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About the Role
As a leader within NTT DATA, you will guide the Data & Analytics sub-practice, driving its strategic, organizational, and economic advancement. You will ensure seamless collaboration across sales, presales, solutioning, and delivery teams, maintaining high standards of excellence.
Responsibilities
- Lead the Data & Analytics sub-practice within the Service Line Applications, Business Process and Data.
- Oversee the strategic, organizational, and economic development of the sub-practice.
- Manage integrated collaboration between Sales, Presales, Solutioning, and Delivery across onshore, nearshore, and offshore locations.
- Ensure high Delivery Excellence.
- Drive the expansion of existing business and acquisition of new clients.
- Actively support the achievement of the Practice's growth targets.
- Develop robust growth strategies and successfully position the Data & Analytics portfolio in the market.
- Continuously develop and refine the service portfolio for the Data & Analytics team.
- Promote modern technologies, particularly Databricks and Snowflake, and associated delivery models.
- Services span the entire data value chain, from strategy and consulting to implementation and operation.
- Support the development of innovative customer solutions.
- Ensure successful scaling of reusable assets, accelerators, and best practices.
- Manage the economic aspects of the organizational unit, including revenue, profitability, utilization, forecasting, and investment/budget planning.
- Provide disciplinary leadership to managers and employees.
- Foster a performance-oriented, collaborative, and appreciative corporate culture.
- Systematically develop talent, support career paths, and ensure sustainable competence building within the organization.
- Oversee recruiting, workforce planning, and continuous expansion of the Data & Analytics organization.
- Support the governance of strategically important customer projects and programs.
- Actively participate in capacity and resource planning.
- Promote collaboration with international delivery centers, shoring locations, and other NTT DATA companies.
- Establish efficient global delivery models.
- Represent the Data & Analytics Practice internally and externally through industry events, customer presentations, white papers, lectures, communities, and thought leadership initiatives.
- Maintain strong relationships with clients, technology partners, and internal stakeholders at the management level.
- Act as an escalation and communication point for business-critical issues.
- Drive the adoption of new technologies and innovations, especially in AI, cloud platforms, and software engineering excellence.
Requirements
- Successfully completed studies in natural sciences, (business) informatics, industrial engineering, or a comparable qualification.
- Extensive experience in Data, Analytics, and AI.
- Sound knowledge of modern software development and delivery models.
- Up-to-date knowledge of technology trends in Cloud, Integration, Low-Code, MS Dynamics, Adobe, and Contact Center solutions.
- Several years of experience managing complex customer programs, transformation projects, or delivery organizations.
- Proven success in building and expanding customer relationships and business development.
- Several years of leadership experience, ideally managing managers and cross-location teams.
- Strong entrepreneurial thinking and a deep understanding of business contexts.
- Experience in managing P&L, budget, and forecast processes.
- Proficiency in handling operational management challenges, escalations, and complex stakeholder situations.
- Excellent communication, presentation, and moderation skills at management and executive levels.
- High degree of initiative, implementation strength, and strategic thinking.
- Experience collaborating with nearshore and offshore organizations and global delivery models.
- Very good written and spoken German and English skills.
Skills
- Data
- Analytics
- AI
- Cloud
- Integration
- Low-Code
- MS Dynamics
- Adobe
- Contact Center Solutions
- Databricks
- Snowflake
- Communication
- Presentation
- Moderation
- Strategic Thinking
- Entrepreneurial Thinking
- Business Acumen
Location
- Germany
- Austria
- Switzerland
Work Type
- Remote Work
- Mobile Work within the EU
Experience Level
- Senior Leadership
- Extensive experience in Data, Analytics, and AI
- Several years of experience managing complex customer programs
- Several years of leadership experience
Education Level
- Degree in Natural Sciences, (Business) Informatics, Industrial Engineering, or comparable qualification
Benefits
- Flexible working hours with a flexitime arrangement and travel time counted as working time
- 30 days of vacation, plus December 24th and 31st as non-working days
- Sabbatical up to one year possible
- Remote work and mobile work within the EU possible
- Attractive benefit and remuneration optimization programs: company pension scheme, JobRad, Jobticket, exclusive discounts via Corporate Benefits, and more
- Comprehensive health and prevention offers: extended sick pay, company medical care, accident insurance (including for leisure accidents worldwide), family service
- Internal and external training opportunities in the NTT DATA Academy with technical training, certification offers, soft skills training, Udemy access
- Diverse corporate volunteering opportunities, various communities and initiatives (on Diversity, Equity & Inclusion, Sustainability, and more) with knowledge sharing at eye level
- Team-oriented corporate culture with significant scope for action
About the Company
- Part of NTT DATA, a leading provider of enterprise and technology services, AI, and digital infrastructure with over $30 billion in revenue.
- Global Top Employer.
- NTT DATA serves 75% of Fortune Global 100 companies.
- Develops innovative solutions with experts in over 70 countries.
- Presence in 15 locations across Germany, Austria, and Switzerland in the DACH region.
Equal Opportunity
- Diversity is an indispensable part of our success and corporate culture.
- We welcome you regardless of gender, sexual orientation, age, ethnic and social origin, religion, or disability.
- People with severe disabilities are preferred in case of equal suitability.