Content Data Structure Specialist

AncestryDraper, UT
Hybrid

About The Position

The Content Data Structure Specialist supports Content production by structuring data for use throughout the publishing pipeline. The Data Specialist will work with raw family history content and metadata to prepare the data for importing to a database and structuring according to Content standards. You will also be responsible for exporting data for external partners. An essential part of this role is the development of custom tools with AI assistance to help automate and streamline workflows to improve output and efficiency. The role will require constant and quality communication to ensure success.

Requirements

  • Operates with independence, making decisions and managing deliverables with minimal supervision.
  • Proactively masters new technical tools and evolving industry requirements without needing formal direction.
  • Professional experience leveraging AI to develop custom tools, with deep expertise in MySQL databases, Excel, and Power BI.
  • Exceptional analytical skills with a meticulous approach to data accuracy and detail.
  • Proven ability to make critical decisions and troubleshoot technical issues with minimal supervision.
  • Ability to rapidly acquire and apply new technical skills and software proficiencies.
  • Excellent interpersonal, verbal, and written communication skills suited for a global team environment.

Nice To Haves

  • Basic exposure to cloud platforms (AWS or GCP).
  • Basic proficiency or educational background in Python or Java for data scripting and Git for version control.
  • Interest in learning automation, logging, and workflow tools.
  • Experience or interest in family history, genealogy, or historical data.

Responsibilities

  • Gather and convert raw data into standardized formats; transform diverse file types into ingestible assets for internal and external systems.
  • Design and implement innovative methods to optimize production workflows and support scalable content growth.
  • Manage multiple concurrent projects, ensuring all milestones and deadlines are met for diverse data collections.
  • Resolve complex issues within data files, SQL templates, and database tables.
  • Leverage AI tools to streamline repetitive tasks, automate workflows, and troubleshoot process-driven bottlenecks.
  • Participate in the onboarding and training of team members.
  • Assist in answering questions and troubleshooting issues the team experiences.

Benefits

  • health, dental and vision
  • bonus
  • equity
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