Data Strategy for Enterprise AI
AI is only as powerful as the enterprise data strategy behind it.
Organizations are rapidly adopting AI, but many still face a deeper challenge: how do you build the enterprise data foundations required for scalable, trusted, and sustainable AI?
While access to AI models is becoming increasingly widespread, competitive advantage depends on strategic choices around data assets, architecture, infrastructure, economics, trust, resilience, and operating models.
The Data Strategy for Enterprise AI program equips leaders with the frameworks, strategic lenses, and practical tools needed to architect enterprise data as a defensible, compliant engine for AI.
Key facts
Key benefits
- Learn from faculty at the frontier of enterprise AI. Developed by ESMT Berlin faculty and grounded in cutting-edge research at the intersection of AI, data, and enterprise transformation.
- Work through the real decisions, not the theory. Executive frameworks, diagnostics, and simulations built around the exact tradeoffs, from architecture, ownership, and vendor dependency, that your organization is facing right now.
- Build with peers who carry the same weight. Learn alongside senior leaders from diverse industries, all responsible for making their organizations' data layers AI-ready.
- Leave with tools, not slides. Frameworks and decision models built to be applied inside your organization from day one.
- See past this cycle. Explore the next wave of questions forming around sovereignty, resilience, and next-generation AI systems.
Your profile
- You are a mid- to senior-level leader seeking to create lasting business impact through AI-enabled capabilities grounded in strong enterprise data foundations.
- You are responsible for AI, data, digital, technology, analytics, innovation, architecture, or enterprise strategy decisions.
- You are ready to move your organization beyond fragmented data environments toward a coherent enterprise data strategy that supports scalable, resilient AI.
- You seek frameworks and practical guidance to navigate the tradeoffs around data assets, architecture, economics, operating models, trust, and long-term competitiveness.
Topics
What you'll work through
1. Enterprise data readiness for AI and autonomous systems
Data pedigree, provenance, lineage, traceability, trustworthiness, and AI readiness.
2. Strategic data advantage and competitive differentiation
Proprietary, public, and synthetic data strategies, data asymmetry, feedback loops, and network effects.
3. Enterprise intelligence architecture
Centralized versus federated models, lakehouse approaches, cloud versus sovereign infrastructure, interoperability, and resilience.
4. Investment, ownership, and dependency at the data layer
Compute and storage economics, CapEx versus OpEx, RAG versus fine-tuning tradeoffs, build versus buy, vendor and SaaS dependency, and the operating model choices that follow from them.
5. Trust, resilience, and regulatory evidence
Privacy, cybersecurity, GDPR and EU AI Act considerations where relevant, auditability, and operational resilience.
Downloads
Data Strategy for Enterprise AI
Next dates
Program journey
Architecting the enterprise data engine
Examine the strategic data choices that must be made before enterprise AI can scale.
Operating and stress testing the data engine
Translate your strategic choices into an integrated enterprise data approach, then test your decisions under executive scrutiny.
How you'll work
Executive challenge sessions
Throughout both days, you'll pressure-test your own enterprise data decisions under regulatory, economic, technical, and competitive constraints – in front of peers, not just on paper.
Tangible outcomes
By the end of the program, participants will have developed a board-facing first draft of a data asset and architecture blueprint, covering:
- Enterprise data readiness assessment
- Strategic data advantage logic
- Architecture and infrastructure decisions
- Economics and investment priorities
- Operating model and ecosystem choices
- Trust, resilience, and regulatory evidence implications
- Enterprise data action plan
Meet your program director
Jean Arnaud
AI Program Director, ESMT Berlin Executive Education
Jean Arnaud leads programs on AI strategy, leadership, and organizational transformation at ESMT Berlin Executive Education. Previously, he served as Director of Innovation at the Cambridge Innovation Center (CIC) and co-founded Æthos, an interdisciplinary AI hub. He has advised organizations across Europe and the United States, and spoken at Harvard, MIT, SXSW, and the World AI Summit.
Why ESMT?
- Ranked among the world's leading providers of executive education by the Financial Times, including top five worldwide in customized programs and top ten worldwide in open-enrollment programs (2026).
- Located in Berlin, one of Europe's leading hubs for entrepreneurship, technology, and innovation.
- Executive education built to help you turn enterprise data into a governed, defensible foundation for AI, combining academic rigor with direct application to your organization's architecture and compliance decisions.
Frequently asked questions
Find answers to common questions about Data Strategy for Enterprise AI and what to expect from the program.
What is an enterprise data strategy, and why is it essential for AI?
An enterprise data strategy defines how an organization acquires, manages, shares, and uses data to achieve its business goals. For AI, it connects intended applications with the data, infrastructure, ownership, and investment they require. A clear strategy helps leaders address fragmented systems, unreliable information, and unclear responsibilities before these problems limit AI performance or increase costs and risks.
Who should attend ESMT Berlin’s Data Strategy for Enterprise AI program?
The program is designed for mid- to senior-level leaders responsible for AI, data, technology, analytics, innovation, architecture, or enterprise strategy. It is particularly relevant for those making decisions about the data foundations their organization needs to scale AI.
What practical outcomes will I take away from the program?
You will develop a board-facing first draft of a data asset and architecture blueprint. This covers enterprise data readiness, strategic data advantage, architecture and infrastructure decisions, investment priorities, operating model and ecosystem choices, trust and resilience considerations, and an enterprise data action plan.
How is this program different from a data analytics or data science course?
Data analytics and data science courses typically focus on analyzing data or developing models. Data Strategy for Enterprise AI addresses the leadership decisions that enable those activities across an organization, including architecture, investment, ownership, and trust.
How does this program differ from ESMT’s other AI executive programs?
ESMT Berlin’s AI executive programs address different learning needs. Choose according to your responsibilities and the decisions you need to make:
- Data Strategy for Enterprise AI: Building the enterprise data foundations needed for scalable, trusted AI.
- AI for Managers: Understanding AI concepts, business applications, and strategic implications.
- Implementing AI in the Organization: Moving AI initiatives into practice through implementation frameworks, technology decisions, and change management.
- Agentic AI Beyond the Hype: Understanding AI agents, identifying use cases, and leading their implementation.
- Leading in the Age of AI: Leading teams through AI-driven change, including its implications for collaboration, motivation, trust, and skills.
- AI Compliance and Governance: Navigating AI regulation, risk, and governance.
Does this program count toward ESMT Berlin’s AI Executive Certificate?
Yes. The two-day program counts toward ESMT Berlin’s AI Executive Certificate, which requires six learning days across a combination of eligible AI programs.
Apply this program toward your AI Executive Certificate
This program counts toward ESMT Berlin’s AI Executive Certificate. Complete any mix of AI programs totaling 6 learning days and earn a credential aligned with the EU AI Act.
Looking for more information, a consultation, or support with your application?
Contact our program advisor Morgan Flaherty.
- Book a consultation
- Phone: +49 30 21231 1490
- Email: bd@esmt.org
