Data Strategy Consultant (f/m/x)

TÜV SÜD; München; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

TÜV SÜD is seeking a Data Strategy Consultant in Munich to partner with business units in identifying and executing high-impact data initiatives. The ideal candidate will have a strong strategic mindset, experience in Data Strategy consulting, and the ability to translate data insights into actionable business recommendations.

Qualifikationen

• Minimum 7 years of experience in Data Strategy or Data Consulting.
• Strong familiarity with data products and use case design.
• Ability to bridge communication between technical experts and business leaders.

Aufgaben

• Identify high-impact data use cases and support execution against KPIs.
• Facilitate alignment between business units and data teams.
• Perform data strategy assessments and prioritize data initiatives.

Kenntnisse

Strategic thinking

Business acumen

Communication

Ausbildung

Bachelor's degree in Data Science, Business Analytics, Computer Science, or related disciplines

Jobbeschreibung

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Data Strategy Consultant (f/m/x), Munich

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EU work permit required:

Yes

Job Reference:

7624aa2b25ba

Job Views:

3

Posted:

05.07.2025

Expiry Date:

19.08.2025

Job Description:

Partner with business units to identify high-impact data use cases and support their execution against specific KPIs.

Translate business challenges into actionable data use cases, aligning use cases with our Digital Strategy.

Facilitate cross-functional alignment between business units, data teams, and digital stakeholders to drive our business cases.

Perform data strategy assessments and balance the business value with their feasibility, helping define KPIs and success metrics for data initiatives.

Assess the viability of the business cases and support business functions in prioritizing data initiatives, drafting data roadmaps, and executing them.

Minimum 7 years of experience in a similar role in Data Strategy, Data Consulting, etc.

Holds a bachelor degree in Data Science, Business Analytics, Computer Science, Information Systems, or related disciplines.

Strong business acumen, strategic thinking, and familiarity with data products, use case design, and value realization.

Requires ability to bridge communication between technical experts and business leaders, acting as a translator of data value.