Building Product-Driven Digital & Data Factories Focused on Business Outcomes

A Modern Approach to Digital & Data Factories

A Digital or Data Factory is more than a delivery unit: it is an operating model that accelerates transformation while ensuring business ownership, product maturity, and long-term scalability.
I design and lead Factories based on five principles:

1. Business-Driven Product Thinking
   Every factory is organized around clear products, not projects.
   Each product has business goals, KPIs, and a dedicated roadmap shaped directly with operational teams.
   This ensures alignment, accountability, and measurable value.
2. Autonomous, Cross-Functional Squads
   Inspired by high-performance cloud-native organizations, squads combine all required skills: product, engineering, data, UX, and security.
   Small, autonomous teams (double-pizza size) deliver iteratively and independently, reducing bottlenecks and speeding up execution.
3. Working-Backwards Approach Without Naming It
   Each initiative begins with the value to be delivered.
   We define the user need, the expected business outcome, and the measurable impact—then work backward to build only what is necessary.
   Clarity first, delivery second.
4. Industrial Governance Without Bureaucracy
   The model integrates light but robust governance:
   • strategic steering
   • product reviews
   • shared architecture guardrails
   • continuous compliance and data governance
   Teams retain autonomy, but operate within clear, scalable frameworks.
5. Scalability and Talent Independence
   A factory must grow without growing cost and dependency.
   I ensure teams are trained, upskilled, and structured to operate independently so the factory becomes an internal capability—not a vendor-driven service center.

What I Deliver

Design and structuring of the Digital & Data Factory:
• Target operating model
• Product organization and role definitions
• Squad structure and team interfaces
• Governance, delivery, and portfolio frameworks

Business alignment and productization:
• Definition of product lines and business outcomes
• Co-creation with operational stakeholders
• KPI, OKR, and success metrics models
• Working-backwards-inspired value definition

Squad creation, staffing, and enablement:
• Recruitment for product, engineering, data, UX, QA, and platform roles
• Playbooks for delivery, rituals, and decision models
• Leadership coaching for Product Owners, PMs, and Tech Leads
• Transition from vendor-heavy models to internal capability

Cloud, Data, and AI integration:
• Native integration with cloud landing zones and infrastructure
• Data governance and MDM alignment
• AI-driven acceleration, automation, and analytics integration
• Security-by-design and compliance frameworks

Factory acceleration and transformation leadership:
• Interim leadership as Head of Data, CTO, or CDO
• Turnaround of underperforming digital or data organizations
• Operating model rationalization and simplification
• Vendor management and industrialization of delivery

Who I Have Done This For

I have designed, structured, or transformed Digital and Data Factories for international groups and high-growth companies across Europe, Asia, and the Americas.
This includes global organizations in retail, luxury, industry, finance, and technology, AWS customers, and multiple enterprises undergoing major cloud, data, or digital transformation.
In each case, the objective was the same: build a scalable, product-centric digital engine where teams deliver autonomously and technology creates measurable business outcomes.

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