Joining Collibra's Talent Management & Development team

AI is fundamentally reshaping how organizations operate. At Collibra, we believe realizing the value of AI requires more than great technology, it depends on how confidently people adopt it and apply it in their everyday work. Building the skills, confidence and mindset to work alongside AI will be critical to how we innovate, collaborate and create value for customers.

We're looking for an AI Enablement Manager who is passionate about helping employees confidently adopt AI and identify practical opportunities to rethink the way work gets done. You'll combine strong hands-on AI experience with coaching, enablement and learning to help employees integrate AI into their workflows and accelerate AI adoption across the business.

Reporting to the Director of Talent Management & Development, you'll lead our AI enablement initiatives, partner closely with Product & Engineering, and help teams identify opportunities to use AI, rethink the way work gets done, and adopt new ways of working.

This is a hybrid role based in our Brussels office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

AI Enablement Managers at Collibra are responsible for

Accelerate AI Adoption

• Lead and design Collibra's AI enablement approach and programs to build AI maturity and accelerate the adoption of AI tools and new ways of working
• Partner with leaders across the business to understand workflows and identify high-value AI and automation opportunities
• Help teams evaluate opportunities based on business impact, feasibility and responsible AI practices
• Build and lead an impactful AI Mentor network that drives AI adoption and surfaces learning needs and opportunities across functions
• Coach leaders, teams and employees to identify AI opportunities, build practical solutions and integrate AI into how work gets done

Learning Experience Design

• Develop and deliver engaging workshops, enablement experiences, self-paced learning and practical guidance tailored to different audiences and skill levels
• Create scalable resources and tools that help employees discover, reuse and build on AI use cases, best practices and learning across the business
• Measure AI maturity and sustainable adoption, and gather business feedback to evaluate and continuously improve our enablement approach
• Continuously evolve enablement approaches by leveraging AI, emerging technologies and learning best practices

Product & Engineering Learning Partnership

• Own and deliver the Product & Engineering onboarding program
• Partner with Product & Engineering leaders to identify learning and enablement priorities, including opportunities to support AI adoption
• Translate enterprise learning initiatives into relevant experiences for technical audiences
• Support Product & Engineering as ways of working and organizational priorities continue to evolve

You have

• Hands-on experience building practical AI solutions, including agents and automated workflows, to solve business problems and improve how work gets done
• Experience assessing business processes and identifying opportunities to improve them through AI and automation
• Exceptional ability to explain technical concepts to non-technical audiences
• Experience coaching others to confidently adopt AI and new ways of working
• Experience facilitating engaging workshops and leading enablement sessions
• Strong project management, stakeholder management and analytical skills

You are

• Passionate about AI and emerging technologies
• Naturally curious and eager to experiment with new tools and ways of working
• An engaging facilitator, coach and communicator
• Comfortable navigating ambiguity and translating ideas into practical solutions.
• Collaborative and skilled at building partnerships across the business
• Organized and able to manage multiple initiatives simultaneously

Measures of success

Within your first 3 months, you will:

• Build trusted relationships across the business and establish yourself as a credible AI coach and advisor to key stakeholders, AI Mentors and Product & Engineering
• Assess Collibra's current AI enablement approach and get sign-off from the People leadership team on a prioritized roadmap.
• Assess and relaunch the AI Mentor network with clear expectations, priorities, resources and ways of working focused on driving AI adoption within each function
• Run your first AI workshops, resulting in clear AI opportunities and next steps
• Take ownership of Product & Engineering onboarding and align with P&E leaders on priority learning and enablement needs, including how you can support their evolving use of AI

Within your first 6 months, you will:

• Build an active AI Mentor network that, with your coaching and support, drives AI adoption and surfaces learning needs and AI opportunities within each function
• Coach teams and functions to identify high-value AI opportunities, build practical AI solutions and embed AI into how work gets done, with at least 5 shipped or piloted working solutions
• Establish scalable ways for employees to discover, reuse and build on AI use cases, best practices and resources across Collibra
• Establish clear success measures and a consistent approach to demonstrating the impact of Collibra's AI enablement investments on a quarterly basis
• Deliver targeted learning and enablement with Product & Engineering that supports evolving ways of working and AI adoption

Within your first 12 months, you will:

• Demonstrate measurable progress in AI maturity across Collibra, with employees progressing to Perform on the AI Maturity Grid and teams using AI to drive meaningful outcomes (such as time saved, quality improved, number of processes automated)
• Be a trusted AI enablement partner across the business, with functions proactively engaging you to identify where AI can create value and build the skills and solutions to realize it
• Lead an AI Mentor network with measurable output, such as number of use cases surfaced, solutions shipped, workshops run, employees coached per quarter