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 a subject matter expert, you will work closely with customers to understand their business challenges and provide consulting and solutioning using AI and automation technologies. Your role is to design and implement effective AI methods that align with client needs, company strategies, and ethical considerations, ensuring NTT DATA is viewed as a trusted partner.
Responsibilities
Act as a solution architect and designer for business process services.
Independently manage and respond to RFPs.
Provide technology consulting and drive opportunities for leveraging Generative AI and AI-based solutions across various platforms.
Conduct workshops with stakeholders to draw out technical and functional requirements.
Develop Points of View detailing scope, due diligence, approach, and business or cost benefits.
Collaborate with NTT DATA global business units and stakeholders.
Required qualifications
10+ years of experience in solution architecture with an emphasis on business process services.
7+ years of experience in contact center solutions across multiple industries.
3+ years of experience with automation and machine learning solutions.
5+ years of experience in financial cost modelling.
Proven experience creating and communicating business value propositions to executives in both oral and written formats.
Bachelors, Masters, or PhD degree in Computer Science or a related field.
Certification or degree with a focus on AI and machine learning.
Excellent communication and articulation skills in English.
Strong Excel and mathematical acumen.
For full details about this role, click “Apply on company site” to view the employer’s original posting.
Skills for this role
Solution ArchitectureBusiness Process ServicesContact Center SolutionsAutomationMachine LearningFinancial Cost ModellingGenerative AITechnical ConsultingRFP ResponseStakeholder ManagementProblem SolvingAnalytical Skills
Your skill match
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A focused preparation guide, built around this job’s responsibilities and requirements.
✦ AI-generated guide
Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.
01
Understand the role
What matters most
AI-Driven Business Process Transformation
The role centers on designing and implementing AI and automation solutions within business process services. You must demonstrate the ability to translate complex client business problems into actionable, technology-based architectures that align with NTT DATA's strategic goals and ethical standards.
Independent RFP and Value Proposition Development
You are expected to independently manage the full lifecycle of RFP responses. This requires strong financial cost modeling skills to build compelling business cases that clearly articulate cost benefits and ROI to executive-level stakeholders.
Stakeholder Engagement and Requirements Gathering
Success depends on your ability to facilitate workshops to extract both technical and functional requirements. You must be able to bridge the gap between client needs and technical implementation, ensuring the proposed solution builds trust in NTT DATA as a partner.
Likely challenges to think through
Balancing Innovation with Ethical Constraints
Implementing Generative AI and machine learning in enterprise environments often involves navigating strict ethical and compliance boundaries. Prepare to discuss how you maintain innovation speed while ensuring solutions are responsible, secure, and aligned with corporate governance.
Translating Technical Complexity for Executives
You will face the challenge of communicating highly technical AI architectures to non-technical executive decision-makers. Prepare by practicing how to distill complex technical trade-offs into clear, value-focused business narratives that justify the investment.
Managing Diverse Global Stakeholder Expectations
Collaborating with NTT DATA's global business units requires navigating different regional priorities and operational standards. Prepare to demonstrate your ability to maintain consistency in solution design while adapting to the specific cultural and functional needs of diverse global teams.
03
Practice your answers
Technical practice
Designing AI-Driven Contact Center Solutions
What to coverExplain how you would architect a solution that integrates Generative AI into an existing contact center environment. Focus on balancing automation efficiency with human-in-the-loop requirements and maintaining high service quality standards.
Financial Cost Modelling for Digital Transformation
What to coverDescribe your approach to building a financial model for a large-scale digital BPS project. Discuss how you quantify ROI, account for implementation costs, and justify long-term operational savings to executive stakeholders.
RFP Response Strategy and Due Diligence
What to coverOutline your process for independently managing an RFP response from initial receipt to final submission. Highlight how you conduct due diligence to ensure the proposed scope and technical approach are both feasible and competitive.
Ethical AI Implementation
What to coverHow do you ensure that AI and machine learning solutions align with ethical considerations and corporate governance? Provide examples of how you mitigate risks such as bias, data privacy concerns, and lack of transparency in automated decision-making.
