Job description 

• Responsible for leading a team of automation engineers that includes SLA alignment, incident/problem management, design, development, testing, root cause analysis, bugfixes, improvements, financial cost management.
• Responsible for developing roadmaps and design automation technologies to align with business needs; Seek and build relationships to enhance delivery and better understand, identify and work through issues.
• Creating Business Case and ROI for the target opportunities for Automation.
• Lead research and prototyping new Automation Capabilities; collaborate across business and technical teams to support key business programs & initiatives.
• Lead governance process to ensure automation quality by adhering to methodology, SDLC, Design & Code standards, security and compliance policies.
• Vendor/Partner Management - Manage relationships with Automation tool vendors, partners including licensing, updates, and support.
• Coordinate and manage the overall automation pipeline, ensuring that projects are on track and resources are allocated appropriately.
• Manage customer issues, and provide effective remediation in a timely manner; communicating out status, performance metrics to customers at all levels of the organization.
• Responsible for operational support & architecture optimizations through automation.
• Drive continuous improvement across platform and products through automation, measurements, and standard processes,
• Provide technical direction on design considerations, including performance, scalability, maintainability, and traceability.
• Partner with the Business Process Owner (s) and Process SMEs to develop a deep end-to-end understanding of processes targeted for automation and outline the impacted processes and business requirements including non-functional requirements such as security, capacity performance and availability.
• Coordinate with the business and the Automation team to identify and provide support for solution designs for production issues and enhancements.
• Identify scope, benefits, constraints, and risks for Automation initiatives; capture and document current state manual processes including data flows.
• Consider change management implications for implementation of new processes for Automation.
• Deliver key business analysis artifacts, using best practices and tools, for the design, solution and execution of medium and large projects.
• Act as a liaison between business and technical resources
• Help design, document and maintain system processes.

Essential Job Functions (state in 5-7 bullets the core accountabilities, from job catalog)

• Provide governance and ensure that designs, prototypes, and solutions meet technical standards, framework and guidelines.
• Deliver solutions in alignment with standard while meeting quality, performance, security, compliance requirements.
• Work with Conversational AI / Bot technical teams and business partners to design, develop and maintain Bots. Includes software architecting and development outside of Bot platforms.
• Vendor/Partner Management - Manage relationships with Automation tool vendors, partners including licensing, updates, and support.
• Create accurate development effort estimates in collaboration platform provider
• Work with Product owner, Scrum master to drive user story creation and epics for bots.
• Present and demonstrate proposed solutions as required.
• User Access, Change, Incident and Release management
• Audit & Reporting of platform
• Support setup, integrations and continuous improvement on the platforms involved.
• A team player that is willing to learn and adapt in a high pace delivery environment.
• Maintain up to date knowledge of industry trends and developments in areas including generative AI, RPA, process mining, etc

Standard Minimimum Requirements

• Education: Bachelor's degree in computer science, data analytics, or a related field (or equivalent experience).
• Experience: 10+ years of applicable IT Experience
  • Minimum 10 years of related experience in automation, business analysis, data & analytics,
  • Proficiency in natural language processing (NLP), Generative AI/ChatGPT and machine learning concepts.
  • Strong analytical skills and the ability to work with data.
  • Experience with chatbot development platforms and tools.
  • Knowledge of programming languages (e.g., Python) may be beneficial.
  • Excellent communication skills to gather user feedback and interact with developers and users.
  • Problem-solving skills and the ability to adapt to changing chatbot needs.
  • Familiarity with AI and chatbot industry trends and best practices

Language

The ability to fluently read, write, understand, and communicate in English.

• Good Coordination, Presentation and Communication skills
• Experience in performing opportunity assessment to identify use cases for Chatbots
• Experienced working with global business stakeholders and multiple IT teams.
• Ability to understand business processes and help optimize processes for efficiency.
• Experience with specific chatbot platforms (e.g., Dialogflow, Aisera, Microsoft Bot Framework, IBM Watson Assistant).
• Certification in AI, machine learning, or chatbot development.
• Experience with life sciences, health care or medical device industry
• Continuous learning attitude of the emerging technology trends and instituting innovative thinking/approach throughout the organization.
• Substantial skills in the platform technologies in their domain, sufficient to drive technical solutioning with the ability to effectively engage with engineers to make decisions on technical trade-offs.
• Contributes with ideas that challenge thinking and standardize processes.
• Strong problem-solving skills with ability of accurately analyze situations and reach productive decisions based on informed judgment.
• Strong collaboration skills for effective communication across multiple teams and stakeholders, both internal and external
• Data savvy individual with hands on experience in preparing, analyzing and deriving insights from data
• Ability to understand and apply practices and patterns related to data access, integrations, security, and privacy/GDPR
• Knowledge of enterprise data management concepts, principles, and practices as related to master data, reference data, and/or metadata as well as data governance.
• Experience in working as part of Agile teams and using agile and collaboration tools like Jira, Confluence
• Ability to work independently and as part of a team with strong collaboration skills
• Data savvy, problem solver
• High learning agility