Data Consulting Manager

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.