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Manager Automation & AI
Thermo Fisher Scientific —Remote
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Advisory Partner Solutions Architect
MongoDB —Remote
On the Partners team, this role goes beyond core solution design and includes driving technical strategy with hyperscalers, GSIs, ISVs, and ecosystem partners;…
1d

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Manager Automation & AI

Thermo Fisher Scientific -
Remote

Apply Now

Job details

Full-time
4 hours ago

Qualifications

Azure
Software deployment
AWS
Analysis skills
Project management
APIs
ServiceNow
AI
Leadership
Python
Debugging

Full job description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Incident Management:

Be the primary point of contact for automation incidents.
Assign and follow up on incidents, ensuring timely and effective resolution.
Collaborate hands-on with the incident team to address and resolve issues.
Ensure that all incidents are documented, tracked, and resolved in accordance with established procedures.
SLA-compliant incident handling with root cause analysis and corrective actions.
Daily reporting of:
- Automation runs or Failures (with priority, owner, timestamp)
- Resolution actions & ETA
- Pending items with assigned owner
Monitoring and testing for automation and platform upgrades.
Communication with business users to keep them informed on status, risks, and resolution plans.

Strategy and Optimization:

Develop and implement a strategy to collect and analyze top failure points in automation processes.
Identify optimization opportunities and support the implementation of high-quality fixes to reduce the number of incidents.
Ensure that all fixes are of high quality and do not introduce new issues.
Design and build internal automations to reduce repetitive manual tasks within the support and admin teams.
Provide proof-of-value, track impact (time saved, tickets avoided), and prioritize effort vs. return.
Promote innovation and knowledge sharing among support staff.

Reporting and Communication:

Present daily reports on open items, closed incidents, resolutions, and next steps to ensure stability.
Communicate effectively with internal and external stakeholders to provide updates on incident status and resolution efforts.
Report detailed and insightful automation-related statistics, including program summaries, key performance indicators, and incident trends, to a non-technical audience.
Ensure visibility across all business units on automation performance and plans.
All requests must be managed via ServiceNow.
Eliminate support from chat or email except for emergency escalations.

Collaboration and Leadership:

Work closely with cross-functional teams, including developers, business analysts, and subject matter experts, to understand and resolve complex issues.
Coordinate with the automation operations team to ensure optimal coverage and support for incident resolution.
Mentor and guide team members to adhere to best practices in incident management and resolution.

Enhancement of Existing Automations:

Responsible for performing enhancement work on existing automations, aimed at improving efficiency, reducing failure rates, and optimizing performance. This includes:
- Identifying improvement opportunities based on failure trends, business feedback, and new capabilities.
- Implementing enhancements or refactors to reduce technical debt or adapt automations to evolving application changes.
- Ensuring all enhancement activities are documented, tested, and deployed through a controlled process with clear change tracking.
Enhancement services must be included as part of the overall support scope, not treated as separate change requests or out-of-scope development.
Enhanced automations should follow the same compliance, documentation, and testing rigor as new deployments.

Knowledge, Skills, Abilities

Technical Expertise:

Proficiency in coding, testing, and debugging skills.
Strong analytical and problem-solving capabilities.
Experience with automation tools and technologies, such as UiPath (including Agentic), Power Automate, Python, AI/ML models, and cloud platforms (AWS, Azure, Databricks).
Experience with LLMs , RAG and latest AI Trends and Technologies

Operational Excellence:

Proven experience in managing and resolving automation incidents in high-pressure environments.
Ability to establish KPIs and quantifiable goals for incident management and resolution.
Strong aptitude for adapting and evolving methodologies and procedures to continually improve incident management processes.

Communication and Leadership:

Ability to communicate effectively to a variety of audiences, both internal and external.
Proven experience in delivering results using standard project management techniques and disciplines.
Strong leadership skills with the ability to mentor and guide team members.

Required Experience & Skills:

Extensive experience in managing automation incidents and ensuring high-quality resolutions.
Hands-on experience with automation tools and technologies, including UiPath and AI-based automation.
Strong problem-solving skills with an ability to translate business needs into technical solutions.
Experience working with cloud platforms (AWS, Azure, Databricks) for automation and AI deployment.
Strong knowledge of Python, Power Automate, and APIs for AI and automation integration.

Apply Now

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