Data Steward II

Data Steward

At Thorlabs, we design and manufacture components, instruments, and systems that transform the world by identifying, enabling, and accelerating key photonics (i.e., light-based) technologies. Backed by a dedicated workforce of more than 3,000 employees worldwide, Thorlabs contributes to cutting-edge research and real-world innovation.

Whether you're early in your career or bringing years of experience, you'll find opportunities to grow, take ownership, and make meaningful contributions from day one. We know every employee brings unique talents and perspectives that fuel our success, and we seek driven individuals who are excited to make an impact in a fun, fast-moving culture.

The Data Steward improves the trust, quality, and usability of enterprise data across Thorlabs' analytics ecosystem, including Dynamics 365, Azure Synapse, ADLS, and Power BI. This role is responsible for defining and maintaining business terms and critical data elements, documenting data lineage, establishing and monitoring data quality rules, and partnering with Data Engineers, Data Analysts, and business subject-matter experts to remediate issues and standardize definitions.

The Data Steward drives consistent understanding of KPIs and calculations, supports change governance, and communicates impacts to stakeholders so data-driven decisions can be made with confidence. Success in this role requires strong communication, organization, and collaboration across the Enterprise Data Management team and business partners.

Although the location of the position is in Newton, NJ, from time to time it may be required to undertake duties at other Thorlabs locations.

This position may have access to ITAR related information. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, U.S. National, Lawful Permanent Resident, Workers granted Refugee status, or Workers granted Asylum) upon hire.

Essential Job Functions include the following, but are not limited to:

• Define and maintain business glossary entries and critical data elements (CDEs) for prioritized domains (Purchasing, Production, Sales, Inventory, Finance, Quality, etc.).
• Establish data quality rules (completeness, validity, uniqueness, timeliness), coordinate technical implementation, monitor dashboards, and drive root-cause analysis and remediation with data owners.
• Maintain end-to-end data lineage and metadata from D365 through Synapse (serverless/dedicated) and into Power BI datasets and reports, using tools such as Microsoft Purview.
• Operate the data issue intake and triage process through Azure DevOps; define priorities, SLAs, track remediation progress, and validate fixes.
• Review changes to schemas, transformations, and business logic; assess downstream impacts; update definitions; and publish change communications to stakeholders.
• Coordinate dataset certification and endorsement processes; assist with sensitivity labelling and data protection requirements in partnership with IT/InfoSec.
• Support user acceptance testing for models and reports; develop user documentation, data guides, and training materials to support adoption.
• Compile and present stewardship health metrics - data quality trends, issue MTTR, risks, and resolved items - to leadership.

In addition to the essential functions and duties listed above, all positions are also responsible for:

• Meeting company standards pertaining to quantity and quality of work performed on an ongoing basis, performing all work related tasks in a manner that is in compliance with all Company policies and procedures.
• Adhering to Company policies, procedures, and directives regarding standards of workplace behavior in completing job duties and assignments.

The Company retains the right to change or assign other duties to this position.

Physical Activities: This is largely a sedentary role; however, some filing is required. This may include lifting files, opening cabinets, bending, or standing as necessary.