Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
Are you a collaborative leader looking for an opportunity to lead a top-tier team at Thermo Fisher Scientific Inc.? Join us as an IT Manager, Data Platforms and deliver groundbreaking data science solutions that align with our ambitious business goals.
Key Responsibilities:
Leadership & Coordination:
- Guide project delivery teams, ensuring flawless adherence to software delivery processes and standards.
- Provide informal leadership and IT solutions for Innovation, NPI, and PMO projects.
Collaboration:
- Partner with Architecture, Application Management Services, Product Owners, and Vendors to select products and align with business strategies.
- Engage actively with Division IT leadership, contributing to IT group thought leadership.
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Governance & Documentation:
- Lead governance models, financials, and approvals across project lifecycles.
- Participate in the Annual Operating Plan (AOP) process to align with business and IT initiatives.
Business and Client Engagement:
- Establish relationships with business and client collaborators, leading communication in Steering Committee meetings.
- Provide IT strategic leadership for CTD business objectives.
Vendor & Financial Management:
- Manage vendor relations, contracts, and project closures.
- Lead IT initiatives supporting regional goals.
Quality Assurance:
- Ensure solutions meet quality standards through comprehensive testing and deployment.
- Adhere strictly to quality procedures and policies.
Continuous Improvement:
- Find opportunities for automation and process improvement.
- Innovate in business processes and technical solution delivery.
Strategic Alignment:
- Align technology with strategic business directions.
- Maintain 5-year technology roadmaps for STRAP.
Communication & Relationship Management:
- Act as a trusted advisor for technology to PSG Group and Division IT leadership.
- Communicate business management's technology needs to the Group/Division.
General Qualifications:
- Self-motivated, able to work autonomously in a fast-paced environment.
- Strong communication skills (written, verbal, and presentation).
- Good understanding of digital supply chain in a service operations model.
- Experience in large IT departments and leading matrix teams.
Education & Experience:
- Advanced degree in business or technology (MBA preferred).
- Minimum of eight to twelve years of related experience, including five years at the management level.
Technical Expertise:
- Proficiency in new and emerging data science fields, project management, and product management.
- Experience with Natural Language Processing solutions, LLMs, and machine learning.
- Understanding of algorithms underpinning statistical models.
Skills:
- Ability to influence at all levels of the organization.
- Proven track record in agile development environments.
- Strong compassion with end user experience and customer-centric approach.
- Excellent communicator with a strategic approach and analytical thinking.
- Proven ability to attract and develop top talent and lead teams effectively.
Travel up to 10%