Consulting Manager; m/f/d Data & AI Strategy
Listed on 2026-06-01
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IT/Tech
AI Engineer (Applied/Software), Data Analyst, Data Science Manager
Location: Germany
Artefact is a global consulting company specializing in data and AI services, headquartered in Paris. We combine the rigor and structured problem-solving of top-tier strategy consulting with deep expertise in data, AI, and analytics to help clients achieve tangible business impact.
With 2000+ consultants, data scientists, and engineers across 26 countries, we work with global market leaders. Our German office is on a strong growth trajectory, advising clients cross-industry on their most pressing strategic challenges. We don't just deliver slides – we bridge the gap between technical possibilities and business imperatives, guiding clients from their first lighthouse use case to company-wide AI maturity.
MainResponsibilities
As a Consulting Manager (m/f/d) Data & AI Strategy
, you will act as a trusted sparring partner to executives, steer complex transformation programs across functions, and drive organizational change at scale.
- Lead AI Transformation Programs: Steer end-to-end execution – from a focused 6-week engagement with a 500-person Mittelstand manufacturer to multi-phase transformations with large enterprises. You will identify internal champions, manage blockers, and drive measurable adoption and organizational change.
- Strategy & AI Use Case Scoping: Work closely with C-level stakeholders to answer high-stakes questions:
How can AI reshape their business models? How should they govern data? You don't just advise; you help evaluate model choices, discuss data privacy trade-offs, and conceptualize technical feasibility. - Drive Business Growth: Actively drive the growth of our German practice. Take ownership in lead generation and pipeline conversion by engaging prospective clients, shaping proposals, and supporting pre-sales and key-account development with entrepreneurial energy.
- Thought Leadership & Advocacy: Represent Artefact's AI Transformation perspective externally. Advance our voice in enterprise AI through expert discussions, content creation (e.g. Linked In, whitepapers), and opinionated, hands-on perspectives on applied AI trends and real-world adoption pathways.
- Advance the Practice: Evolve our methodologies, tools, and frameworks to keep our offering state-of-the-art. Develop reusable transformation playbooks and bring your strategic consulting or domain expertise into the team.
- Team Leadership & Mentoring: Act as a senior advisor and role model – leading, coaching, and mentoring agile, hybrid project teams (consultants, data scientists, and engineers), fostering a fast-paced, can-do culture.
At our heart, we define ourselves by a culture of ownership, intellectual curiosity, and cooperation.
We are looking for driven, capable, and prudent talents with a strong motivation and hunger for new challenges and opportunities to learn and grow. You are a true team player, eager to support others while scaling both the company and your own career.
- Work Experience: Approximately 5-8 years of full-time working experience in management consulting, enterprise technology, or fast-paced environments like leading startups and boutique consulting firms. A proven track record of delivering data, analytics, or AI-driven transformation projects is essential.
- Transformation & Change Management: Demonstrated experience leading complex, cross-functional transformation programs, with the ability to manage executive stakeholders, navigate corporate politics, and embed AI capabilities within client organizations.
- AI Fluency & “Builder Mindset”: Strong fluency in modern and applied AI – including agentic AI systems, LLM-powered workflows, generative AI applications, and AI evaluation best practices. While you don't need to be a full-time programmer, you have a hands‑on understanding and can credibly demo working AI concepts and discuss data privacy constraints.
- Analytical & Technical Acumen: Knowledgeable about common machine learning techniques, cloud architectures, and data management principles. Excellent quantitative skills to draw strategic insights from complex data sets.
- Communication & Presence: Outstanding communication, presentation, and moderation skills. You have a strong presence…
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