Implementation Consultant
Degreed is seeking an experienced Implementation Consultant to lead enterprise and strategic customer implementations across the EMEA region. This role is responsible for guiding customers from post-sale through launch, ensuring a seamless, high-quality deployment of Degreed solutions including Degreed Learning, Skills+, Maestro, Academies, and AI-powered platform experiences.
The Implementation Consultant serves as a trusted advisor, solution architect, and project leader partnering closely with customer stakeholders to translate business and learning objectives into scalable, impactful platform configurations. This role collaborates cross-functionally with Sales, Client Success, Product, Engineering, and Support to deliver successful outcomes and long-term value.
This position requires strong consultative skills, project leadership experience, learning technology expertise, and the ability to manage complex, multi-workstream enterprise implementations, including AI-enabled capabilities.
Key Skills
5+ years of experience leading enterprise SaaS implementations or consulting engagements, including 3+ years working directly with enterprise-level clients in a Professional Services or Implementation capacity.
Experience managing multi-workstream projects across technical, functional, and business stakeholders.
Strong understanding of learning ecosystems (LMS, LXP, content providers, skills platforms, HRIS systems).
Experience implementing or configuring AI-enabled SaaS features, including defining use cases, measurable success criteria, effective prompting techniques, and responsible AI governance considerations within enterprise environments.
Experience with SaaS configuration, integrations, SSO, and data workflows.
Strong project management capabilities with demonstrated ability to manage risk, scope, and stakeholder expectations (PMP, PRINCE2, Agile certifications a plus).
Excellent facilitation, presentation, and executive communication skills.
Strategic, client-facing consultant who thrives in complex, enterprise environments, skilled at translating business goals into technical and functional platform solutions while leading executive conversations and managing detailed project execution.
Curious and forward-thinking about AI, with the ability to translate AI capabilities into practical, business-aligned use cases and confidently facilitate conversations around AI adoption, governance, and responsible implementation.
Highly organized and proactive, with strong risk management instincts and adaptable in fast-paced, evolving SaaS environments.
Passionate about learning transformation, skills development, and innovation.
Nice-to-Have Skills
Experience implementing Degreed or similar learning experience platforms.
Background in Learning & Development strategy or organizational change initiatives.
Familiarity with HR technology ecosystems and enterprise data integrations.
Experience delivering AI-enabled learning or skills solutions.
Experience delivering implementations in EMEA markets.
Multilingual capabilities.
Key Responsibilities
Lead end-to-end SaaS implementations from project kickoff through go-live for mid-market, enterprise, and strategic customers, developing and managing detailed project plans, timelines, milestones, and risk mitigation strategies.
Partner with client stakeholders to define implementation roadmaps aligned to business objectives, learning strategy, and success metrics, providing strategic guidance on learning transformation, change management, adoption planning, and stakeholder engagement.
Design scalable platform configurations across Degreed components, including skills frameworks, pathways, content strategy, governance models, integrations, and AI-enabled experiences.
Facilitate discovery workshops to define AI use cases, value hypotheses, and measurable outcomes, guiding clients in effective AI configuration best practices and defining guardrails, governance, and change management approaches for responsible AI adoption.
Support integration planning including SSO, HRIS feeds, content integrations, API workflows, and AI data dependencies.
Drive cross-functional alignment across Implementation, Technical Consultants, Client Success, Product, and Engineering teams, managing project scope, risks, dependencies, and change requests throughout the implementation lifecycle.
Lead client enablement sessions and administrator training, including AI feature configuration and practical use case execution.
Monitor implementation health, track success metrics, and ensure launch readiness, identifying opportunities for expanded services or additional platform adoption in partnership with Sales and Client Success.
Conduct project retrospectives and document lessons learned to enhance delivery excellence.
Compensation
We are committed to fair and equitable compensation practices. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to: skill set, depth of experience, certifications, specific work location, and internal equity.
