
51 - 200 Mitarbeiter
🤖 Künstliche Intelligenz
Artificial Intelligence • Analytics • Consulting
Aimpoint Digital ist ein marktführendes Beratungs- und Lösungstechnikunternehmen für Analytik, Datenengineering, Operations Research und Künstliche Intelligenz. Es befähigt Organisationen, durch strategische Beratung, die Entwicklung modernster KI-Lösungen und die Implementierung fortschrittlicher Analytik-Anwendungen, Werte aus Daten zu erschließen. Aimpoint Digital arbeitet mit verschiedenen Unternehmen zusammen, um deren Betriebsabläufe zu verbessern, datenbasierte Entscheidungen zu fördern und den ROI durch personalisierte Datenstrategien und Optimierungslösungen zu maximieren.
🕒 vor 1 Monat
🗣️🇺🇸🇬🇧 Englisch erforderlich
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51 - 200 Mitarbeiter
🤖 Künstliche Intelligenz
Artificial Intelligence • Analytics • Consulting
Aimpoint Digital ist ein marktführendes Beratungs- und Lösungstechnikunternehmen für Analytik, Datenengineering, Operations Research und Künstliche Intelligenz. Es befähigt Organisationen, durch strategische Beratung, die Entwicklung modernster KI-Lösungen und die Implementierung fortschrittlicher Analytik-Anwendungen, Werte aus Daten zu erschließen. Aimpoint Digital arbeitet mit verschiedenen Unternehmen zusammen, um deren Betriebsabläufe zu verbessern, datenbasierte Entscheidungen zu fördern und den ROI durch personalisierte Datenstrategien und Optimierungslösungen zu maximieren.
• Lead large, complex Analytics and AI strategy engagements for key clients, including multi-workstream initiatives spanning enterprise strategy, operating model design, governance, roadmap development, and value realization • Serve as a senior trusted advisor to executive stakeholders on enterprise Analytics and AI priorities, investments, transformation approaches, governance, and organizational adoption to grow strategic accounts • Guide clients through structured assessments of current-state analytics and AI maturity across people, process, technology, governance, and readiness for scale • Lead executive workshops, briefings, and stakeholder alignment sessions that drive decision-making, clarity, and buy-in across complex client organizations • Oversee the development of strategy deliverables, including roadmaps, operating models, governance structures, business cases, use-case prioritization frameworks, and transformation plans • Partner with decision science, engineering, and platform teams to ensure strategy recommendations are aligned to enterprise realities, delivery constraints, and long-term client objectives • Lead business development initiatives including proposals, solution shaping, strategic client pursuits, offering development, and go-to-market efforts that support practice growth • Coach and develop consultants, engagement managers, and other team members by providing leadership, feedback, and example in client service, strategic thinking, and executive communication • Develop new solutions/offerings, market-facing points of view, and intellectual property related to Data Strategy, AI Strategy, and enterprise transformation.
• Bachelor’s or Master’s degree in Business or quantitative field preferred • 7+ years of experience in analytics, data, digital, or AI strategy roles, ideally in a client-facing consulting environment • 5+ years of experience in leadership roles, including leading teams, major workstreams, complex client engagements, or practice-level initiatives • Strong written and verbal communication skills, with the ability to influence executive stakeholders and present complex ideas clearly, concisely, and credibly • Strong analytical and value-oriented mindset, with experience developing business cases, ROI narratives, investment recommendations, and outcome-based strategies • Proven ability to lead business development activities such as proposals, solution development, offering creation, strategic pursuits, and account growth initiatives and attain sales goals • Strong understanding of AI and GenAI capabilities, limitations, and enterprise implications, without requiring hands-on experience building models, pipelines, or MLOps frameworks • Experience leading, coaching, and developing cross-functional teams and aligning business, technical, and executive stakeholders around shared strategic priorities and measurable outcomes, raising the quality and consistency of practice delivery • Prior exposure to organizational change, operating model design, governance, or enterprise transformation initiatives preferred • Demonstrated experience working with modern data platforms and tools, such as: Anthropic’s Claude Suite, OpenAI, Snowflake, and Databricks with a functional understanding of AWS, Azure, GCP.
• Professional development opportunities • Remote work options
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