Data Product Lead

Data Product Lead

Work Schedule

Standard Office Hours (40/wk)

Environmental Conditions

Office

Job Description

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.

Job Summary

The Senior Platform Engineer is responsible for the design, enhancement, and operational reliability of the Enterprise Harmonization Platform (EHP), a mission-critical data platform supporting enterprise-wide account harmonization and downstream analytics. This role owns end-to-end platform execution—from backend data processing and orchestration to search/indexing and user-facing features—and serves as the technical lead coordinating across engineering, analytics, and data stewardship teams.

Key Responsibilities

• Design, implement, and maintain enhancements to the Enterprise Harmonization Platform, built on Apache Solr, Java-based processing libraries, SQL-driven data transformations, and Jenkins-orchestrated pipelines.
• Develop and optimize backend data processing logic using Java and SQL, including configurable libraries supporting large-scale data harmonization workflows.

• Own execution of scheduled and ad-hoc data processing jobs, including job initiation, monitoring, troubleshooting, and root-cause analysis of failures.
• Ensure platform stability, data integrity, and performance across dependent pipelines and integrations.

• Act as the technical lead for EHP-related development, coordinating with internal engineering and analytics teams when platform changes affect upstream or downstream pipelines.
• Translate platform constraints and opportunities into actionable technical solutions.

• Partner with data stewards to gather and translate functional requirements into technical deliverables, including:
  • UI features and workflow enhancements
  • SQL database views and data access layers
  • Enhanced data processing and validation logic

• Explore and prototype LLM-based agents and intelligent automation to enhance platform operations and data stewardship workflows.

• Communicate technical status and roadmap implications to both technical and non-technical stakeholders.

Required Qualifications

• 7+ years of experience in software engineering or data platform engineering roles.
• Strong proficiency in Java and SQL in production data systems.
• Hands-on experience with job orchestration tools (e.g., Jenkins or equivalent).
• Experience building and supporting search- or index-based systems (e.g., Solr, Elasticsearch, Lucene).
• Proven ability to operate and troubleshoot complex data pipelines end-to-end.
• Experience working directly with business or data users to translate requirements into technical solutions.

Preferred Qualifications

• Experience with enterprise data platforms, master data management, or data harmonization systems.
• Exposure to LLM-based automation, agent design, or applied AI in data workflows.
• Experience acting as a de facto technical lead in cross-team environments.
• Familiarity with CI/CD practices and operational monitoring.

Senior Account Analyst (Band 6)

Job Summary

The Senior Account Analyst is responsible for the accuracy, consistency, and business usability of enterprise account master data. This role leads day-to-day data stewardship execution, partners closely with finance, commercial, and marketing stakeholders, and serves as the subject matter expert for account segmentation and certification used in enterprise reporting.

This position provides functional leadership for a team of data stewards while remaining hands-on in complex account research and issue resolution.

Key Responsibilities

• Maintain and certify account hierarchies, parenting, and segmentation, leveraging DUNS hierarchy, NAICS data, and internal business logic.
• Monitor merger, acquisition, and divestiture activity for key accounts and ensure timely updates to account mappings and hierarchies.

• Partner with finance, supply chain, commercial, and marketing stakeholders to identify and prioritize refinement of critical account groups.
• Translate business reporting needs into actionable data stewardship priorities.
• Perform ad hoc account research and root-cause analysis when reported results do not align with stakeholder expectations.

• Serve as escalation point for complex stewardship issues requiring advanced judgment or business context.

• Maintain existing segmentation frameworks and develop new segmentation approaches in partnership with business stakeholders.

• Support month-end and year-end processes, including finance reporting reviews and pre-loading of portfolio changeovers.

Required Qualifications

• 5+ years of experience in data stewardship, master data management, account analytics, or related roles.
• Demonstrated ability to interpret and apply business rules for account hierarchy and segmentation.
• Proven experience working directly with finance and commercial stakeholders on reporting-critical data.
• Ability to lead and coordinate work across team members.

Preferred Qualifications

• Experience supporting financial reporting, commercial analytics, or enterprise account harmonization.
• Familiarity with ERP and CRM systems and how master data impacts downstream reporting.
• Experience defining or refining data governance and stewardship processes.
• Comfort working in hybrid technical/business environments.
• Knowledge of security best practices and compliance requirements
• Ability to work independently and as part of a distributed team
• Occasional travel may be required (up to 10%)

Experience Level

Senior Level