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NTT DATA is a leading technology services provider seeking a Senior Data Architect to act as a strategic technical advisor between Sales, Clients, Industry Leaders, Delivery and Global Practices, with emphasis on Enterprise Data and AI.
You will shape data go‑to‑market strategy, develop data governance and AI adoption roadmaps, and engage C‑suite conversations in South Africa to translate capabilities into client outcomes.
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 This Senior Data Architect’s role acts as the strategic technical advisor between Sales, Clients, Industry Leaders, Delivery and Global Practices, with specific focus on Enterprise Data and AI. This role offers the opportunity to shape the Data go‑to‑market strategy in a high‑growth market, backed by a global delivery network and strong partner ecosystem. As part of the role, you are responsible for helping our Sales team develop, influence and elevate executive conversations specifically around their Data and Application estate. In your role you are responsible for developing, supporting and closing opportunities in data strategy, analytics, cloud data platforms (Snowflake, Databricks, Microsoft Fabric), and related managed services, working closely with local clients, partners, and internal delivery teams. Through your experience, you help elevate client conversation towards organizational transformation, long‑term data governance strategy, AI adoption, information architecture, ontology‑driven business models and industry‑specific digital operating models. You possess broad enterprise architecture capability, and are not beholden to a single technology domain – you have a broad understanding of Microsoft, Databricks, AWS, Snowflake and other technology capabilities, and you can combine this with strong consulting skills and commercial awareness to have a conversation with business stakeholders. You enjoy engaging with the C‑suite to shape strategic roadmaps, challenge thinking and identify transformation opportunities, whilst you bring enough technical depth to build credibility with technical teams. In addition to opportunity shaping, you will help build industry‑specific propositions across Financial Services, Manufacturing, Mining and Healthcare, translating global capabilities into locally relevant client outcomes.
10+ years in enterprise architecture, consulting, solution strategy or technical pre‑sales 8+ years operating in an applications landscape (as opposed to purely an infrastructure environment) with specific focus on D&A technology solutions (MDM, Data Quality, Data Governance, Data Engineering and Data Cloud platforms) Strong understanding of enterprise applications, software engineering and modern digital platforms. Solid understanding of data platforms, analytics tools, and AI/ML solution offerings. Demonstrated experience developing enterprise data strategies, AI adoption roadmaps and information governance models. Working knowledge of ontology‑based information modelling, knowledge graphs, metadata management and semantic architectures. Strong understanding of Microsoft Data & AI, AWS Data & AI, Snowflake and other technology ecosystems. Ability to develop industry reference architectures for Financial Services, Manufacturing, Mining or Healthcare advisable. Strong commercial acumen, proposal development and executive presentation capability. Ability to interrogate delivery models, estimates and commercial risk.
The ideal candidate combines the curiosity of a technical engineer, the breadth of an Enterprise Architect and the commercial mindset of a strategic pre‑sales leader. They genuinely enjoy the process of developing a client idea from initial thought through to deliverable solution and engaging with clients to shape that journey. Depth in a single technology remains valuable, however, success in this role will come from the candidates ability to connect applications, data, AI, cloud, governance and operating models into coherent enterprise strategies.
What success looks like after 12 months: NTT DATA is increasingly invited into early‑stage executive strategy conversations. Sales teams consistently engage you to shape complex enterprise opportunities. We are having energised and active conversations in the market with many clients around enterprise AI and data strategy engagements. Industry‑specific propositions for Financial Services, Manufacturing, Mining and Healthcare are established and generating qualified pipeline. Executive relationships have been developed with client technology and business leadership across key accounts. South Africa is recognised internally for localising global Data & AI capabilities into market‑relevant offerings.
Hybrid Working
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.
Equal Opportunity Employer
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.