ASPIRE Global Service Centre â AI and Automation Lead
ASPIRE Global Service Centre â AI and Automation Lead
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Job Description
- Onsite role India Delivery Centre / Belfast / Dublin
- Full time position 3-5 days per week in office (not shift)
- Department: ASPIRE Managed Services
- Practice: Services Reliability Group
- Vetting Requirements: N/A
Role Summary:
Our ASPIRE Global Service Centre is the central hub of our Service Management operations. Beyond a traditional Service Desk it stands as the central authority and shared service delivery hub orchestrating all operational workflows processes procedures and tooling. Its a core delivery component of the Version 1 ASPIRE Managed Services offering that places AI continuous improvement and business innovation at the heart of everything Version 1 does. With a focus on supporting self-service and automation we utilise the best digital capabilities of the ServiceNow ITSM tooling product to provide the very best Experience to our Customers.
We are seeking an experienced and results-driven AI and Automation Lead who will be responsible for driving the strategic implementation and operational excellence of automation and artificial intelligence initiatives for ASPIRE Managed Services.
This role leads the identification design and deployment of intelligent automation solutions to improve operational efficiency and productivity enhance decision making scale operations and deliver a competitive advantage in the market.
Key Responsibilities:
- Develop and execute the ASPIRE Managed Services automation and AI strategy aligned with SRG and EA Practice goals
- Identify opportunities for AI and automation across all Managed Service functions tooling and processes
- Champion a culture of innovation and continuous improvement through emerging technologies
- Lead end-to-end delivery of automation and AI projects including planning development testing deployment and monitoring
- Establish governance frameworks and best practices for AI and automation initiatives
- Oversee the design and implementation of AI models RPA (Robotic Process Automation) and intelligent workflows
- Ensure solutions are scalable secure and compliant with data privacy and ethical standards
- Evaluate and select appropriate tools platforms and vendors
- Collaborate with business units to understand pain points and co-create solutions
- Communicate complex technical concepts to non-technical stakeholders
- Monitor performance and continuously optimise solutions.
- Delivery of measurable business value through automation and AI
- Development of internal capabilities and knowledge sharing across teams
Qualifications :
Skills Education & Qualifications:
- Proven experience (5 years ) leading automation and AI projects in a complex multi-client or enterprise-scale managed services environment with demonstrable delivery of measurable business outcomes
- Strong technical expertise in Artificial Intelligence and Machine Learning including:
- Supervised/unsupervised learning deep learning and natural language processing (NLP)
- Model development using frameworks such as TensorFlow PyTorch or scikit-learn
- Experience deploying AI models in production environments using MLOps principles (e.g. MLflow Azure ML SageMaker).
- Hands-on experience with automation and orchestration technologies such as:
- Robotic Process Automation (RPA) platforms: UiPath Blue Prism Automation Anywhere
- IT process automation (ITPA) tools: ServiceNow Workflow/Orchestration Microsoft Power Automate Ansible Terraform
- Integration using APIs and event-driven architectures (e.g. Kafka Azure Event Grid)
- Proficiency in cloud-native AI and automation services in one of or more of public cloud platforms:
- Azure (Cognitive Services Synapse Logic Apps Azure OpenAI)
- AWS (SageMaker Lambda Textract Step Functions)
- GCP (Vertex AI AutoML Cloud Functions)
- Strong project delivery experience using modern methodologies:
- Agile/Scrum and DevOps for iterative development and deployment
- CI/CD pipeline integration for automation and ML model lifecycle management
- Use of tools like Git Jenkins and Azure DevOps
- In-depth knowledge of data architecture governance and AI ethics including:
- Data privacy and security principles (e.g. GDPR ISO 27001)
- Responsible AI practices: bias detection explainability (e.g. SHAP LIME) model drift monitoring
- Excellent stakeholder engagement and communication skills with the ability to:
- Translate complex AI and automation concepts into business value
- Influence cross-functional teams and executive leadership
- Promote a culture of innovation experimentation and continuous learning
- Excellent leadership and team management skills
- Strong communication interpersonal and problem-solving abilities
- Strategic thinking and decision-making
- Adaptability to evolving technologies and processes
- Bachelors degree in Computer Science Information Technology or a related field or equivalent experience
Additional Information :
At Version 1 we believe in providing our employees with a comprehensive benefits package that prioritises their well-being professional growth and financial stability.
One of our standout advantages is the ability to work with a hybrid schedule along with business travel allowing our employees to strike a balance between work and life.
We prioritise the health and safety of our employees providing private medical and life insurance coverage as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations including AWS Microsoft Oracle and Red Hat.
Our employee-designed Profit Share scheme divides a portion of our companys profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential offering Pathways Career Development Quarterly a programme designed to support professional growth.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
