Commercial Data & AI Lead

Schuberg Philis; Schiphol-Rijk; On-site; EUR 90,000 - 130,000; Full time

Job summary

Schuberg Philis is seeking a Commercial Data & AI Lead to bridge proposition strategy and customer execution. Embedded in Greater Customer Teams, you translate client challenges into standardized data and AI solutions, accelerating sales cycles with technical credibility and ensuring proposals are desirable and feasible for delivery.

You collaborate with Sales Directors and the Data & AI Ambassador to drive adoption of the data & AI proposition, shape roadmaps, and turn market-leading services

Qualifications

• Hands-on experience in data engineering, data platform development, analytics, ML or AI implementation.

Responsibilities

• Opportunity qualification & sales enablement; identify and qualify cross-sell and upsell opportunities within existing customer accounts and translate needs into high-level options.
• Solution design & proposal development; co-create designs with team leads and support RfP responses, demos, reference architectures, and technical deep-dives.
• Proposition product management & feedback; stay current on roadmaps and provide structured feedback from engagements to sharpen the proposition.
• Customer engagement & technical consulting; act as trusted advisor in dialogues about data architectures, AI/ML platforms, and business constraints with stakeholders.
• Standardization & continuous improvement; create templates, checklists, and reusable assets to improve predictability and scale.

Skills

Data engineering

Data platforms

AI/ML platforms

Cloud data services

Stakeholder management

Job description

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 (GCTs), the Commercial Data & AI Lead translates customer challenges into compelling, standardized data and AI solutions, accelerates sales cycles through technical expertise, and ensures that what we propose is both desirable for customers and feasible for our delivery teams. Working closely with Sales Directors and the Data & AI Ambassador , the Commercial Data & AI Lead is the expert in the room—driving adoption of our data & AI proposition and turning market-leading data and AI services into signed contracts and successful customer outcomes.

Your impact

• Opportunity qualification & sales enablement; 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, matching them to our standard services and reusable digital assets (RDAs), and translating customer needs into high-level solution options. Act as the proposition expert who ensures our data and AI services portfolio is positioned effectively in every conversation.
• Solution design & proposal development; Co-create solution designs with team tech leads that maximize standardization and leverage our reusable propositions across Data & AI, Cloud, Software, and Security. Support RfP responses, deliver demos, reference architectures, and technical deep-dives that showcase our data platform and AI capabilities. Provide trusted advisory on deal structure, scoping, and pricing aligned with our strategic focus on standardized data and AI services adoption.
• Proposition product management & feedback; Work closely with Data & AI Ambassador to stay current on proposition roadmaps, positioning, and go-to-market narratives. Provide structured feedback from customer engagements, including win/loss analysis, new requirements, pricing signals, and MEDDPICC insights, to further sharpen Schuberg Philis’ Data & AI proposition. Actively spot opportunities to create new reusable data and AI assets and promote inner-source contributions from customer engagements.
• Customer engagement & technical consulting; Serve as a trusted technical advisor in customer dialogues, able to discuss data architectures, AI/ML platforms, analytics pipelines, regulatory considerations, and business constraints with both technical and executive stakeholders. Quantify value, explain trade-offs, and build credibility through demos, proof-of-concepts, and workshops that demonstrate how our data and AI propositions solve real business problems and unlock data-driven decision making.
• Standardization & continuous improvement; Contribute to the evolution of our data and AI services portfolio by creating standard templates, checklists, and reusable sales enablement materials that make future pre-sales engagements more predictable, auditable, and efficient. Champion the use of data platform strategy, AI accelerators, and productized services within customer teams, ensuring consistency and scale across engagements.

Your profile

You are primarily commercially driven but with a strong data engineering or AI foundation and natural consulting instincts. Comfortable operating at the intersection of business and technology, as you understand data architectures and AI/ML systems, can quantify business value, and know how to structure data and AI engagements that work for both customer and delivery. Naturally collaborative and pragmatic, you thrive working alongside engineers, sales and delivery experts to align bespoke customer opportunities with our standardized data and AI services. You excel at simplifying complex topics, building trust quickly, and telling a coherent proposition story that resonates with technical and non-technical audiences alike. You are energized by converting opportunities into wins and seeing your technical guidance translate into customer success.

Beyond shaping and scoping individual deals, the Commercial Data & AI Lead plays a vital role in strengthening Schuberg Philis' commercial engine. You help mobilize the right data and AI expertise across teams, ensure alignment between what we sell and what we can deliver, and create momentum by removing friction in the sales-to-delivery handoff. As such, you are not only a customer-facing solution architect, but also an internal enabler who ensures our data and AI propositions are consistently understood, correctly applied, and continuously improved through real-world learning. You help Schuberg Philis move as one by translating proposition strategy into practical customer wins and feeding valuable market intelligence back into our product development cycle.

Technology (3-5 years of experience)

• Hands-on experience in data engineering, data platform development, analytics, machine learning, or AI implementation within enterprise environments.
• Solid understanding of data architectures (data lakes, data warehouses, streaming platforms), AI/ML platforms, cloud data services, and current trends in data engineering and artificial intelligence.
• Experience designing or contributing to data and AI solutions that balance customer requirements with reusable, standardized components and platform capabilities.
• Comfortable discussing technical patterns, data integration approaches, AI model deployment, governance and regulatory considerations, and architectural trade-offs with customers and internal teams.
• Familiarity with data platform strategy, MLOps practices, inner-source contributions, and productized data/AI services.

Commercial (5+ years of experience)

• Proven track record in customer-facing, revenue-generating roles such as pre‑sales, solution consulting, technical account management, or data/AI engineering with significant customer interaction.
• Experience supporting data and AI-focused sales cycles: opportunity qualification, solution scoping, proposal development, RfP responses, and technical presentations.
• Skilled at articulating complex data and AI concepts into compelling commercial narratives, supporting pricing and deal structuring decisions for data transformation and AI implementation engagements, and contributing to win/loss analysis.
• Comfortable with commercial metrics and frameworks (e.g., MEDDPICC) and able to provide actionable feedback to sales and proposition teams.
• Experience working with standardized data and AI service offerings, outcome-based engagements, fixed-price data/AI projects, or platform-as-a-service models is a strong advantage.
• Excellent communication and presentation skills in Dutch and English; able to engage confidently with both technical data/AI teams and business stakeholders, from data scientists and engineers to C-level executives.
• Demonstrated ability to build trust quickly, listen actively to customer data and AI challenges, and adapt messaging to different audiences—explaining complex AI/ML concepts in business terms.
• Collaborative mindset with experience working across multidisciplinary teams (sales, data delivery, product, engineering, analytics, AI/ML).
• Comfortable giving and receiving feedback, contributing to data and AI proposition evolution, and championing best practices across the organization.
• Professional proficiency in Dutch and English is essential for effective performance in this role.