About Us

Artefact is the next generation end-to-end data service company, with a focus on consulting and marketing, that helps organisations transform data into value and business impact.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results.

We have 1700+ employees across 23 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

About the Role

As a Consulting Manager, you will play a pivotal role in leading AI-driven transformation projects for our clients, shaping their data, technology, and business strategies.

You will leverage your consulting expertise and strong interest in AI to deliver impactful solutions, bridging the gap between business needs and technological possibilities.

Working closely with cross-functional project teams, you will be at the forefront of defining client challenges, developing strategic recommendations, and delivering high-impact initiatives involving AI, data engineering, and digital innovation.

Our most successful Managers are passionate about technology, adaptable across industries, and quickly take ownership of client relationships and team development.

Key Areas of Responsibility

• Define client needs and project scopes through workshops, interviews, and diagnostics with business and technology stakeholders.
• Lead and deliver AI-related consulting projects, including AI adoption strategies, data science application roadmaps, and operational transformations.
• Perform advanced research and structured analysis to solve strategic challenges, particularly around AI deployment, data-driven innovation, and process automation.
• Formulate and present strategic recommendations backed by data insights, AI applications, and business analysis.
• Develop new business opportunities by identifying client challenges and translating them into concrete consulting proposals.
• Collaborate with AI experts, data scientists, and engineers to ensure pragmatic and scalable client solutions.
• Contribute to thought leadership on AI, data transformation, and digital innovation through articles, research papers, and client-facing publications.

Competences & Skills

• 5–10 years of full-time, client-facing consulting experience (preferably with exposure to technology, digital, or data-driven projects).
• Prior experience working at a leading consulting firm (e.g., top-tier or recognized boutique consulting firms) is highly desirable.
• Strong interest in AI applications, machine learning, automation, or data strategy — practical project experience in these areas is highly desirable.
• Bachelor's or Master’s degree in Business, Technology, Engineering, Data Science, or a related field.
• Solid knowledge of consulting methodologies and project management best practices.
• Ability to structure problems, perform advanced business analysis, and translate findings into actionable recommendations.
• Excellent intercultural communication skills and experience working with diverse teams across industries.
• Comfort with fast-paced environments and ambiguity typical of AI and emerging technology engagements.
• Proficiency with business analysis tools such as PowerPoint and Excel; familiarity with AI/ML concepts and/or data environments (SQL, Python basics) is a plus.

Our Belief

We believe data is changing the world, and it’s just the beginning. We want this to be done in the right way, with transparency and ethics. This is the only way to create sustainable impact for business and society.

Our Mission

We are on a mission to build the next generation of data leaders who:

• Fully capture the power of data & digital to deliver business value ;
• Bring understanding, trust & transparency of data into our society.

Our Values

• Collaboration : People of different background and expertise working closely together;
• Trust & Transparency: Dealing with data topics with integrity and ethics; Realistic and honest with our capabilities and limitations;
• Innovation: Always working on the most trendy and new topics on data and digital; Always on top of the new ways of using data;
• Action: We would rather do than to tell what to do; Has a “building the plane while flying” agile mentality.

Our Unique Attributes

• We bring great value to business and create a better society with the understanding, transparency and ethical use of data ;
• We build the next generation of data leaders ;
• We disrupt the market :
• Data Native - Born with data and defining data ;
• ART + SCIENCE - Mixture of talents in ART (Creative, Planning, Media, Consumer Engagement) and SCIENCE (Data Consulting, Data Science, Data Engineer) ;
• One P&L - Integrated & collaborative, with all chapters working toward the same goal ;
• End to End - Capabilities from Strategize to Build to Run.

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 Romandie office (Geneva/Lausanne) 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.

What you will be doing?

About the Team

We are looking for Software Engineers who want to go beyond just writing code — engineers who want to shape the backbone of modern fintech.

In Treasury and Financial Systems, every line of code you write directly impacts financial accuracy, liquidity, and trust. You’ll design and maintain systems that power reporting, reconciliation, and automation — the unseen yet critical infrastructure that keeps digital finance running smoothly.

It’s an opportunity to work at the intersection of engineering, finance, and operations. You’ll collaborate with Operations, Finance, and Compliance, taking ownership of projects end-to-end, and learning how technology safeguards hundreds of millions in financial flows.

What You Will Do

• Build reporting platforms that ensure compliance and precision. You’ll learn how to design systems where accuracy is paramount.
• Develop dashboards and monitoring systems that track and reconcile assets vs. liabilities — giving the company the confidence to scale products backed by real liquidity.
• Build automated reconciliation systems — the foundation of every fintech. You’ll learn how to detect, investigate, and resolve mismatches across internal and external financial systems.
• Create systems that take manual accounting work off the table by automatically generating journal and ledger entries into ERP and treasury platforms.
• Work closely with Finance, Treasury, Data, and Compliance to transform domain-heavy requirements into elegant, scalable technical solutions.
• Implement real-time monitoring and anomaly detection for treasury operations — so issues are caught before they become problems.

What We’re Looking For

• 1 year of software engineering experience, fresh graduated are welcome to apply
• Proficiency in Ruby on Rails or Golang (both is a big plus).
• Strong data analysis skills: BigQuery, SQL optimization, dbt, and familiarity with OLTP/OLAP tradeoffs.
• SQL and database design expertise.
• Experience building and consuming RESTful APIs, ideally in a microservices architecture.
• Proficiency in CI/CD pipelines and Git workflows.
• Strong English communication skills, both written and spoken.
• Bonus: familiarity with Agile, fintech, or financial systems.

What You Will Gain

• Deep domain expertise — You’ll learn how financial systems really work under the hood: reconciliations, liquidity, compliance, and reporting.
• High ownership environment — You won’t be a cog in the machine. You’ll drive projects that directly influence how money moves across products and markets.
• Cross-disciplinary learning — You’ll partner with Finance, Treasury, and Compliance teams, giving you rare exposure outside the typical software silo.
• Impact at scale — The systems you build safeguard trust in financial products used across Southeast Asia.

Nice to Haves

• Experience integrating ERP finance modules.
• Experience with digital wallets, bank payment rails, or blockchain.
• Knowledge of financial audit and reporting principles.