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CRM AI Enablement Manager

Job in Redditch, Worcestershire, B97, England, UK
Listing for: Ingersoll Rand Compressor Systems & Services
Full Time position
Listed on 2026-08-09
Job specializations:
  • IT/Tech
    CRM Systems & Management, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 50000 - 78000 GBP Yearly GBP 50000.00 78000.00 YEAR
Job Description & How to Apply Below

About Us

Ingersoll Rand is a leading provider of mission-critical flow control and compression equipment and associated aftermarket parts, consumables, and services, which it sells across multiple attractive end-markets within various industries. Its broad and complete range of compressor, vacuum and blower products and services, along with its application expertise and over 160 years of engineering heritage, allows Ingersoll Rand to provide differentiated product and service offerings for its customers' specific uses.

Job

Title

CRM AI Enablement Manager

Location

Redditch

About Us

Ingersoll Rand is a leading provider of mission-critical flow control and compression equipment and associated aftermarket parts, consumables, and services, which it sells across multiple attractive end-markets within various industries. Its broad and complete range of compressor, vacuum and blower products and services, along with its application expertise and over 160 years of engineering heritage, allows Ingersoll Rand to provide differentiated product and service offerings for its customers' specific uses.

Job Summary

We are 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…
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