1 day ago
Erfurt, Germany +12 moreStaff+
Responsibilities
- Own outcomes for complex and strategic customer engagements and translate business and technology goals into measurable outcomes and clear decisions.
- Lead discovery, assessment, solution shaping, opportunity prioritization, prototyping, and experimentation for enterprise initiatives.
- Set technology direction across AI, generative AI, data, cloud, and enterprise architecture while evaluating security, responsible AI, scalability, operational readiness, cost, and business value.
- Orchestrate multidisciplinary teams across engineering, architecture, product, transformation, delivery, operations, and forward-deployed engineering.
- Act as a trusted advisor and functional leader, maintain quality standards, mentor and coach other FDEs, and turn customer-project experience into reusable methods, assets, and best practices.
Requirements
- Typically 10+ years of relevant experience in AI or software engineering, solution architecture, consulting, customer engineering, product, technology delivery, or comparable fields.
- Deep expertise in enterprise architecture, AI engineering, data, integration, and cloud, with broad understanding of generative AI, agentic systems, RAG, automation, security, responsible AI, and production AI solutions.
- Demonstrated experience leading complex enterprise engagements and connecting technical, commercial, and organizational decisions to business value, risk, cost, time-to-value, adoption, and scalability.
- Executive communication and leadership skills, including the ability to build senior-stakeholder relationships and lead multidisciplinary teams without formal authority.
- Experience in mentoring, coaching, or functional quality assurance, along with strategic and commercial judgment and the ability to operate amid ambiguity.
- Bachelor’s degree in computer science, IT, engineering, data science, business technology, or a related field, or an equivalent combination of education and extensive relevant professional experience.
- Business-fluent German skills at least C1 and very good English skills.
Benefits
- Flexible working hours with flex-time arrangements, with travel time counted as working time.
- Home-office option, possible compensation supplement and workplace equipment, and remote or mobile work from other EU countries.
- 30 days of vacation plus December 24 and 31 as non-working days; sabbaticals of up to one year are possible.
- Company pension, JobRad, Jobticket, corporate discounts, health and prevention programs, accident insurance, and family services.
- Internal and external training through NTT DATA Academy, certification programs, soft-skill training, and Udemy access.
- Access to communities and initiatives focused on diversity, equity and inclusion, ESG, knowledge sharing, and a collaborative culture with substantial autonomy.
Categories
Forward Deployed
About NTT DATA
NTT DATA is a Tokyo‑headquartered, publicly traded IT services firm within the NTT Group. It provides consulting, application development, system integration, cloud and enterprise application services, and managed/outsourcing services for large enterprises and public-sector organizations. The company operates in more than 50 countries and is listed on the Tokyo Stock Exchange.