Director - Presales Enterprise Architect (Data/AI and Applications)

We are seeking expressions of interest from experienced Presales Enterprise Architect (Data/AI and Applications). This senior presale enterprise architecture role is central to NTT DATA Australia's integrated, full-stack go-to-market strategy. The purpose of the role is to design, position, and win data, AI, applications, modernization, and managed services deals by bringing together

• Deep solution design expertise across enterprise data platforms, analytics, data governance, AI / ML, GenAI, and responsible AI operating models.
• Strong architectural skills across modern applications, COTS / packaged applications, SaaS ecosystems, API-led integration, cloud-native modernization, and application managed services.
• Modern AIOps, automation, agentic AI, and GenAI capabilities that enhance reliability, productivity, business-process efficiency, and decision support.
• Cross-tower architectures spanning applications, data, cloud, infrastructure, security, workplace, and managed services.

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. Depending on candidate strengths and client demand, the role may emphasize Data/AI, Applications, or an integrated Data/AI plus Applications transformation agenda.

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.

Key Deliverables

• Enterprise data, AI, application, COTS, SaaS, integration, and cloud landscape assessments.
• Target-state architectures covering data platforms, AI / ML, GenAI, applications, integration, cloud, security, AIOps, and operations layers.
• Data / AI maturity assessments, application portfolio assessments, modernization roadmaps, migration approaches, and operating model recommendations.
• Value propositions and business cases quantifying improvements in revenue, cost, quality, risk, customer experience, employee productivity, and operational outcomes.
• Solution blueprints, transition and transformation approaches, data governance and AI governance models, application support models, runbooks, and delivery assurance plans.
• Innovation roadmaps for data modernization, AI / GenAI adoption, application modernization, AIOps, and agentic AI-enabled business operations.
• Bid content for major pursuits including architecture, value, approach, risks, assumptions, differentiation, executive presentations, and technical annexes.

Qualifications and Experiences

• Bachelor's degree in engineering, computer science, data science, information systems, or equivalent; master's in business, technology, analytics, or executive management preferred.
• 15+ years of experience in enterprise architecture, data architecture, AI / analytics architecture, applications architecture, solution architecture, consulting, systems integration, or managed services.
• 5+ years in presales, deal architecture, bid leadership, or client-facing advisory roles designing large multi-domain / multi-tower solutions.
• Proven experience in data modernization, cloud analytics, AI / ML, GenAI, application modernization, COTS / SaaS solutioning, integration, and operations transformation.
• Experience across the sales lifecycle from account planning and business development through opportunity strategy, proposal execution, negotiation, and transition.
• Exposure to ANZ enterprise clients, regulated industries, APAC multi-country clients, and global delivery models is advantageous.
• Experience orchestrating technical architects and delivery teams to optimize solution value, cost, risk, and commercial competitiveness.
• Certifications in cloud, enterprise architecture, data platforms, AI / ML, relevant SaaS / COTS platforms, agile / DevSecOps, or IT service management are advantageous.

Please be informed this is a hybrid role, and we are open to candidates based in Sydney, Melbourne and Brisbane.