EVERIENCE

consulting

BusinessArchitectData&Analytics(m/w/d)

Utrecht, Netherlands FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Business Architect – Data & Analytics (m/w/d) at EVERIENCE. Skills: Data & Analytics architecture, enterprise data and AI capabilities, AI-Ready Data, Data as a Product, Advanced Analytics & AI Solutions. design and implement next-generation enterprise data and AI capabilities. Define target architectures in collaboration with enterprise architects, domain architects, and business stakeholders”

What You'll Achieve.

accelerate digital transformation; Ensure data and AI solutions are scalable, secure, compliant, and aligned with business value creation; Align architectural roadmaps with strategic business objectives

Industry & Context.

consulting
Problems you'll solve

translating complexity into practical, scalable solutions; assess business and IT impacts of architectural decisions

What They're Looking For.

Must Have

Minimum 7 years of experience in relevant roles, at least 3 years in enterprise or business architecture within complex data & analytics environments, 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, 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

Nice to Have

Experience in complex, international, and multi-domain environments

What You'll Do.

design and implement next-generation enterprise data and AI capabilities

Define target architectures in collaboration with enterprise architects

and business stakeholders

Guide teams in adopting enterprise standards

and standardized architecture patterns

Support delivery teams with a architectural vision

and governance approach

Ensure data and AI solutions are scalable

and aligned with business value creation

Act as a trusted advisor to both business and technology leadership teams

automating data product creation

transforming unstructured data into AI-ready assets

enabling modern API-based and streaming architectures

Apply product thinking to enterprise data capabilities by improving discoverability

and accessibility of data products across organizations

Design and scale reusable analytics solutions including machine learning

and intelligent automation platforms

Support organizations in governing and operationalizing AI responsibly and effectively

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

How You'll Work.

Team & Collaboration

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 architectural vision, strategic roadmap, and governance approach; Act as a trusted advisor to both business and technology leadership teams; Coach and mentor solution architects and technical teams; Align architectural roadmaps with strategic business objectives; Collaborate across multidisciplinary teams and client environments; Foster a culture of learning, ownership, and collaboration; Collaborate with stakeholders to design future-proof data ecosystems; Mentor architecture teams and contribute to capability development

Communication Scope

ability to explain complex technical concepts clearly to both technical and non-technical stakeholders

Full Job Description

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 standard

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