Procurement Data Product Manager at Thermo Fisher Scientific

Pittsburgh, Pennsylvania, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Life SciencesIndustries

Requirements

5+ years of experience as a data or business analyst, ideally in a complex, matrixed enterprise environment
Demonstrated ability to lead multi-functional projects using agile methodologies, managing backlogs, facilitating sprint planning, and ensuring timely delivery of high-impact data solutions aligned with business goals
Proven track record of leading data initiatives end-to-end, from requirements gathering to delivery
Solid understanding of enterprise systems and business processes (e.g., ERP, CRM, supply chain platforms, R&D systems)
Experience with procurement data domain is a plus
Proficient in SQL and data modeling for advanced querying and performance optimization
Experience working with large-scale data in warehouse or Lakehouse environments
Hands-on experience with cloud-based data platforms (e.g., AWS, Azure, Databricks)
Proficient in building visualizations and dashboards using tools like Power BI, Tableau, or similar platforms
Awareness of large language models (LLMs) and interest in applying AI/ML tools to enhance analytics
Bachelor’s degree in a technical or quantitative field (e.g., Computer Science, Information Systems, Business Analytics, Engineering, or similar); Master’s degree preferred

Responsibilities

Lead agile scrum teams to deliver data solutions iteratively, including the development and ongoing maintenance of product roadmaps, backlogs, and sprint plans that align with customer priorities and strategic objectives
Analyze and interpret complex datasets to surface trends, find opportunities, and deliver actionable business insights across a variety of functional domains
Collaborate with partners to gather and refine business requirements, ensuring alignment with strategic priorities
Translate business needs into scalable, maintainable technical solutions in partnership with engineering and data management teams
Lead and optimize data and corresponding pipeline/ETL processes to ensure reliable and efficient integration from multiple sources
Build and maintain dashboards, reports, and visualizations using tools like Power BI to communicate insights and monitor key performance indicators
Promote data quality, consistency, and governance standards across analytical work
Find opportunities to incorporate AI and automation into data workflows to improve efficiency and insight delivery

Skills

Power BI

ETL

Agile

Scrum

Data Analytics

Cloud Technologies

Automation

Data Visualization

Data Governance

Data Pipelines

Thermo Fisher Scientific

Provides life sciences products and services

About Thermo Fisher Scientific

Thermo Fisher Scientific offers a variety of products and services that support scientific research and healthcare, including laboratory equipment, reagents, and software solutions. Their products are used in applications like protein biology, real-time PCR, and sequencing, serving clients such as academic institutions and pharmaceutical companies. Unlike competitors, Thermo Fisher emphasizes customer support and education, helping clients optimize their experiments. The company's goal is to be a leading provider of life sciences solutions that contribute to a healthier and safer world.

Waltham, MassachusettsHeadquarters

1956Year Founded

$17MTotal Funding

IPOCompany Stage

Biotechnology, HealthcareIndustries

10,001+Employees

Risks

Increased competition in single-use bioprocessing may impact market share.

Sale of anatomical pathology business could create a temporary product gap.

Investment in miDiagnostics may face regulatory challenges affecting returns.

Differentiation

Thermo Fisher offers a comprehensive range of life sciences products and services.

Their well-known brands include Thermo Scientific, Applied Biosystems, and Invitrogen.

They provide strong customer support and educational resources to optimize client workflows.

Upsides

Expansion of biologics production facility enhances capacity for precision biologics monitoring.

Investment in miDiagnostics aligns with demand for rapid diagnostic solutions in BioPharma.

Collaboration with Mainz Biomed positions them in the growing cancer detection market.

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