Sr. Manager, IT

Thermo Fisher Scientific • Carlsbad, CA

1d

About The Position

As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. DESCRIPTION: How you will make an impact This Senior Manager role leads Data Governance implementation and is central to advancing the enterprise data governance strategy. The role partners directly with business leaders to operationalize governance practices that ensure enterprise data is trusted, well-managed, and ready to support AI. This role serves as a strategic partner to business and technology leaders, helping translate data governance principles into practical capabilities embedded within day-to-day operations and strategic initiatives. The position focuses on enabling business data owners and data stewards to successfully implement governance practices that improve data quality, transparency, and accountability across the organization. Success in this role requires balancing governance theory with pragmatic implementation—meeting teams where they are in their data maturity journey while steadily advancing enterprise data management capabilities. This role will engage stakeholders across all levels of the organization, including senior leadership and Vice President–level stakeholders, to influence adoption of data governance practices that support enterprise analytics, digital transformation, and AI initiatives. Key areas of impact include: Enabling business teams to implement sustainable data governance capabilities and stewardship models Ensuring enterprise data assets are reliable, well-defined, and suitable for analytics and AI Driving adoption of governance practices that improve data quality, transparency, and accountability Advancing enterprise data culture, literacy, and stewardship across the business What you will do Strategic Governance Enablement Partner with business leaders, data owners, and data stewards to implement data governance capabilities that support strategic business initiatives and enterprise data programs. Translate enterprise data governance frameworks into practical processes and operating models that can be adopted within business functions. Guide stakeholders in implementing governance practices including data ownership, stewardship roles, data definitions, and data quality management. Ensure governance capabilities are embedded into major initiatives involving enterprise data platforms, analytics, and AI solutions. Support the development of governance operating models that enable federated ownership while maintaining enterprise standards. Stakeholder Engagement and Influence Build trusted partnerships with business leaders, analytics teams, data platform teams, and technology organizations to promote adoption of governance practices. Educate stakeholders on the value of data governance and how trusted data enables better decision making, operational efficiency, and innovation. Engage with leaders across the organization—including senior directors and vice presidents—to align governance initiatives with strategic priorities. Influence stakeholders without formal authority to drive adoption of governance practices and stewardship responsibilities. Act as a trusted advisor to business leaders navigating data challenges related to analytics, reporting, and AI initiatives. Data Governance Capability Implementation Collaborate with business and technology teams to implement core data governance capabilities, including: Business data definitions and standardized data terminology Data ownership and stewardship models Data quality monitoring and dashboards Data issue identification and resolution processes Metadata management and data catalog adoption Help business stakeholders integrate governance practices into operational workflows and decision-making processes. Ensure governance capabilities support scalable data management and improved data reuse across the organization. Data Quality and Data Culture Partner with stakeholders to identify data risks, quality gaps, and process improvement opportunities that impact business performance. Support the design and implementation of data quality checks, monitoring processes, and remediation workflows. Promote a culture in which data is treated as a strategic enterprise asset. Serve as a data governance champion and change agent, helping teams understand both the importance and practical benefits of effective data governance. Change Leadership and Continuous Improvement Drive adoption of data governance through coaching, training, and practical implementation support. Share best practices across the organization related to successful governance implementation and stewardship practices. Identify organizational barriers to effective data governance and work collaboratively to develop practical solutions. Continuously evolve governance approaches to meet the needs of a complex, federated enterprise environment.

Requirements

• Bachelor's degree required; Master's degree or MBA preferred. Preferred fields include Business, Information Systems, Data Science, Engineering, or related disciplines.
• Minimum 7–10 years of experience in data governance, enterprise data management, analytics programs, or large-scale data initiatives.
• Experience working directly with business leaders to implement data governance and data quality capabilities.
• Demonstrated success leading organizational change initiatives related to data management or analytics programs.
• Experience operating within complex, federated enterprise environments.
• Strong understanding of data governance principles, stewardship models, and data lifecycle management.
• Ability to translate governance frameworks into practical, adaptable solutions for business teams.
• Exceptional stakeholder engagement and influencing skills, with the ability to build credibility with senior leaders.
• Strong communication and presentation skills with the ability to explain complex data concepts to non-technical audiences.
• Proven ability to influence outcomes and drive alignment without direct authority.
• Strong program and project management skills, including prioritization and problem solving.
• Ability to manage multiple initiatives simultaneously in a fast-paced environment.
• Demonstrated integrity, professionalism, and commitment to organizational success.

Nice To Haves

• Experience supporting data initiatives related to enterprise data platforms, analytics, or AI programs preferred.
• Industry experience in Life Sciences, Biotechnology, Pharmaceutical, Healthcare, Manufacturing, or regulated industries preferred.

Responsibilities

• Partner with business leaders, data owners, and data stewards to implement data governance capabilities that support strategic business initiatives and enterprise data programs.
• Translate enterprise data governance frameworks into practical processes and operating models that can be adopted within business functions.
• Guide stakeholders in implementing governance practices including data ownership, stewardship roles, data definitions, and data quality management.
• Ensure governance capabilities are embedded into major initiatives involving enterprise data platforms, analytics, and AI solutions.
• Support the development of governance operating models that enable federated ownership while maintaining enterprise standards.
• Build trusted partnerships with business leaders, analytics teams, data platform teams, and technology organizations to promote adoption of governance practices.
• Educate stakeholders on the value of data governance and how trusted data enables better decision making, operational efficiency, and innovation.
• Engage with leaders across the organization—including senior directors and vice presidents—to align governance initiatives with strategic priorities.
• Influence stakeholders without formal authority to drive adoption of governance practices and stewardship responsibilities.
• Act as a trusted advisor to business leaders navigating data challenges related to analytics, reporting, and AI initiatives.
• Collaborate with business and technology teams to implement core data governance capabilities, including: Business data definitions and standardized data terminology Data ownership and stewardship models Data quality monitoring and dashboards Data issue identification and resolution processes Metadata management and data catalog adoption
• Help business stakeholders integrate governance practices into operational workflows and decision-making processes.
• Ensure governance capabilities support scalable data management and improved data reuse across the organization.
• Partner with stakeholders to identify data risks, quality gaps, and process improvement opportunities that impact business performance.
• Support the design and implementation of data quality checks, monitoring processes, and remediation workflows.
• Promote a culture in which data is treated as a strategic enterprise asset.
• Serve as a data governance champion and change agent, helping teams understand both the importance and practical benefits of effective data governance.
• Drive adoption of data governance through coaching, training, and practical implementation support.
• Share best practices across the organization related to successful governance implementation and stewardship practices.
• Identify organizational barriers to effective data governance and work collaboratively to develop practical solutions.
• Continuously evolve governance approaches to meet the needs of a complex, federated enterprise environment.

Benefits

• A choice of national medical and dental plans, and a national vision plan, including health incentive programs
• Employee assistance and family support programs, including commuter benefits and tuition reimbursement
• At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
• Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
• Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level