Specialist, AI Productivity & Enablement
As a Specialist in driving productivity, you will be a hands-on enablement partner helping teams across the organisation get the most from low-code platforms, citizen data science tools, and enterprise AI platforms. Working closely with AI Partners and stakeholders, you will be called upon to support specific use cases within the low-code and citizen AI toolkit — helping teams adopt, configure, and use these tools confidently within the guardrails already in place.
Key Responsibilities
Functional Support & Tool Rollout
Provide hands-on support for low-code platforms (e.g., Power Automate, Copilot Studio) and citizen AI tools when engaged by AI Partners or PMs. Support functional rollouts in collaboration with tooling teams, assist with user onboarding, and act as a go-to resource for platform guidance and best practices.
Enablement & Training
Design and deliver practical training sessions and workshops for business teams. Create playbooks, how-to guides, prompt libraries, and reusable templates to drive adoption and build confidence across the organisation.
Light Technical Development
Build and configure low-code solutions, simple automations, and internal copilots. Prototype small-scale solutions before broader rollout and translate business needs into clear briefs when escalation to Engineering or Data teams is required. Development scope is low-code only.
Value Identification & Tracking
Take ownership of identifying, documenting, and tracking the value delivered through low-code and citizen AI initiatives. Work with AI Partners and stakeholders to define success metrics upfront, monitor outcomes over time, and communicate impact in business terms. Ensure that value realisation is a consistent part of the delivery lifecycle, not an afterthought.
Required Qualifications
2+ years in digital enablement, business analysis, low-code development, or AI adoption.
Hands-on experience with Power Automate, Copilot Studio, or similar low-code platforms.
Practical understanding of LLMs, prompt engineering, and enterprise AI tools.
Experience delivering training or enablement content to non-technical audiences.
Strong communication skills across teams at varying levels of technical familiarity.
Preferred Qualifications
Familiarity with citizen data science tools and concepts.
Awareness of AI governance and data compliance in an enterprise setting.
Ability to create engaging learning content such as videos or microlearning modules.
Did we get your attention?
We hope you got all your questions answered and feel confident applying for this position. If you see yourself in the position and would like to become a part of Pandora’s future, please do not hesitate to apply. We look forward to hearing from you!
We process applications on a continuous basis, which is why we encourage you to send your application as soon as possible. You can also read more about Pandora on our corporate site www.pandoragroup.com.
About Pandora
Pandora is the world's largest jewellery brand, specialising in the design, crafting and marketing of accessible luxury jewellery made from high-quality materials. Each piece is created to inspire self-expression, allowing people to share their stories and passions through meaningful jewellery. Pandora jewellery is sold in more than 100 countries through 7,000 points of sale, including more than 2,800 concept stores.
Headquartered in Copenhagen, Denmark, Pandora employs around 39,000 people worldwide and crafts its jewellery with 100% recycled silver and gold. Pandora is committed to leadership in sustainability and has set out to halve greenhouse gas emissions across its value chain by 2030. Pandora is listed on the Nasdaq Copenhagen stock exchange and generated revenue of DKK 32.5 billion (EUR 4.4 billion) in 2025.
