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About the Role

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.

Responsibilities

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.
Establish the enterprise architecture view of priority accounts, including application estate, COTS / SaaS footprint, integration patterns, cloud adoption posture, DevSecOps maturity, and application support model.
Identify 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.
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.
Lead C-suite, line-of-business, and technology workshops to shape opportunities leveraging AI / ML, GenAI, retrieval-augmented generation, agentic AI, responsible AI, model operations, and AI adoption roadmaps.
Lead C-suite, line-of-business, and technology workshops to shape opportunities leveraging application modernization, COTS rationalization, SaaS adoption, ERP / CRM / ITSM modernization, API-led integration, workflow platforms, and cloud-native engineering.
Lead C-suite, line-of-business, and technology workshops to shape opportunities leveraging 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.
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.
Design integrated solutions that combine AI architectures covering ML, GenAI, RAG, agentic AI, Responsible AI, MLOps / LLMOps, model monitoring, and value realization.
Design integrated solutions that combine modern application architectures, COTS / SaaS modernization, API / event-driven integration, microservices, DevSecOps, and application managed services.
Design integrated solutions that combine cloud-native architectures across AWS, Azure, Google Cloud, SaaS, and hybrid environments.
Design integrated solutions that combine 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.
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.
Define architecture content including data operating model, AI governance model, application support model, AIOps model, DevSecOps model, and service governance structure.
Define architecture content including integration architecture across data, applications, AI services, workflow platforms, security, and operations tooling.
Define architecture content including 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.
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.
Inform portfolio enhancements by integrating AI and GenAI patterns including RAG, agentic workflows, AI copilots, MLOps / LLMOps, responsible AI, and AI adoption playbooks.
Inform portfolio enhancements by integrating modern application architectures including microservices, API-led integration, event-driven architectures, cloud-native platforms, DevSecOps, and AIOps-enabled support.
Inform portfolio enhancements by integrating 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.
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.
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.

Requirements

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.

Skills

Data/AI
Applications
Enterprise Architecture
Solution Design
Enterprise Data Platforms
Analytics
Data Governance
AI / ML
GenAI
Responsible AI
Modern Applications
COTS / Packaged Applications
SaaS Ecosystems
API-led Integration
Cloud-Native Modernization
Application Managed Services
Modern AIOps
Automation
Agentic AI
Cross-Tower Architectures
Cloud
Infrastructure
Security
Workplace
Managed Services
Lakehouse
Data Mesh / Fabric
Retrieval-Augmented Generation (RAG)
Model Operations (MLOps / LLMOps)
Microservices
Event-Driven Architectures
DevSecOps
AWS
Azure
Google Cloud
Hybrid Environments
Observability
Predictive Operations
Automated Remediation
AI-Assisted Application Support
TCO Analysis
Pricing Structures
Value Cases
Risk-Reward Constructs
RFPs / RFIs
Proposals
Target-State Architecture
Reference Models
Migration Patterns
Transition Roadmaps
Implementation Phasing
Data Operating Models
AI Governance Models
Application Support Models
AIOps Models
Service Governance
Integration Architecture
Value Proposition Development
Business Cases
Solution Blueprints
Transition Approaches
Transformation Approaches
Runbooks
Delivery Assurance Plans
Innovation Roadmaps
Executive Storytelling
Value Engineering
Outcome-Led Deal Shaping

Location

Sydney
Melbourne
Brisbane

Work Type

Hybrid

Experience Level

Senior
15+ years of experience
5+ years in presales

Education Level

Bachelor's degree in engineering, computer science, data science, information systems, or equivalent
Master's in business, technology, analytics, or executive management preferred

About the Company

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 world’s 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 confidently and sustainably into the digital future.
As a Global Top Employer, we have experts in more 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.
Join our growing global team and accelerate your career with us.
We've combined the capabilities of 28 remarkable companies to become one, leading technology services provider.
Together, we help our people, clients, and communities do great things with technology to create a more secure and connected future.
We employ 40,000 people across 57 countries.
By bringing together the world’s best technology companies and emerging innovators, we work together to deliver sustainable outcomes to businesses and the world.
Innovation is part of our DNA.
We believe it’s key to what makes us different.
So, we strive to move forward, challenge the status quo, and drive excellence through the technologies we integrate and the services we deliver around the world.
The result is connected cities, connected factories, connected healthcare, connected agriculture, connected conservation, connected mobility, and connected sport.
Together we enable the connected future.
You’ll be joining a global employer that is committed to attracting, growing and keeping the best talent.
A place where you will be at the heart of our success!

Equal Opportunity

NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity.
We are committed to providing an environment free of unfair discrimination and harassment.
We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category.
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason.
Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you.
All email communications from an NTT DATA recruiter will come from an @nttdata.com email address.
If you suspect any fraudulent activity, please contact us.