Data & AI Strategy Senior Manager

As a Data & AI Strategy Senior Manager, you will focus on three clusters, * Responsible for actively developing and growing the strategy business, leveraging and expanding client relationships by finding, shaping and converting opportunities into top line contributions for Datashift

• Lead, coach, and inspire consulting teams while supporting consultants in their professional developmentHelp shape Datashift’s strategy offerings, value propositions, and market positioning.
• Contribute to the thought leadership status of Datashift by activing contributing to both creation as well as conversion into client engagements

1. Client and Engagement Leadership: * Help organizations identify where data, analytics, and AI can create the greatest business impact. *

• Act as a trusted advisor to senior stakeholders and executive leadership teams.
• Help organizations identify where data, analytics, and AI can create the greatest business impact.
• Lead Data & AI strategy engagements, by translating complex business challenges into actionable data and AI initiatives: from discovery over strategic guidance into implementation and value realization.
• Support organizations in AI adoption, change management, and transformation programs.
• Take end-to-end responsibility for client engagements, ensuring quality, impact, and stakeholder satisfaction.

1. Team Leadership and coaching * Lead, coach, and inspire consultant team while supporting consultants in their professional development.

We’re looking for an experienced, entrepreneurial profile with strategic acumen in data and, * A Master’s degree in Business Engineering, Computer Science, Economics, Business Analytics, Information Management, or a related field.

• Proven consulting experience, which is essential for this role.
• An entrepreneurial mindset and a proven track record in both business development as well as client relationship management is essential for this role.
• A strong track record of leading client engagements and managing senior stakeholders.
• Experience in or eagerness to manage a team and/or a P&L is a plus
• Experience in Data Strategy, Analytics, AI, or Digital Transformation projects.
• The ability to think and act both strategically and pragmatically.
• Strong leadership skills and the ambition to grow into a broader management/director role.
• The confidence and maturity to engage with C-level stakeholders and in complex business environments.
• Fluency in Dutch and English.

Pulled from the full job description

• Fuel card
• Company car
• Food allowance, This role is designed for professionals who want to go beyond delivering successful projects. In addition to leading strategic Data & AI engagements, you will have the opportunity to actively contribute to the further development of Datashift Strategy.

You will build relationships with senior stakeholders and create, shape and convert new opportunities with both existing and prospective clients. Over time, you will grow into a broader role with increasing impact on clients, teams, and the continued expansion of our practice.

Our offer * A key role within Datashift’s growing Strategy practice.

• A no-nonsense working environment where quality, entrepreneurship, and impact are central.
• The opportunity to work directly with C-level stakeholders on strategic Data & AI challenges.
• Plenty of room to take initiative and help shape our services and future direction.
• Continuous investment in your professional, technical, and leadership development.
• Challenging projects at the intersection of Data, AI, and business transformation.
• An attractive compensation package including a company car, fuel card, meal vouchers, bonus, and additional benefits.
• Flexible working arrangements and offices in Mechelen, Leuven, and Ghent.

Interested?

Are you ready to help organizations accelerate their Data & AI transformation and make a strategic impact?

At Datashift, we believe that data and AI only create value when they lead to tangible business outcomes. That’s why we help organizations not only define their Data & AI strategy, but also successfully implement, adopt, and embed it throughout their business.