Fast Facts

Degreed is seeking an Implementation Consultant to lead enterprise and strategic customer implementations across North America and western Europe. This remote role requires strong consultative skills and expertise in learning technologies to ensure successful deployments of Degreed solutions.

Responsibilities: Key responsibilities include leading end-to-end SaaS implementations, defining implementation roadmaps, designing scalable platform configurations, facilitating discovery workshops, and providing strategic guidance on learning transformation and change management.

Skills: Required skills include project leadership, consultative expertise, SaaS implementation experience, understanding of learning ecosystems, and strong communication capabilities. Experience with AI-enabled features is also crucial.

Qualifications: Preferred qualifications include experience with Degreed or similar platforms, background in Learning & Development strategy, and familiarity with enterprise data integrations and AI solutions.

Location: This position is remote based in the US with no additional travel required.

Compensation: Not provided by employer. Typical compensation ranges for this position are between $90,000 - $130,000.

Degreed is seeking an experienced Implementation Consultant to lead enterprise and strategic customer implementations across the NAMER region and western Europe. 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 the Revenue, Product, Engineering, and Support teams 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

• Strategic, client-facing consultant who thrives in complex, enterprise environments — comfortable leading executive conversations while managing detailed project execution
• Skilled at translating business goals into technical and functional platform solutions across multi-workstream engagements
• 5+ years of experience leading enterprise SaaS implementations or consulting engagements, with 3+ years working directly with enterprise clients in a Professional Services or Implementation capacity
• Strong understanding of learning ecosystems (LMS, LXP, content providers, skills platforms, HRIS) and a genuine passion for learning transformation, skills development, and innovation
• Curious and forward-thinking about AI, with the ability to translate AI capabilities into practical, business-aligned use cases
• Experienced implementing AI-enabled SaaS features, including defining use cases, measurable success criteria, and applying effective prompting techniques
• Confident facilitating conversations around AI adoption, governance, and responsible implementation within enterprise environments
• Solid experience with SaaS configuration, integrations, SSO, and data workflows
• Highly organized and proactive, with strong risk management instincts and demonstrated ability to manage scope and stakeholder expectations
• Adaptable and resourceful in fast-paced, evolving SaaS environments
• Excellent facilitation, presentation, and executive communication skills
• Strong project management capabilities — PMP, PRINCE2, or Agile certifications a plus
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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 North American and Latin American markets
• Multilingual capabilities

Key Responsibilities

• Lead end-to-end SaaS implementations from kickoff through go-live for mid-market, enterprise, and strategic customers
• Partner with client stakeholders to define implementation roadmaps aligned to business objectives, learning strategy, and success metrics
• Design scalable platform configurations across Degreed components — 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; guide clients on effective AI configuration best practices to drive high-quality outputs and meaningful learner experiences
• Partner with customers to define guardrails, governance, and change management approaches for responsible AI adoption
• Develop and manage detailed project plans, timelines, milestones, and risk mitigation strategies — including scope, dependencies, and change requests throughout the implementation lifecycle
• Drive cross-functional alignment across Implementation, Technical Consultants, Client Success, Product, and Engineering teams
• Provide strategic guidance on learning transformation, change management, adoption planning, and stakeholder engagement
• Support integration planning including SSO, HRIS feeds, content integrations, API workflows, and AI data dependencies
• 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
• Identify opportunities for expanded services and platform adoption in partnership with the Revenue team
• Conduct project retrospectives, document lessons learned, and contribute to internal asset development based on implementation findings

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.