ralph schwehr
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Interim Executive for measurable digital and AI impact.

I take responsibility at the intersection of digital business, eCommerce, growth, AI and data. With focus on EBIT, scale, and governance that enables innovation.

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Ralph Schwehr
Platform revenue p.a.
€1.3 B
Cloud Marketplace
+185%
OPEX (carve-out)
−62%
Online subscriptions
+290%
Countries in rollout
82
One Digital Unit
120+

Why me

Bringing stability and future-readiness together.

In transition and transformation, I create trust, clear decisions, and execution that brings teams along. I respect what works and modernise where it improves growth, efficiency or AI and data value.

Analysis. Strategy. Execution.

In that order. With the depth each phase requires, no slide theatre. Hands-on, KPI-driven, with ownership.

  1. 01

    Analysis

    Honest baseline. Data view, use case inventory, stakeholder mapping, maturity. What carries weight, what has to go.

  2. 02

    Strategy

    Prioritised portfolio with a business case per initiative. Operating model sketch, governance minimum, KPI set, 90-day plan. Decidable, not endlessly debatable.

  3. 03

    Execution

    Delivery with the team. Architecture decisions, tool choices, sprints, reviews. Until the numbers show, not until the steering deck looks pretty.

When I get called in

What I'm brought in to solve.

  1. 01

    Move AI and data into value creation

    Prioritise use cases, build the data foundation, set up LLMOps, design governance. Production beats permanent pilot.

  2. 02

    Scale platform and digital sales

    Conversion, CRM and lifecycle, marketplace mechanics, ecosystems, enterprise accounts. With clear KPIs and ownership.

  3. 03

    Cover during leadership transitions

    Take responsibility during parental leave, illness, succession or reorg. Including day-to-day stability and clean hand-over.

  4. 04

    Deliver turnaround and transformation

    Operating model, reorg, PMI or carve-out, KPI system and stakeholder alignment. Teams get back to fast, focused delivery.

  5. 05

    Change management in AI transformation

    AI projects are rarely tech problems, they are change projects. Stakeholder alignment, skill building, new workflows, new roles. I connect tech architecture with change architecture.

  6. 06

    Technical depth in delivery

    I read architecture diagrams, understand data models, and write code myself. In tech due diligence, build-vs-buy decisions or LLMOps, I know what we're commissioning, buying or building.

How we work together

Three engagement formats.

Interim

CDO, Chief AI & Data, or VP Digital & Growth. Full-time mandate with P&L ownership.

Fractional

One or two days per week. Chief AI & Data or Digital Growth Lead.

10-day Value Sprint

Top use cases prioritised, business case, 90-day plan, governance minimum. Tightly scoped entry.

Proof, not theory

Selected results.

Context per number, role, company and period, sits in the CV.

>€1.3 B
Platform revenue under ownership
+185%
Cloud marketplace growth, 2022 to 2024
+31%
myBechtle online accounts
+130%
Revenue in PE turnaround
+200%
EBT in PE turnaround
+290%
Online subscriptions in PE turnaround
−62%
Careline OPEX after carve-out
82
Countries in post-carve-out rollout
120+
People in the One Digital Unit
1.69
360° feedback score after change
€42 M
Programme budget, post-merger rollout
+32%
Revenue lift, strategic key account

Track record

Where I've worked.

Selection. Results sit above, context lives in the CV.

Voice of AI

Weekly read on what's happening in AI.

My weekly newsletter lives on the OAKAI site. Survivability, the industrialisation of AI, defence, care. Topics that don't fit in slides.

Read on oakai.de

Contact

Let's talk.

Tell me what's coming up. You'll hear back within 48 hours.

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