About the job
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Implementation Consultant
Degreed is seeking an experienced Implementation Consultant to lead enterprise and strategic customer implementations across the EMEA region. This role is responsible for guiding customers from post-sale through launch, ensuring a seamless, high-quality deployment of Degreed solutions including Degreed Learning, Skills+, Maestro, Academies, and AI-powered platform experiences.
The Implementation Consultant serves as a trusted advisor, solution architect, and project leader partnering closely with customer stakeholders to translate business and learning objectives into scalable, impactful platform configurations. This role collaborates cross-functionally with Sales, Client Success, Product, Engineering, and Support to deliver successful outcomes and long-term value.
This position requires strong consultative skills, project leadership experience, learning technology expertise, and the ability to manage complex, multi-workstream enterprise implementations, including AI-enabled capabilities.
Key Skills
5+ years of experience leading enterprise SaaS implementations or consulting engagements, including 3+ years working directly with enterprise-level clients in a Professional Services or Implementation capacity.
Experience managing multi-workstream projects across technical, functional, and business stakeholders.
Strong understanding of learning ecosystems (LMS, LXP, content providers, skills platforms, HRIS systems).
Experience implementing or configuring AI-enabled SaaS features, including defining use cases, measurable success criteria, effective prompting techniques, and responsible AI governance considerations within enterprise environments.
Experience with SaaS configuration, integrations, SSO, and data workflows.
Strong project management capabilities with demonstrated ability to manage risk, scope, and stakeholder expectations (PMP, PRINCE2, Agile certifications a plus).
Excellent facilitation, presentation, and executive communication skills.
Strategic, client-facing consultant who thrives in complex, enterprise environments, skilled at translating business goals into technical and functional platform solutions while leading executive conversations and managing detailed project execution.
Curious and forward-thinking about AI, with the ability to translate AI capabilities into practical, business-aligned use cases and confidently facilitate conversations around AI adoption, governance, and responsible implementation.
Highly organized and proactive, with strong risk management instincts and adaptable in fast-paced, evolving SaaS environments.
Passionate about learning transformation, skills development, and innovation.
Nice-to-Have Skills
Experience implementing Degreed or similar learning experience platforms.
Background in Learning & Development strategy or organizational change initiatives.
Familiarity with HR technology ecosystems and enterprise data integrations.
Experience delivering AI-enabled learning or skills solutions.
Experience delivering implementations in EMEA markets.
Multilingual capabilities.
Key Responsibilities
Lead end-to-end SaaS implementations from project kickoff through go-live for mid-market, enterprise, and strategic customers, developing and managing detailed project plans, timelines, milestones, and risk mitigation strategies.
Partner with client stakeholders to define implementation roadmaps aligned to business objectives, learning strategy, and success metrics, providing strategic guidance on learning transformation, change management, adoption planning, and stakeholder engagement.
Design scalable platform configurations across Degreed components, including skills frameworks, pathways, content strategy, governance models, integrations, and AI-enabled experiences.
Facilitate discovery workshops to define AI use cases, value hypotheses, and measurable outcomes, guiding clients in effective AI configuration best practices and defining guardrails, governance, and change management approaches for responsible AI adoption.
Support integration planning including SSO, HRIS feeds, content integrations, API workflows, and AI data dependencies.
Drive cross-functional alignment across Implementation, Technical Consultants, Client Success, Product, and Engineering teams, managing project scope, risks, dependencies, and change requests throughout the implementation lifecycle.
Lead client enablement sessions and administrator training, including AI feature configuration and practical use case execution.
Monitor implementation health, track success metrics, and ensure launch readiness, identifying opportunities for expanded services or additional platform adoption in partnership with Sales and Client Success.
Conduct project retrospectives and document lessons learned to enhance delivery excellence.
Compensation
We are committed to fair and equitable compensation practices. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to: skill set, depth of experience, certifications, specific work location, and internal equity.