Requirement Gathering Workshops
What to coverWhat techniques do you use to facilitate workshops with diverse stakeholders to extract both technical and functional requirements? Suggestion: Focus on how you bridge the gap between business objectives and technical constraints.
Scaling Machine Learning in Business Processes
What to coverDiscuss the challenges of moving an AI or machine learning model from a pilot phase to enterprise-scale production. Address data quality, infrastructure requirements, and the necessity for continuous monitoring and model retraining.
Developing Compelling Points of View (PoV)
What to coverWhen creating a PoV document for a client, what key components do you include to demonstrate business value? Explain how you structure the narrative to align with the client's strategic goals while maintaining technical credibility.
Leveraging Generative AI for Process Automation
What to coverCompare the use cases for traditional automation versus Generative AI in business process services. Explain how you determine which technology is most appropriate for a specific client challenge.
Behavioural practice
Communicating Value to Executives
What to coverDescribe a situation where you had to present a complex technical solution to a non-technical executive audience. How did you adapt your communication style to ensure they understood the business value and felt confident in the proposal?
Managing Stakeholder Conflict
What to coverTell me about a time when you faced conflicting requirements from different stakeholders during a solution design phase. How did you facilitate a resolution that kept the project on track while meeting the core business needs?
Proactive Learning in Rapidly Evolving Tech
What to coverGive an example of how you have stayed updated with the latest advancements in AI and machine learning. How have you applied this new knowledge to improve a solution or process in your previous roles?
Handling Ambiguity in RFP Responses
What to coverDescribe a time when you had to develop a solution based on limited or ambiguous information in an RFP. What steps did you take to validate your assumptions and mitigate risks before finalizing your proposal?
02
Sharpen your knowledge
Topics to prepare
Generative AI and Automation in Business Process Services
Review how Generative AI can be integrated into contact center workflows to improve efficiency. Exercise: Draft a conceptual framework for replacing manual data entry or customer query routing with an AI-driven automation solution, focusing on business value and ethical considerations.
Financial Cost Modelling for Technology Solutions
Understand the principles of building business cases for IT investments. Exercise: Create a mock cost-benefit analysis template that compares the operational costs of a traditional contact center against an AI-augmented model, accounting for implementation, maintenance, and projected ROI.
RFP Response Strategy and Stakeholder Management
Study the lifecycle of an RFP from initial requirement gathering to final proposal submission. Exercise: Practice summarizing complex technical requirements into a high-level 'Point of View' document that addresses specific client pain points and demonstrates strategic alignment.
Skills to revise
Advanced Excel for Financial Analysis
Master Excel functions necessary for complex financial modeling. Exercise: Build a dynamic spreadsheet model that calculates the break-even point for an AI implementation project, using variables for labor cost reduction and technology licensing fees.
Technical Requirement Gathering Workshops
Develop techniques for facilitating workshops to extract functional requirements from non-technical stakeholders. Exercise: Prepare a structured agenda for a discovery workshop aimed at identifying automation opportunities within a legacy contact center environment.
04
Your preparation checklist
Prepare a portfolio of RFP response case studies
Compile examples of your experience independently managing and responding to RFPs. Focus on how you structured the scope, due diligence, and technical approach to win business, specifically within contact center or business process service environments.
Develop a financial cost modeling demonstration
Create a sample Excel-based model that illustrates how you calculate the ROI and cost benefits of implementing AI or automation solutions. Ensure it reflects your ability to present complex financial data to executive-level stakeholders.
Draft a Point of View (POV) on Generative AI
Write a concise document outlining a hypothetical Generative AI implementation for a contact center. Include the business problem, the proposed AI/ML architecture, ethical considerations, and the expected operational efficiency gains.
Refine your stakeholder workshop methodology
Prepare a structured approach for conducting discovery workshops. Be ready to explain how you translate high-level business challenges into concrete technical and functional requirements for AI-driven solutions.
Formulate strategic questions for the interview
Prepare questions regarding the current maturity of NTT DATA's AI/ML platforms, the typical scale of their digital BPS engagements, and how the team balances rapid innovation with the company's ethical AI standards.
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