Director Presales Enterprise Architecture (Defence)

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We are seeking expressions of interest from experienced Senior Presales Enterprise Architects to lead strategic solution planning for the Defence sector. This role is an individual contributor role that 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 DATA capabilities and partner ecosystems.

Primary Duties

1. Account Planning

• Establish the enterprise architecture view of priority accounts including:

• Current data estate analytics platforms AI maturity data governance posture reporting landscape data quality challenges and modernization imperatives.

• Application estate COTS / SaaS footprint integration patterns cloud adoption posture DevSecOps maturity and application support model.

• Business pain points and value pools where data AI GenAI automation AIOps and application modernization can materially improve outcomes.

• Identify multi-tower plays across data platforms AI application modernization cloud integration security workplace and managed services.

• Shape portfolio motions with hyperscalers data platform vendors SaaS providers AI ecosystem partners and industry solution partners.

• Support client managers with account hypotheses opportunity themes win themes and line-of-sight bookings linked to data AI and applications value.

2. Opportunity Seeding

• Lead C-suite line-of-business and technology workshops to shape opportunities leveraging:

• Enterprise data platforms lakehouse data mesh / fabric data integration streaming master data data quality and data governance capabilities.

• AI / ML GenAI retrieval-augmented generation agentic AI responsible AI model operations and AI adoption roadmaps.

• Application modernization COTS rationalization SaaS adoption ERP / CRM / ITSM modernization API-led integration workflow platforms and cloud-native engineering.

• AIOps-driven observability predictive operations automated remediation and AI-assisted application support.

• Create KPI-linked outcome narratives for large deals including revenue growth customer experience productivity decision quality risk reduction data trust and cost optimization.

• Build compelling demonstrations reference architectures and use-case roadmaps that connect client pains and ambitions to NTT DATA offerings.

3. Opportunity Strategy & Execution

• Serve as the data AI and applications deal architect across analytics AI cloud applications integration infrastructure security workplace and managed services.

• Design integrated solutions that combine:

• Data platform architectures governance models data quality controls metadata / lineage privacy-by-design and data product operating models.

• AI architectures covering ML GenAI RAG agentic AI Responsible AI MLOps / LLMOps model monitoring and value realization.

• Modern application architectures COTS / SaaS modernization API / event-driven integration microservices DevSecOps and application managed services.

• Cloud-native architectures across AWS Azure Google Cloud SaaS and hybrid environments.

• AIOps observability automation and GenAI copilots to improve reliability reduce MTTR and accelerate operational productivity.

• Work with technical architects to ensure the solution is scalable secure commercially competitive delivery-assured and aligned to client governance and risk requirements.

• Shape TCO pricing structures value levers benefit cases consumption models and risk-reward constructs.

4. Deal / Bid Leadership

• Lead the architecture workstream for major RFPs RFIs proposals and proactive pursuits involving data AI applications cloud and operations transformation.

• Define architecture content including:

• Target-state architecture reference models migration patterns transition roadmap and implementation phasing.

• Data operating model AI governance model application support model AIOps model DevSecOps model and service governance structure.

• Integration architecture across data applications AI services workflow platforms security and operations tooling.

• Value case solution assumptions risks dependencies transition approach and differentiation narrative.

• Partner with bid finance commercial legal risk delivery and alliance teams to optimize solution quality price competitiveness and deal assurance.

• Present architecture value and transformation approach to client executives technical leadership and internal governance forums.

5. Portfolio Ideation

• Provide thought leadership to evolve NTT DATA Data/AI and Applications offerings reference architectures accelerators and packaged value propositions.

• Inform portfolio enhancements by integrating:

• Modern data architectures including lakehouse data mesh / fabric analytics engineering semantic layers and industry data models.

• AI and GenAI patterns including RAG agentic workflows AI copilots MLOps / LLMOps responsible AI and AI adoption playbooks.

• Modern application architectures including microservices API-led integration event-driven architectures cloud-native platforms DevSecOps and AIOps-enabled support.

• Process intelligence and automation capabilities for business operations and managed services.

• Benchmark competitor offerings and partner propositions to keep NTT DATA positioned on the leading edge of practical value-producing technology trends.

• Develop reusable pursuit assets architecture patterns industry narratives calculators and demonstration storylines.

6. In-Contract Innovation Strategy

• Drive innovation across installed accounts by defining roadmaps for data modernization AI use-case scaling GenAI adoption application rationalization and cloud optimization.

• Identify opportunities to reduce incidents and MTTR through AIOps improve developer productivity through AI-assisted engineering and improve business processes through agentic AI and automation.

• Define measurable innovation outcomes linked to contractual commitments service levels cost-to-serve customer experience data quality and business KPIs.

• Work with delivery and account teams to keep transformation roadmaps current across transition modernization and steady-state operations.

7. Governance & Thought Leadership

• Provide architecture assurance during complex pursuits and in-contract transformation programs.

• Represent NTT DATA at client and industry forums on data modernization AI adoption GenAI application modernization cloud-native engineering AIOps and agentic AI.

• Coach account teams and solution architects on executive storytelling value engineering architecture trade-offs and outcome-led deal shaping.

Required experience:

Workplace type:

About NTT DATA
NTT DATA is a $30 billion business and technology services leader serving 75% of the Fortune

Global 100. We are committed to accelerating client success and positively impacting society through

responsible innovation. We are one of the worlds leading AI and digital infrastructure providers with

unmatched capabilities in enterprise-scale AI cloud security connectivity data centers and

application services. Our consulting and industry solutions help organizations and society move

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than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as

established and start-up partners. NTT DATA is part of NTT Group which invests over $3 billion each

year in R&D.

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