(UK) AI Integration Lead (Customer Success) - #1691382
Avatar Recruitment
Date: 6 hours ago
City: Manchester
Contract type: Full time
Work schedule: Full day
Short Description
Our client is looking for a dynamic AI Integration Customer Success Lead candidate to join their Team
Bullet Points
This is a hybrid/remote role, based on commutable distance to Manchester
A competative salary of £115K negotiable
5+ years of experience in AI, machine learning, or data science roles
Benefit from a hybrid working arrangement if you live within 80 miles to the office in Manchester, or work fully remote if you live further afield, with occasional visits to the office or to customers.About the role:The AI Customer Success Lead is responsible for leveraging AI to enhance the customer journey and improve internal efficiencies across the company. This role will focus on using AI to proactively resolve customer inquiries, streamline support processes, and drive commercial improvement. The AI Customer Success Lead will play a crucial role in defining strategies for AI integration within customer success operations, ensuring that AI technologies are utilized to optimize customer experiences and operational productivity. Key Responsibilities
Lead the integration of AI technologies into customer success operations
Develop and implement AI-driven solutions to proactively resolve customer inquiries
Define strategies for using AI to enhance internal efficiencies and streamline support processes
Collaborate with cross-functional teams to translate AI insights into business value
Mentor and lead a team focused on AI-driven customer success initiatives
Drive commercial improvement through AI-enhanced customer journey strategies
Essential Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Business Administration, or a related field. PhD in a relevant field is a plus
Essential Experience
5+ years of experience in AI, machine learning, or data science roles, with a focus on customer success or support
Proven track record of driving operational improvements and cost reductions within a software organization
Experience in leading and mentoring teams focused on AI initiatives
Familiarity with customer success operations and commercial improvement strategies
Skills and Knowledge
Proficiency in programming languages such as Python, R, or Java
Deep understanding of machine learning, deep learning, and other AI techniques
Experience with AI-driven customer support tools and frameworks
Strong knowledge of cloud computing platforms and MLOps practices
Core Competencies
Customer Centricity
Engaged communication
Organizational Governance
Values and Ethics
Personal Growth and Development
Connecting & Collaborating
Perseverance
Results and Goal orientated
Time management
Quality mindset
Innate Competencies
Growth Mindset
Courageous
Adaptability
Decisiveness
Stress Tolerance
Resilience
Emotional Maturity
Accountability
Inclusivity & Diversity mindset
Energy
Functional & Leadership Competencies
Problem-solving
Critical and Analytical thinking
Planning and Organizing
Innovative thinking
Financial Acumen
Negotiation and persuasion
Systemic thinking
Stakeholder management
Judgement and Decision making
Build and Sustain Culture
Industry & Business Awareness
Planning & Executing
Leading with Strategy
Team & Transformative Leadership
Coaching & Mentoring
Change Leadership
Authenticity
Strategic Leadership and Operational Excellence: Drive operational improvements and cost reductions within the organization. Work across functional teams to drive organizational change in a fast-paced environment.AI and Automation Implementation: Implement modern AI and automation technologies to streamline internal processes. Assess and integrate emerging technologies to drive innovation and competitive advantage
ERP and Manufacturing Domain Knowledge: Leverage ERP systems and manufacturing domain knowledge to optimize processes. Enhance customer experience through data-driven insights.Data-Driven Decision Making: Utilize data to identify trends, measure performance, and drive continuous improvement. Develop and utilize key performance indicators (KPIs) to track progress and ensure alignment with business objectives
Commercial and Partnership: Build and manage internal commercial relationships to improve customer satisfaction. Lead change management initiatives within the organization
Team Leadership and Collaboration: Lead and mentor the team focused on AI-driven customer success initiatives. Foster strong communication and collaboration within cross functional teams.
Our client is looking for a dynamic AI Integration Customer Success Lead candidate to join their Team
Bullet Points
This is a hybrid/remote role, based on commutable distance to Manchester
A competative salary of £115K negotiable
5+ years of experience in AI, machine learning, or data science roles
Benefit from a hybrid working arrangement if you live within 80 miles to the office in Manchester, or work fully remote if you live further afield, with occasional visits to the office or to customers.About the role:The AI Customer Success Lead is responsible for leveraging AI to enhance the customer journey and improve internal efficiencies across the company. This role will focus on using AI to proactively resolve customer inquiries, streamline support processes, and drive commercial improvement. The AI Customer Success Lead will play a crucial role in defining strategies for AI integration within customer success operations, ensuring that AI technologies are utilized to optimize customer experiences and operational productivity. Key Responsibilities
Lead the integration of AI technologies into customer success operations
Develop and implement AI-driven solutions to proactively resolve customer inquiries
Define strategies for using AI to enhance internal efficiencies and streamline support processes
Collaborate with cross-functional teams to translate AI insights into business value
Mentor and lead a team focused on AI-driven customer success initiatives
Drive commercial improvement through AI-enhanced customer journey strategies
Essential Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Business Administration, or a related field. PhD in a relevant field is a plus
Essential Experience
5+ years of experience in AI, machine learning, or data science roles, with a focus on customer success or support
Proven track record of driving operational improvements and cost reductions within a software organization
Experience in leading and mentoring teams focused on AI initiatives
Familiarity with customer success operations and commercial improvement strategies
Skills and Knowledge
Proficiency in programming languages such as Python, R, or Java
Deep understanding of machine learning, deep learning, and other AI techniques
Experience with AI-driven customer support tools and frameworks
Strong knowledge of cloud computing platforms and MLOps practices
Core Competencies
Customer Centricity
Engaged communication
Organizational Governance
Values and Ethics
Personal Growth and Development
Connecting & Collaborating
Perseverance
Results and Goal orientated
Time management
Quality mindset
Innate Competencies
Growth Mindset
Courageous
Adaptability
Decisiveness
Stress Tolerance
Resilience
Emotional Maturity
Accountability
Inclusivity & Diversity mindset
Energy
Functional & Leadership Competencies
Problem-solving
Critical and Analytical thinking
Planning and Organizing
Innovative thinking
Financial Acumen
Negotiation and persuasion
Systemic thinking
Stakeholder management
Judgement and Decision making
Build and Sustain Culture
Industry & Business Awareness
Planning & Executing
Leading with Strategy
Team & Transformative Leadership
Coaching & Mentoring
Change Leadership
Authenticity
Strategic Leadership and Operational Excellence: Drive operational improvements and cost reductions within the organization. Work across functional teams to drive organizational change in a fast-paced environment.AI and Automation Implementation: Implement modern AI and automation technologies to streamline internal processes. Assess and integrate emerging technologies to drive innovation and competitive advantage
ERP and Manufacturing Domain Knowledge: Leverage ERP systems and manufacturing domain knowledge to optimize processes. Enhance customer experience through data-driven insights.Data-Driven Decision Making: Utilize data to identify trends, measure performance, and drive continuous improvement. Develop and utilize key performance indicators (KPIs) to track progress and ensure alignment with business objectives
Commercial and Partnership: Build and manage internal commercial relationships to improve customer satisfaction. Lead change management initiatives within the organization
Team Leadership and Collaboration: Lead and mentor the team focused on AI-driven customer success initiatives. Foster strong communication and collaboration within cross functional teams.
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