NTT DATA Deutschland SE: AI Go-to-Market Automotive Lead (w/m/x)

The AI Go-to-Market Automotive Lead is a growth leader responsible for driving cutting-edge AI market development and revenue expansion across the global Automotive industry portfolio – all regions, all accounts – aligned to enterprise AI strategy. This role combines executive engagement, opportunity shaping, and strategic positioning of next‑generation AI solutions, while serving as a visible voice on AI innovation and transformation for clients and internal stakeholders.

Key Responsibilities:

• Own and execute the AI go-to-market strategy for the Global Automotive Vertical, including mega accounts such as BMW, Volkswagen Group, Mercedes-Benz Group / Daimler Truck, and Toyota.
• Build and maintain C-level and senior executive relationships.
• Identify, qualify, and shape AI transformation opportunities aligned to industry and account priorities – from lighthouse engagements to AI-native transformation programs.
• Translate industry challenges into compelling AI business cases and value propositions.
• Partner with Client Partners, Sales, and Industry Leaders to originate and close AI engagements.
• Lead executive-level presales efforts and proposal positioning.
• Lead the Global Automotive AI GTM core team across presales and solution consulting, offering incubation, content development, and marketing and analyst relations.
• Incubate new offerings and commercial models (e.g., agentic AI, Service-as-Software, co-innovation) and leverage technology partnerships (OpenAI, hyperscalers, ERP solution providers) as channels to market.
• Serve as a visible AI thought leader toward clients, analysts, and media through conferences, analyst briefings, and executive engagements.
• Drive AI pipeline growth and revenue performance.
• Ensure responsible AI principles (security, governance, transparency, human oversight) are embedded in opportunity framing.
• Operate effectively within a matrixed leadership structure.

Basic Qualifications:

• 12 or more years of professional experience in consulting, professional services, and/or industry roles, including experience in a client-facing consulting or professional services environment, with progressive leadership responsibility (e.g., people leadership, program leadership, or account leadership).
• At least 5 years of experience leading or co leading AI, data, advanced analytics, or digital transformation initiatives, including a minimum of 2 years of experience working with Generative AI solutions (e.g., large language models, AI agents, or GenAI enabled applications).
• At least 5 years of professional experience within at least one industry vertical (Insurance, Banking, Manufacturing & Commercial, Automotive, Healthcare & Life Sciences, or Public Sector), demonstrated through client delivery, account ownership, or solution leadership.
• At least 2 years of experience supporting or leading presales activities, such as opportunity identification, solution shaping, proposal development, or executive level deal reviews, in partnership with sales or delivery teams.
• Fluency in German and English, with experience leading cross-cultural teams across the DACH region and broader Europe.

Preferred Skills:

• Experience developing and executing GTM strategies.
• Deep understanding of GenAI technologies, agentic AI architectures, ML, and NLP.
• Familiarity with cloud platforms (Azure, AWS, GCP).
• Senior-level experience leading AI, data, or digital transformation initiatives within the Automotive industry on a global scale.
• Proven track record of commercializing advanced technology solutions and driving growth.
• Strong executive presence with the ability to influence C-suite stakeholders.
• Experience establishing AI governance and responsible AI frameworks at enterprise clients.
• Experience leading globally distributed, cross-cultural teams across EU, Americas, and APAC.

Benefits:

• Flexible working hours with a flexitime arrangement; business travel time is considered working time
• 30 days of annual leave, plus December 24 and December 31 as additional non-working days
• The option to take a sabbatical of up to one year
• Remote work and mobile working from other EU countries
• Attractive benefits and compensation optimisation programmes, including an occupational pension scheme, JobRad bike leasing, a public transport pass, exclusive discounts through Corporate Benefits, and much more
• Comprehensive health and preventive care benefits, including extended continued remuneration in the event of illness, occupational health services, worldwide accident insurance covering both work-related and leisure-time accidents, and family support services
• A wide range of internal and external development opportunities through the NTT DATA Academy, including specialist training, certification programmes, soft-skills training, and access to Udemy
• Varied corporate volunteering opportunities, as well as diverse communities and initiatives focusing on Diversity, Equity & …