Work ScheduleStandard (Mon-Fri)
Environmental ConditionsOffice
Job DescriptionIn this role, you will design and support scalable, data analytical solutions in our Business Operations team as we modernize and evolve our digital supply chain initiatives in the Life Sciences Group. This role will be responsible for designing and leading AI transformation projects that unlock business value and creating models and tools that can quickly scale across the group, while managing an elite team of data engineers and analysts.
The ideal candidate for this transformative role will have strong communications and analytical skills, a deep understanding of supply chain optimization, and proficiency with data analysis tools and methodologies. This is a great opportunity to contribute to the growth of a dynamic organization and make a tangible impact on our operational success.
What will you do?- Lead and scale digital transformation and AI initiatives, from ideation to implementation, that align both predictive analytics and machine learning with business needs.
- Own and drive the end-to-end data and analytics roadmap-partnering with executives to align priorities to business objectives and leading teams through disciplined execution and delivery
- Re-imagine, modernize, and scale the data solutions architecture and reporting suite for faster, more reliable access to insights and efficiency
- Manage and mentor a global team of data engineers, data partners, and data analysts and collaborate to ensure successful project delivery
- Lead a monthly Technology Governance Board to ensure that data analytics projects align to strategy, achieve intake goals, and are not redundant
- Provide hands-on technical support and troubleshooting of data solutions, including investigation of data issues, validation, and load balancing.
- Set standards and best practices for analytics and visualization platforms (including Power BI), ensuring scalable, well-governed, and business-ready insights
- Define analytics engineering direction in alignment with IT platform choices, enabling modern tools such as Databricks, Git-based development, and scalable cloud-native analytics architecture
- Keep abreast of industry trends and best practices in supply chain and operations analytics
How will you get here?Education- Bachelor's or Advanced Degree in Computer Science, Computer Engineering, Mathematics, or related field preferred.
Experience- 8+ years technical engineering experience with top industry tools such as SQL, Python, Data Bricks, GitHub, etc.
- 4+ years of management experience leading analytics teams.
- 4+ years of experience with data engineering, business intelligence (visualization/dashboard/reporting), data science, data analysis, business analysis
- Proven experience modernizing analytics across 10+ ERP systems and consolidating data from traditional data warehouses or lakes into centralized analytical platforms.
- Life Sciences supply chain consulting experience driving large scale transformations is a plus.
- Hands-on experience in data preparation, data gateway, and data warehousing projects.
- Working knowledge of relational database design and data modeling.
- Strong written and verbal communication skills (English).
- Ability to communicate with internal and external customers (including communicating technical information to nontechnical audiences).
Compensation and BenefitsThe salary range estimated for this position based in California is $160,100.00-$240,125.00.
This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:
- 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
For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards
