DIRECTOR – Enterprise Architect (Cross Tower Platforms, Applications)

This senior presales enterprise architecture role is central to NTT DATAs integrated full-stack go-to-market strategy. The purpose of the role is to design position and win multi-tower transformation and managed services deals by bringing together:

• Deep solution design expertise across COTS / packaged applications
• Strong architectural skills in application-centric cloud and SaaS ecosystems
• Modern AIOps and Agentic AI capabilities that enhance reliability automation and business process efficiency and
• Cross-tower architectures spanning applications data infrastructure security workplace and BPO.

The Presales EA acts as the trusted architecture leader for strategic pursuits translating client business needs into executable architectures that leverage NTT DATAs capabilities and partner ecosystem. The role integrates next-generation technologies such as Presto DICE GenAI copilots and AIOps platforms to maximize solution quality competitiveness delivery assurance and value realization.

DETAILED ROLES & RESPONSIBILITIES

1. Account Planning

• Establish the enterprise architecture view of priority accounts including:
  • Application estate COTS footprint SaaS landscape and modernization imperatives.
  • Cloud adoption posture (IaaS PaaS SaaS) integration patterns and operational maturity.
  • Pain points where AIOps automation and agentic AI can materially improve outcomes.
• Identify multi-tower plays platform modernization opportunities and anchor points for managed services and BPO augmentation.
• Shape cloud/application portfolio motions with hyperscalers and SaaS providers.

2. Opportunity Seeding

• Lead workshops and C-suite conversations to shape modern architectures leveraging:
  • COTS modernization and rationalization paths.
  • App-centric cloud migration and modernization.
  • AIOps-driven observability predictive operations and automated remediation.
  • Agentic AI for application operations workflow intelligence and BPO augmentation.
• Create value hypotheses and KPI-linked outcome narratives for large deals.

3. Opportunity Strategy & Execution

• Serve as the cross-tower deal architect across applications cloud infra security digital workplace and managed services.
• Design integrated solutions that combine:
  • Multi-COTS solution stacks and application modernization strategies.
  • Cloud-native architectures and SaaS ecosystems (ERP CRM ITSM vertical packaged apps).
  • AIOps capabilities (event-log-metric correlation anomaly detection automated runbooks).
  • Agentic AI components (process mining intelligent routing AI copilots for ops and BPO).
• Work with technical architects to ensure the solution is scalable secure commercially competitive and aligned to client governance and risk.
• Shape TCO pricing structures value levers and risk-reward constructs.

4. Deal / Bid Leadership

• Lead the architecture workstream for major RFP/RFIs involving applications COTS cloud and operations transformation.
• Define:
  • Target state architecture reference models and transition roadmaps.
  • Operating model application support model AIOps model and governance structure.
  • Agentic AI integration layers for operations and business processes.
• Partner with bid finance and legal teams on commercial optimization.

5. Portfolio Ideation

• Provide thought leadership to evolve cross-tower offerings by integrating:
  • Modern application architectures (microservices API-led cloud-native).
  • Next-gen operations (AIOps platforms GenAI copilots automation layers).
  • Process intelligence tools for BPO ( process-mining task-mining).
• Benchmark competitive offerings and inform development of reusable assets accelerators and reference architectures.

6. In-Contract Innovation Strategy

• Drive innovation in large installed bases through:
  • AIOps-based reduction of incidents and MTTR.
  • Agentic AI for workflow automation change-risk prediction and knowledge augmentation.
  • Continuous application modernization and cloud optimization.
  • Enhancements for BPO delivery using process intelligence GenAI summarization and copilots.
• Define roadmaps linked to contractual value commitments and measurable business outcomes.

7. Governance & Thought Leadership

• Provide architecture assurance during complex pursuits.
• Represent NTT DATA at client and industry forums on application modernization cloud AIOps and agentic AI.

KEY DELIVERABLES

• Enterprise application COTS and SaaS landscape assessments.
• Target-state cross-tower architectures covering application cloud integration AIOps and AI layers.
• Value propositions and business cases quantifying improvements in cost quality experience and operational outcomes.
• Solution blueprints transition & transformation approaches operating models and runbooks.
• Innovation roadmaps for AIOps and agentic AI adoption.
• Bid content for major pursuits (architecture value approach risks differentiation).

KNOWLEDGE & SKILLS

Core Technical Skills

• Strong architecture expertise across multiple COTS applications including ERP CRM industry solutions and workflow platforms.
• Deep understanding of application-centric cloud architectures SaaS ecosystems and integration patterns (API ESB event-driven).
• Hands-on knowledge of:
  • AIOps platforms (event/log/metric correlation anomaly detection root-cause analytics).
  • Observability stacks and telemetry pipelines.
  • Agentic AI tools for apps and BPO such as Presto DICE and GenAI copilots.
• Ability to design target operating models blending AI-assisted application support predictive operations and automation-led delivery.

Enterprise Architecture Discipline

• Strong grounding in TOGAF/Zachman modeling tools and multi-layer architecture design (business app data tech).
• Ability to translate business goals into practical architecture and transformation roadmaps.

Commercial & Storytelling Skills

• Proficiency in shaping managed services modernization deals consumption-based models and value-based pricing.
• Ability to articulate differentiated value through AIOps cloud modernization and advanced automation.
• Strong executive communication and influence.

QUALIFICATIONS & EXPERIENCE

• Bachelors degree in engineering computer science or equivalent; masters preferred.
• 15 years experience in applications architecture COTS/SaaS solutioning cloud-native architecture and/or operations automation.
• 5 years in presales or deal architecture roles designing large multi-tower solutions.
• Proven experience integrating AIOps and AI-enabled automation into enterprise programs.
• Exposure to APAC multi-country clients and global delivery models.
• Certifications in cloud (AWS/Azure/GCP) enterprise architecture and relevant SaaS/COTS platforms are advantageous.