Data Governance Lead — Hybrid, Global Market Analytics

Olympus Corporation; Boston (MA); Hybrid; USD 122,000 - 171,000; Full time

Benefits offered by this job

Annual bonus

401(k) match

Medical coverage

Paid vacation

Parental leave

On-site daycare

Job summary

Olympus Corporation in the United States is seeking a Data Governance Lead for Global Market Analytics & Insights. The role focuses on stewarding data assets, implementing standardized governance, and ensuring data quality across market sizing, forecasting, and KPI reporting.

You will collaborate with stakeholders across MCI&A to define data needs, establish standardized processes, and advance data governance and data fabric initiatives in a fast-paced, matrix environment.

Qualifications

• Bachelor’s degree in a data-related field or engineering.
• Minimum 5 years in data governance, data quality, or data management.
• 4+ years leading data projects across teams and vendors.
• Experience with enterprise analytics platforms and data catalogs.

Responsibilities

• Lead data architecture and governance across domains with centralized catalogs.
• Enhance data collection, storage, and reporting tools to improve data flows.
• Identify data quality issues and drive data consistency across the organization.
• Collaborate with IT and cross-functional teams to integrate market analytics data.
• Standardize data definitions, structures, and tables for analytics.
• Enable self-service analytics with dashboards and portals.

Skills

Data governance

Data quality

ETL

SQL

Project management

Snowflake

Databricks

Power BI

Education

Bachelor’s degree in data science / CS / analytics

Tools

Snowflake

Databricks

Microsoft Fabric

Power BI

Job description

Olympus Corporation in the United States is seeking a Data Governance Lead for Global Market Analytics & Insights. The role focuses on stewarding data assets, implementing standardized governance, and ensuring data quality across market sizing, forecasting, and KPI reporting.

You will collaborate with stakeholders across MCI&A to define data needs, establish standardized processes, and advance data governance and data fabric initiatives in a fast-paced, matrix environment.