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Senior Consultant - Data, AI & Technology Strategy(m/w/x)
Developing data, AI, and technology strategies for telecoms and space clients. 3-6 years of consulting experience in technology strategy or data/AI required. Bonus program and international career prospects.
Requirements
- Strong analytical mindset, team player, hands-on approach, striving for collective success
- 3-6 years experience in technology strategy, data/AI consulting, digital transformation, or transaction advisory
- Proven consulting experience (strategy firm, tech consulting, Big 4, advisory boutique) or combination of top-tier consulting and technical in-house role
- Strong understanding of modern data platforms and architectures (data lakes, data warehouses, cloud ecosystems)
- Solid conceptual knowledge of AI and machine learning, assessing use cases and supporting implementation
- Experience designing business cases, operating models, and transformation roadmaps for data, AI, or technology initiatives
- Familiarity with data governance, privacy, security, and regulatory requirements (ideally GDPR, Financial Services)
- Good understanding of IT Due Diligence, value creation planning, and technology's role in investment decisions
- Excellent communication and presentation skills in English, tailoring messages to technical and non-technical stakeholders
- Combines strategic thinking with pragmatic execution, focusing on measurable business value
- Ability to simplify complex technology topics and explain business impact, cost, timeline, and risk
- Strong problem-solver, ability to structure ambiguous situations, adapt quickly to client needs
- Collaborative, confident in stakeholder interactions, comfortable in cross-functional and international teams
- Understanding of transformation sequencing: governance, reporting, process improvement before scaling AI
Tasks
- Develop data, AI, and technology strategies
- Align strategies with business objectives
- Assess current technology landscapes
- Identify modernization opportunities
- Conduct IT and technology deep-dives
- Evaluate technical debt
- Assess scalability risks
- Identify cybersecurity concerns
- Analyze architecture limitations
- Support post-deal value creation
- Handle carve-outs
- Manage post-merger integration
- Evaluate client data maturity
- Identify high-value AI and data use cases
- Prioritize AI and data use cases
- Shape AI and data use cases
- Build target operating models
- Create implementation roadmaps
- Translate technical concepts into business cases
- Develop 100-day plans
- Formulate long-term strategic initiatives
- Quantify business impact of technology investments
- Calculate cost of technology investments
- Assess risk of technology investments
- Evaluate scalability of technology investments
- Measure value realization potential
- Collaborate with cross-functional teams
- Work with international teams
- Facilitate discussions between technical experts
- Engage financially focused stakeholders
Work Experience
- 3 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- Azure
- GCP
Benefits
Bonuses & Incentives
- Bonus programme
Learning & Development
- Personalised training
Career Advancement
- Career development opportunities
- International career prospects
Mentorship & Coaching
- Individual support
Team Events
- Team events
Modern Office
- Modern office
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Senior Consultant - Data, AI & Technology Strategy(m/w/x)
Developing data, AI, and technology strategies for telecoms and space clients. 3-6 years of consulting experience in technology strategy or data/AI required. Bonus program and international career prospects.
Requirements
- Strong analytical mindset, team player, hands-on approach, striving for collective success
- 3-6 years experience in technology strategy, data/AI consulting, digital transformation, or transaction advisory
- Proven consulting experience (strategy firm, tech consulting, Big 4, advisory boutique) or combination of top-tier consulting and technical in-house role
- Strong understanding of modern data platforms and architectures (data lakes, data warehouses, cloud ecosystems)
- Solid conceptual knowledge of AI and machine learning, assessing use cases and supporting implementation
- Experience designing business cases, operating models, and transformation roadmaps for data, AI, or technology initiatives
- Familiarity with data governance, privacy, security, and regulatory requirements (ideally GDPR, Financial Services)
- Good understanding of IT Due Diligence, value creation planning, and technology's role in investment decisions
- Excellent communication and presentation skills in English, tailoring messages to technical and non-technical stakeholders
- Combines strategic thinking with pragmatic execution, focusing on measurable business value
- Ability to simplify complex technology topics and explain business impact, cost, timeline, and risk
- Strong problem-solver, ability to structure ambiguous situations, adapt quickly to client needs
- Collaborative, confident in stakeholder interactions, comfortable in cross-functional and international teams
- Understanding of transformation sequencing: governance, reporting, process improvement before scaling AI
Tasks
- Develop data, AI, and technology strategies
- Align strategies with business objectives
- Assess current technology landscapes
- Identify modernization opportunities
- Conduct IT and technology deep-dives
- Evaluate technical debt
- Assess scalability risks
- Identify cybersecurity concerns
- Analyze architecture limitations
- Support post-deal value creation
- Handle carve-outs
- Manage post-merger integration
- Evaluate client data maturity
- Identify high-value AI and data use cases
- Prioritize AI and data use cases
- Shape AI and data use cases
- Build target operating models
- Create implementation roadmaps
- Translate technical concepts into business cases
- Develop 100-day plans
- Formulate long-term strategic initiatives
- Quantify business impact of technology investments
- Calculate cost of technology investments
- Assess risk of technology investments
- Evaluate scalability of technology investments
- Measure value realization potential
- Collaborate with cross-functional teams
- Work with international teams
- Facilitate discussions between technical experts
- Engage financially focused stakeholders
Work Experience
- 3 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- Azure
- GCP
Benefits
Bonuses & Incentives
- Bonus programme
Learning & Development
- Personalised training
Career Advancement
- Career development opportunities
- International career prospects
Mentorship & Coaching
- Individual support
Team Events
- Team events
Modern Office
- Modern office
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Analysys Mason
Industry
Consulting
Description
Die Analysys Mason GmbH konzentriert sich als Managementberatung europaweit auf die Ausgestaltung und Umsetzung von bedeutsamen Großprojekten in der Telekommunikations- und Energiebranche.
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