
Commercial Data & AI Lead
Schuberg Philis
Commercial Data & AI Lead
The Commercial Data & AI Lead at Schuberg Philis is a commercially driven technologist who bridges proposition strategy and customer execution. Embedded in Greater Customer Teams, the role translates customer challenges into standardized data and AI solutions, accelerates sales cycles, and ensures proposals are both desirable and feasible. The position requires 3-5 years of technology experience and 5+ years of commercial experience, with professional proficiency in Dutch and English.
Commercial Data & AI Lead
The Commercial Data & AI Lead at Schuberg Philis is a commercially driven technologist who bridges proposition strategy and customer execution. Embedded in Greater Customer Teams, the role translates customer challenges into standardized data and AI solutions, accelerates sales cycles, and ensures proposals are both desirable and feasible. The position requires 3-5 years of technology experience and 5+ years of commercial experience, with professional proficiency in Dutch and English.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Key Responsibilities
- Identify and qualify cross-sell and upsell opportunities within existing customer accounts.
- Support customer teams in early-stage sales conversations by understanding customer data and AI challenges.
- Co-create solution designs with team tech leads to maximize standardization and leverage reusable propositions.
- Support RfP responses, deliver demos, reference architectures, and technical deep-dives.
- Provide trusted advisory on deal structure, scoping, and pricing.
- Work closely with Data & AI Ambassador to stay current on proposition roadmaps and positioning.
- Provide structured feedback from customer engagements, including win/loss analysis and MEDDPICC insights.
- Spot opportunities to create new reusable data and AI assets and promote inner-source contributions.
- Serve as a trusted technical advisor in customer dialogues.
- Quantify value, explain trade-offs, and build credibility through demos, proof-of-concepts, and workshops.
- Contribute to the evolution of the data and AI services portfolio by creating standard templates and reusable sales enablement materials.
- Champion the use of data platform strategy, AI accelerators, and productized services within customer teams.