Description: We are seeking to engage one senior visual/interaction design specialist, or a small duo of specialists, to design a living, visual decision-support framework that helps R&D leaders and teams make better decisions about how and where to apply AI across the existing Digital Product Development Lifecycle. Allocation: Approximately 10-15 hours per week for approximately 6 months.

Background:

All digital products governed by the Digital Product Development Lifecycle follow a defined process spanning from problem identification and discovery through design, scale, maintenance, and eventual retirement. As AI becomes increasingly relevant across digital product development, there is a need for a clear, lifecycle-aligned framework that helps stakeholders understand:

• Where and how AI can be applied at each lifecycle phase
• Where a human-in-the-loop is required and how to decide
• What capabilities are needed to capture value through AI augmentation
• How AI can be used both within digital products and as augmented tooling for product teams
• How to make informed prioritisation and investment decisions related to AI
• How to strategically use the freed capacity of its workforce

Objective

• The objective of this engagement is to design and deliver a "live", decision-oriented visual framework that:
• Works explicitly with the current Digital Product Development Lifecycle
• Integrates internal knowledge, signals, and existing practices with established industry frameworks and models
• Progresses from the internal starting point that already exists in the team, taking inspiration from general Product Management Standards documents
• Helps stakeholders and leaders prioritise AI use across lifecycle phases
• Clarifies where AI adds value, where it does not, and where human judgement remains essential
• Is attractive, intuitive, and valuable enough that stakeholders actively choose to use it

Scope of Work

Lifecycle-Aligned Framework Design The specialist will design and deliver a framework directly mapped to the existing Digital Product Development Lifecycle, including:

• Problem & Innovation Research
• Product Discovery
• Design & Build / Procure & Configure
• Scale & Improve
• Maintain & Switch

For each lifecycle phase, the framework must articulate:

• Relevant AI opportunities
• Evolution of skills and capabilities needed in each phase
• Approved tooling to use at each phase
• Decision points aligned to lifecycle pivot points
• Considerations related to value, risk, and readiness
• The role of AI as both part of the digital product itself and augmented tooling supporting team workflows

The specialist is expected to:

• Leverage internal insights, experiments, and expert input provided by the organisation
• Draw on relevant external and internal models, frameworks, and best practices from industry
• Translate and adapt these external models so they fit the organisation's R&D context, language, and lifecycle - making them "our own" rather than generic

Primary Deliverable: Lifecycle Overview ("Live Standards Document") Design and deliver a high-impact, executive-ready standards visual/document/tool that:

• Shows how AI considerations map across the full digital product lifecycle
• Reflects both internal priorities and broader industry thinking
• Makes it easier for leaders and stakeholders to align on AI priorities
• Acts as an entry point to deeper lifecycle-specific views

Lifecycle Phase Detail Views

Design repeatable and modular templates for deeper exploration per lifecycle phase, potentially including:

• Illustrative AI use cases informed by internal practice and industry patterns
• Categories of AI capabilities or applications (not technical instructions)
• Decision prompts or guiding questions
• Risks, constraints, and non-recommended uses
• References to curated learning, internal expertise, or relevant external thinking where appropriate

"Live" Tool & Evolution The solution must be designed as a living artefact, rather than a static document. This includes:

• Ease of editing and iteration over time
• Suitability for hosting within internal platforms (e.g. SharePoint or similar)
• Modular structure allowing incremental expansion as internal maturity and industry practices evolve

Minimal ongoing maintenance effort for internal teams is expected. Deliverables The specialist is expected to deliver: 1. AI-Enabled Digital Product Lifecycle - Visual Overview (One-Pager) 2. Lifecycle Phase Detail Design Templates 3. Lightweight Visual / Interaction Design Tool/System to support reuse and evolution 4. Editable Source Files (e.g. Figma or equivalent) Success Criteria

The engagement will be considered successful if the delivered solution:

• Clearly defines a process that works with R&D's existing Digital Product Development Lifecycle
• Effectively combines internal expertise and external industry models into a coherent, organisation-specific framework
• Functions as a "live" tool that is easy to edit, extend, and evolve
• Is compelling and valuable enough that stakeholders want to use it
• Makes it easier for leaders and stakeholders to: - Prioritise AI use in digital products - Decide when AI should augment team workflows - Understand value, risk, and trade-offs across lifecycle phases

Out of Scope

The following are explicitly excluded from this engagement:

• Definition of enterprise-wide AI policy or compliance frameworks
• Technical implementation of AI solutions or tooling
• Tool-specific training or user manuals
• Development of AI software, automation, or bots (unless otherwise part of the concept for delivering the standard)
• Long-term ownership or governance post-handover

Collaboration & Working Model The specialist will collaborate closely with internal stakeholders across Strategic Design and Product Excellence. Internal teams will provide access to existing insights, experiments, and expertise. The specialist is expected to synthesize, not simply document, this input. Work is expected to be hands-on and iterative, with early concepts tested and refined. The engagement assumes direct contribution by the named specialist(s), not delegation to a broader team. Specialist Profile (Indicative)

This engagement is intended for:

• A senior Visual Communication Designer, Interaction Designer, or
• A small specialist pairing combining visual systems and communication design

Relevant experience includes:

• Designing complex frameworks or decision-support tools
• Synthesizing complexity to deliver a simple and readable tool for a diverse audience
• Proven ability to experiment quickly and iteratively, using lightweight prototypes to test and evolve ideas
• Strong, practical experience applying AI directly in their own work to augment thinking, design exploration, and decision-making
• Strong visual storytelling and systems thinking
• Ability to translate industry models into organisation-specific solutions
• Experience working at the intersection of strategy, product, and emerging technology
• Comfort working with ambiguity and evolving strategic intent

Start date: 27-04-2026

End date: 31-10-2026

Location: Denmark preferable, with some days on site in Søborg. Open to near-shore candidates but local candidates will be prioritized.

For the duration of this assignment Ework Services (0,9%) will be deducted from the total amount invoiced.

We offer candidates continuously. This means that we sometimes remove the assignments before deadline. If you are interested, we recommend that you apply immidiately.