CRM AI Enablement Manager
Location: Remote - Europe
Ingersoll Rand is a leading provider of mission-critical flow control and compression equipment and associated aftermarket parts, consumables, and services. The company is looking for a strategic, business-driven CRM AI Enablement Manager to lead the identification, prioritization, and scaling of AI capabilities across CRM processes, customer journeys, and commercial operations.
This role acts as a key bridge between Business, CRM Portfolio, CRM IT, Data & Analytics, and Enterprise AI teams, ensuring AI investments translate into measurable business value and sustainable adoption with a strong focus on embedding Generative AI, Copilots, Agentic AI, and intelligent automation into CRM processes.
Responsibilities
AI Strategy & Roadmap
- Define and drive the CRM AI roadmap aligned with business priorities and CRM strategy.
- Identify high-impact use cases across customer journeys and commercial processes.
- Assess emerging AI capabilities and market trends relevant to CRM.
- Recommend investment priorities to maximize business transformation.
AI Opportunity Identification & Prioritization
- Partner with stakeholders across Sales, Service, and Commercial Excellence to identify AI opportunities.
- Lead AI discovery workshops and opportunity assessments.
- Build business cases, demos, define success metrics, and prioritize initiatives based on value, feasibility, and scalability.
- Maintain and govern the CRM AI opportunity portfolio.
Copilot & Agentic AI Enablement
- Drive adoption of AI Copilots, Agent force solutions, and intelligent assistants.
- Define business requirements in collaboration with IT, Data, and AI teams.
- Reimagine CRM processes through AI-assisted and autonomous workflows.
- Monitor usage, effectiveness, and business impact; drive continuous optimization.
AI Delivery Enablement
- Partner with CRM delivery teams, Enterprise AI, and vendors to ensure successful implementation.
- Align business requirements, outcomes, and success metrics across initiatives.
- Manage dependencies, stakeholder engagement, and readiness activities.
- Support deployment of AI-powered capabilities across CRM.
Analytics, Insights & Value Realization
- Own the AI value realization framework.
- Define and track KPIs for AI and CRM performance.
- Analyze productivity gains, operational efficiencies, and customer outcomes.
- Translate insights into actionable recommendations and executive reporting.
AI Governance & Responsible AI
- Establish governance standards for CRM AI initiatives.
- Ensure compliance with data, security, and Responsible AI policies.
- Partner with Legal, Compliance, and Data Governance to mitigate risks.
- Implement monitoring and oversight mechanisms.
Adoption & Change Leadership
- Drive organizational readiness and adoption of AI solutions.
- Define enablement, communication, and training strategies.
- Build AI champion networks and feedback loops.
- Ensure scalable and sustained adoption across the organization.
Basic Qualifications
- Bachelor’s degree in Business, Engineering, Information Systems, Analytics, or related field.
- 5+ years of experience in CRM, Commercial Excellence, Product Management, Analytics, or Digital Transformation.
- Proven track record leading cross-functional initiatives across business, data, and technology.
- Strong understanding of CRM processes including Sales, Service, and Customer Experience.
- Experience developing business cases, roadmaps, and value realization frameworks.
- Familiarity with Generative AI, Copilots, Agentic AI, and enterprise AI solutions.
- Strong analytical mindset and experience with KPI frameworks and executive reporting.
- Excellent stakeholder management and communication skills.
Travel & Work Arrangements
Hybrid
Key Competencies
- Generative AI, Copilots, Agentic AI, intelligent automation, AI governance and adoption.
- CRM analytics, KPI frameworks, dashboarding, executive reporting, data storytelling and performance analysis.
- CRM processes, commercial operations, customer journey management and business case development.
- Strategic thinking, stakeholder management, executive communication, cross-functional collaboration and change management.
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