutions, and focus on client needs. Craft high level innovative solution approach for complex business problems Utilize best practices and creativity to address challenges Leverage market research, formulate perspectives, and communicate insights to clients Establish strong client relationships Interact at appropriate levels to ensure client satisfaction Knowledge and Attributes: Ability to focus on detail with an understanding of how it impacts the business strategically. Excellent client service orientation. Ability to work in high-pressure situations. Ability to establish and manage processes and practices through collaboration and the understanding of business. Ability to create new and repeat business for the organization. Ability to contribute information on relevant vertical markets Ability to contribute to the improvement of internal effectiveness by contributing to the improvement of current methodologies, processes and tools. Minimum Skills Required: Academic Qualifications and Certifications: BE/BTech or equivalent in Information Technology and/or Business Management or a related field. Scaled Agile certification desirable. Relevant consulting and technical certifications preferred, for example TOGAF. Required Experience: 12-15 years Seasoned demonstrable experience in a similar role within a large scale (preferably multi- national) technology services environment. Very good understanding of Data, AI, Gen AI and Agentic AI Must have Data Architecture and Solutioning experience. Capable of E2E Data Architecture and GenAI Solution design. Must be able to work on Data & AI RFP responses as Solution Architect 10+ years of experience in Solution Architecting of Data & Analytics, AI/ML & Gen AI Technical Architect Develop Cloud-native technical approach and proposal plans identifying the best practice solutions meeting the requirements for a successful proposal. Create, edit, and review documents, diagrams, and other artifacts in response to RPPs RFQs and Contribute to and participate in presentations to customers regarding proposed solutions. Proficient with Snowflake, Databricks, Azure, AWS, GCP cloud, Data Engineering & AI tools Experience with large scale consulting and program execution engagements in AI and data Seasoned multi-technology infrastructure design experience. Seasoned demonstrable level of expertise coupled with consulting and client engagement experience, demonstrating good experience in client needs assessment and change management. Additional Job Description Additional Job Description Additional Career Level Description: Knowledge and application: Seasoned, experienced professional; has complete knowledge and understanding of area of specialization. Uses evaluation, judgment, and interpretation to select right course of action. Problem solving: Works on problems of diverse scope where analysis of information requires evaluation of identifiable factors. Resolves and assesses a wide range of issues in creative ways and suggests variations in approach. Interaction: Enhances relationships and networks with senior internal/external partners who are not familiar with the subject matter often requiring persuasion. Works"