Enterprise Architecture · Data & AI Strategy

Figure out what’s important, and make sure it happens.

As an enterprise architect I help companies to align their goals with their IT initiatives. Out of the many things which could be done, we need to find the few which matter most, and then make sure they get done. I have been doing this for more than twenty years, working with executive leadership, architects and development teams.

Principal Consultant at INNOQ · Kaarst / Düsseldorf, Germany

André Aulich

About me

Whatever the topic is, I start with the pain points and the opportunities of a company. Then I find out which of the possible projects are the most valuable ones, and I help to make them happen. Enterprise architecture is my method for this, also when the topic is data and AI.

I think in value streams. When a stream is broken, I prefer to fix the broken parts without becoming part of the stream myself, and then to move on to the next problem. Sometimes the reason lies in how people work together. Then I like to think about who can do what, and I look at the individual people and their strengths and not only at abstract roles.

I have been working in enterprise architecture for more than 20 years. Since 2017 I have been designing data architectures, and lately I have been focusing on how companies can create value with AI. I grew an enterprise architecture function from zero and owned a company-wide AI strategy in retail. I spent the larger part of my career in television and moving-image environments, where I learned to design for scale, speed and production data which is rarely as clean as you would like it to be.

My work at INNOQ

As a Principal Consultant I mostly work on the following topics, which are closely connected.

Strategy

Data & AI strategy and operating models

I help to translate data and AI ambitions into something management can act on: a maturity assessment, a target operating model and a roadmap. The roadmap organizes data and AI around the value streams of the company instead of building a technology silo, and it takes into account what the organization is able to adopt.

How to Actually Land an AI StrategyMeet Once, Not Twice

Governance

Data mesh & federated governance

I design data product architectures which consolidate analytical data, while the teams who own the source systems stay autonomous, and I apply the same principles to AI (governed AI autonomy). Where usage data can endanger the people it describes, security is part of the design from the start.

Security by Design for Analytics Platforms

Architecture

Enterprise architecture (TOGAF)

I build up the architecture function and the practices which align the IT strategy with the goals of the business, from scratch if this is what the situation requires.

Doing the Right Things with Enterprise Architecture

Organization

Organizational structure, beyond the org chart

Sometimes the reason why work doesn’t flow lies in how people work together: teams aren’t well connected, motivation has suffered, or it’s unclear who can do what. I help to solve this without designing the organization from scratch, and I look at the individual people and their strengths and not only at abstract roles. Domain-Driven Design and Team Topologies provide the vocabulary.

A Company Is Organized Conflict

From broadcast IT to data & AI strategy

A selection. Clients are described by sector and are not named.

  1. 2025 - present

    Principal Consultant

    INNOQ Deutschland GmbH

    • External data architect for a major public broadcaster. Designing a company-wide data product architecture which consolidates analytical data, while the teams who own the source systems stay autonomous.
    • Advising enterprise clients on data & AI operating models, IT strategy and the modernization of their organization, and transferring data mesh principles to AI as a basis for governed AI autonomy.
  2. 2023 - 2025

    Senior Consultant

    INNOQ Deutschland GmbH

    • Designed digital ecosystems for global IoT manufacturers, and reworked the software development lifecycle processes of B2B vendors to shorten their time-to-market.
  3. 2022 - 2023

    Head of Enterprise Architecture

    Fressnapf Group

    • Initiated and owned the company-wide AI strategy, with the goal of making data-driven decisions part of the core business.
    • Grew the enterprise architecture team from 1 to 10 people and established it as a partner to the executive board for the digital transformation of the company.
  4. 2020 - 2022

    Lead Enterprise Architect

    Fressnapf Group

    • Built up the enterprise architecture function from scratch, introduced EAM practices and aligned the IT strategy with the goals of the company.
    • Designed the ecosystem architecture of the company to support omnichannel growth.
  5. 2018 - 2021

    Founder & Managing Director

    moosystems GmbH

    • Founded and led a technology company which developed data management solutions for media companies, and advised clients on how to organize their development teams in a more agile way.
  6. 2003 - 2020

    Selected engagements

    Freelance Enterprise Architect

    • Advised leading international broadcasters and media organizations on their digital transformation with scalable, global media management solutions.
    • Modeled end-to-end data flows from ingest to playout and designed an enterprise data model, which I then deliberately split into decentralized data products. Today this would be called data products and data mesh, but these terms did not exist at the time.
    • Led a large archive migration for a major venue operator, with business continuity and data integrity as the main requirements.

Say hello.

I am always happy to discuss data, AI and architecture topics, or to hear what you are working on. The quickest way to reach me is email.

Phone
+49 173 25 17 719
Based in
Kaarst · near Düsseldorf, Germany