Remote job · IT and software
Senior Manager, Master Data Delivery
In one line: Senior Manager, Master Data Delivery is a remote role in the United States at a large tools and outdoor equipment manufacturer.
- Remote (US)
- A large tools and outdoor equipment manufacturer
- Posted 1 Oct 2026
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https://keywordise.com/mcpApply to Keywordise job tun7dfa7zeAbout the role
This role leads a team that delivers product master data as a business-critical asset, keeping it clean, standardized and reliable for the wider data community.
At a glance
- PayNot stated in the posting
- Remote scopeRemote, United States
- Posted1 Oct 2026
- Last checked18 Oct 2026
What you will do
- Own delivery of high-quality product master data in line with defined quality standards
- Direct daily work such as collection, cleansing, enrichment, validation and issue resolution against service levels
- Set team priorities from the data roadmap, allocate work, watch delivery risks and coach staff
- Act as subject matter expert, diagnosing complex data problems and putting fixes and standards in place
- Redesign data delivery processes and partner with business and IT stakeholders on improvements
- Lead small to mid-sized projects and keep documentation and stakeholder communication clear
What they look for
- Eight or more years of experience in data analytics or a comparable area
- Skill with SQL, Python, data modeling and tools such as Alteryx for ETL work
- Experience loading large datasets from many sources into targets such as Snowflake or Salsify
- Ability to apply generative AI and automation to data preparation
- Strong communication and stakeholder management skills
Questions about this job
Is this a remote job, and where can I work from?
The posting lists it as remote for people in the United States.
What does this job pay?
The posting does not state a salary, so there is no figure to quote.
What experience is needed?
The posting asks for: eight or more years of experience in data analytics or a comparable area; skill with SQL, Python, data modeling and tools such as Alteryx for ETL work; experience loading large datasets from many sources into targets such as Snowflake or Salsify.
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