Senior Consultant (Strategy & Data/AI Transformation)

Das ist der Job

An excellent academic track record is highly valued.

Darum lohnt es sich

You will: Strategy Development: Work with client leadership teams to address high‑stakes questions such as how AI can reshape a business model, how to govern and organize for data, and which strategic programs deliver the most impact.

Learning & Growth: Regular training in both strategy consulting methodologies and AI/data capabilities, combined with international exposure. Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI.

We combine the rigor of top‑tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact. With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi.

Our Zurich office is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design.

Main Responsibilities As a Senior Consultant in our Zurich office, you will be at the intersection of strategy consulting and data/AI innovation.

Structured Problem‑Solving: Break down complex challenges into clear, actionable recommendations using frameworks and methodologies rooted in classic strategy consulting, enriched by Artefact’s data and AI expertise.

Project Delivery: Support engagements end‑to‑end, from hypothesis framing and market/competitor analysis to client workshops, governance design, and implementation roadmaps.

Client Engagement: Collaborate closely with C‑level stakeholders and business unit leaders, building trusted relationships and communicating recommendations with clarity to ensure strategic alignment.

Knowledge & Practice Building: Contribute to the growth of Artefact’s Zurich office by shaping new offerings, creating intellectual capital (frameworks, thought pieces, benchmarks), and participating in business development.

Candidate Profile Qualifications Education: Bachelor’s and Master’s degree (preferred) in Business, Engineering, Computer Science, Economics or a related field. Work Experience: Approximately 2–4 years in strategy consulting, data/digital consulting, or business analyst roles with hands‑on exposure to data, analytics, or AI‑driven projects.

Business Acumen & AI Fluency: A dual affinity for business and technology, with a structured approach to solving complex problems. Knowledge of data and digital technologies such as analytics, AI, machine learning concepts, digital marketing, and cloud platforms.

Programmer experience is not required, but a tech‑savvy mindset and eagerness to deepen understanding of the data/AI domain are expected. Analytical & Problem‑Solving Skills: Strong quantitative and analytical skills with the ability to draw insights from data and perform data‑driven analysis to support decision‑making.

Communication & Interpersonal Skills: Excellent written and verbal communication, with experience creating impactful presentations or reports. Ability to adapt messages for both technical and non‑technical audiences and a collaborative attitude are essential. Languages: Fluency in German and English (required); French is a strong plus.

Work Eligibility: Must be eligible to work in Switzerland. Why Join Us Strategy with a Data Edge: Artefact sits uniquely at the crossroads of strategy consulting and AI/digital transformation, allowing you to build boardroom‑level strategy expertise while working at the forefront of AI.

Zurich Office Impact: You will have visibility and impact from day one, helping shape Artefact’s footprint in the region and working directly with senior leadership. Culture of Doers: Innovation, action, and collaboration define us. We are entrepreneurial, fast‑moving, and committed to delivering impact while supporting each other’s growth.

This position is based in Zürich. #J-18808-Ljbffr