Director of Enterprise Architecture: Data & Insights Transformation at NTT Data
Sydney NSW 2000, New South Wales, Australia -
Full Time


Start Date

Immediate

Expiry Date

22 Jun, 25

Salary

0.0

Posted On

22 Mar, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Developers, Data Quality, Big Data, Data Models, Training, Preparation, Data Analytics, Data Science, Capex, Adherence, Opex, Fsi, Account Planning, Computer Science, Dashboards, Business Applications, Differentiation, Analytics, It, Analytical Skills, Emerging Technologies

Industry

Information Technology/IT

Description

MAKE AN IMPACT WITH NTT DATA

Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

YOUR DAY AT NTT DATA

NTT DATA is looking for a Director of Enterprise Architecture: Data & Insights Transformation.
This role is a pivotal resource for NTT Data whose focus will be to engage clients across our targeted verticals to help them address their pains and realize their ambitions in the realm of analytics & insights. The EA will support our Clients in defining the overall data strategy, including data governance policies, standards, and quality controls, to ensure data reliability for analytics and designing and managing our Clients’ overall data architecture, aligning it with the business strategy by defining data models, standards, and integration strategies to ensure seamless access and utilization of data for analytics purposes across the enterprise.

EXPERIENCE

  • Expertise (or appreciation) of industry value chain, client pains & ambitions, and industry best business and IT practices relevant for their client, related to insights and analytics.
  • Strong analytical skills with the ability to identify patterns and trends in client data, designing and implementing data models.
  • Strong background in traditional frameworks and tools for data analytics, and good understanding of emerging technologies in machine/deep learning, GenAI and IoT.
  • Knowledge of data collection strategies, preparation for ensuring data quality and adherence to data governance standards.
  • Monitor and evaluate model performance, making necessary adjustments to ensure accuracy and effectiveness.
  • Ability to translate complex data findings into clear, concise, and actionable insights for both technical and non-technical audiences.
  • Strong experience in creating compelling presentations, reports, and dashboards to effectively communicate insights and recommendations to clients.
  • Work collaboratively with internal teams (e.g., data engineers, developers) to ensure successful project execution.
  • Deep understanding of commercial concepts to be able to work towards a target cost and price in solutions, and the right model – CapEx, OpEx, PAYG.
  • Ability to create world class proposals for the client, with solutions that address the client’s needs and wants, and ability to present the value, differentiation and a compelling case.
  • Experience with data models and master data in business applications in targeted verticals.
  • Experience in identifying patterns and trends and designing and implementing data models.
  • Experience in frameworks, libraries, tools for data analytics, big data and emerging technologies.
  • Worked across the sales lifecycle from inception to conclusion.
  • account planning
  • business development
  • opportunity planning
  • opportunity execution

EDUCATION AND TRAINING

  • Bachelor’s degree in engineering, computer science or any technology discipline.
  • Prefer a master’s in business management or executive management programs in business.
  • Total experience of 15+ years, and 5+ years specializing in systems of insights in Machine/Deep Learning, Artificial Intelligence/GenAI, Bigdata, Data Science, Cloud Analytics
  • Experience in data modelling in targeted verticals – FSI, manufacturing/auto, retail, healthcare.
    Workplace type:
Responsibilities

PRIMARY DUTIES

  • Support the Client Managers in five areas – Account Planning, Opportunity Seeding, Opportunity Strategy & Execution, Portfolio Ideation, and In-Contract Innovation Strategy.
  • Account Planning in this important sales activity the EA may support the CM by doing the groundwork to understand the client’s current enterprise-wide landscape, their pains and ambitions, and identify the NTT Data Inc solutions that can be of potential value to the clients.
  • Opportunity Seeding is the logical next step where the EA may support the CM in client presentations and workshops to create client awareness and interest in our portfolio offers identified in the account plan, which results in qualified opportunities.
  • Opportunity Strategy & Execution requires the EA to play a key role in crafting a multi-domain solution with solution and technical architects from many NTT Data Inc service divisions. The EA optimizes the value and costing to balance the outcomes desired by the client, which is the key for winning deals.
  • Portfolio Ideation – EA are best positioned to share the needs and wants of clients with the service divisions to trigger portfolio enhancements, and related value propositions of our offerings, which are powered by leading edge technologies of the time. Must also know the competition capabilities, to benchmark our services, and stay on the leading edge.
  • In-Contract Innovation Strategy is important for curating large client installed bases by demonstrating NTT Data Inc ability to bring innovation into ongoing delivery. The EA assigned to the client plays a key role in defining the innovation strategy.
  • It is important to track the above leading activities, as well as the lagging indicator of bookings growth which is attributable to the efforts and outcomes from the leading above activities. The Director of Enterprise Architecture: Data & Insights Transformation will be responsible for line-of-sight bookings KPI.
  • Conduct workshops with client’s C-suite and line of business executives, to understand their vexing issues, and investigate approaches for mitigating them.
  • Convert client’s business and technology needs and wants into high level architecture; orchestrate specialized domain architects to optimize the total solution for value and cost.
  • Be a disciple of the NTT Data Inc portfolio and know how to position its value and differentiators; and work with service divisions on keeping the portfolio competitive.
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