Business Architect – Data & Analytics (m/w/d)

Everience is an international consulting group delivering AI-augmented digital services and placing people at the heart of the AI revolution.

With a presence in Europe, Africa, Asia and America, Everience offers its 4,000-strong workforce the most demanding and stimulating environment in which to transform and develop their skills, learning about new AI-based roles and building their future employability.

Through its Symbiotic Academy the group offers a unique hub for training, practical application and exchange where everyone can experiment, learn, and progress in the fields of artificial intelligence and data.

In accordance with its core purpose of orchestrating the symbiotic relationship between humans and AI in the workplace, Everience is making the augmented employee the driving force of a “symbiotic age”, where AI enhances talents and opens up new career opportunities.

Are you a strategic thinker with a passion for data products, analytics, and AI? Do you want to help organizations shape the future of their data-driven capabilities and accelerate digital transformation? Then this opportunity at Everience Benelux could be the perfect next step in your career.

Your Role

Data and AI are rapidly becoming core drivers of innovation, operational excellence, and business decision-making. To support clients in this transformation journey, Everience Benelux is expanding its Data & Analytics architecture practice with experienced Business Architects who can design and implement next-generation enterprise data and AI capabilities.

We are looking for professionals who combine strong business acumen with deep expertise in data, analytics, and AI technologies—and who enjoy translating complexity into practical, scalable solutions.

Your Impact

As a Business Architect within the Data & Analytics domain, you will:

• Define target architectures in collaboration with enterprise architects, domain architects, and business stakeholders
• Guide teams in adopting enterprise standards, modern technologies, and standardized architecture patterns
• Support delivery teams with a strong architectural vision, strategic roadmap, and governance approach
• Ensure data and AI solutions are scalable, secure, compliant, and aligned with business value creation
• Act as a trusted advisor to both business and technology leadership teams

Areas of Specialization

Depending on your expertise and interests, you may contribute to one or more of the following domains:

AI-Ready Data & Data Product Automation

Focus on automating data product creation, transforming unstructured data into AI-ready assets, and enabling modern API-based and streaming architectures.

Data as a Product

Apply product thinking to enterprise data capabilities by improving discoverability, trust, governance, standardization, and accessibility of data products across organizations.

Advanced Analytics & AI Solutions

Design and scale reusable analytics solutions including machine learning, generative AI, knowledge graphs, and intelligent automation platforms. Support organizations in governing and operationalizing AI responsibly and effectively.

Leadership & Collaboration

As an Area Architect, you will:

• Coach and mentor solution architects and technical teams
• Align architectural roadmaps with strategic business objectives
• Collaborate across multidisciplinary teams and client environments
• Drive continuous improvement and innovation within the Data & Analytics ecosystem
• Foster a culture of learning, ownership, and collaboration

Example Responsibilities

• Develop and communicate architecture visions for enterprise data and AI platforms
• Collaborate with stakeholders to design future-proof data ecosystems
• Define implementation standards and best practices for scalable data products
• Support enterprise-wide modernization initiatives involving AI and analytics
• Mentor architecture teams and contribute to capability development

We value integrity, curiosity, collaboration, and a growth mindset. In addition, you bring:

• Minimum 7 years of experience in relevant roles, including at least 3 years in enterprise or business architecture within complex data & analytics environments
• Strong expertise in one or more of the specialization domains listed above
• Ability to think strategically in terms of business capabilities, value streams, and transformation goals
• Strong communication skills with the ability to explain complex technical concepts clearly to both technical and non-technical stakeholders
• Experience influencing and engaging senior leadership, architects, and delivery teams
• A broad perspective with the ability to assess business and IT impacts of architectural decisions
• Leadership capabilities with experience coaching and guiding architecture teams
• Experience in complex, international, and multi-domain environments is considered a strong advantage

All our positions are open to both women and men and are, of course, open to people with disabilities.