Director of Analytics Data Engineering

Thomson Reuters • Eagan, MN

426d • Hybrid

About The Position

The Director of Analytics Data Engineering at Thomson Reuters is responsible for leading a newly centralized team focused on analytics, reporting, and AI/ML solutions. This role involves managing end-to-end data pipelines, developing foundational data capabilities, and ensuring user-friendly data access. The director will collaborate closely with business leaders to understand their needs and prioritize data roadmaps, ultimately driving value through data-driven solutions.

Requirements

• 10+ years of experience working with complex datasets from various sources.
• 5+ years managing analytics engineering or data engineering teams, with experience managing Managers preferred.
• Bachelor's degree in a quantitative field; Master's/PhD a plus.
• Extensive experience in data modeling and architecture within production environments, particularly using Snowflake and/or Redshift.
• Expertise in designing, building, and deploying production data pipelines and ETL.
• Extensive knowledge of relational databases and modern data stack technologies.
• Proven ability to ensure data integrity and implement data governance best practices.
• Demonstrated leadership managing high visibility cross-enterprise projects.
• Strong communication and relationship-building skills.
• Experience in business intelligence and data visualization tools, such as Tableau.
• Exceptional SQL skills are critical.

Responsibilities

• Lead a newly centralized team of highly skilled analytics engineers and managers.
• Establish the vision and direction of the team, working closely with business leaders.
• Create a best-in-class data delivery engine powered by industry-leading tools and techniques.
• Develop use-case-specific data tables by combining elements across diverse data domains.
• Construct robust data ingestion pipelines from internal and external sources.
• Empower users to independently explore and answer data-related queries.
• Streamline development timelines, minimize errors, and uphold the reliability of analytical products.
• Optimize data warehousing processes and enhance data modeling practices.
• Partner with Data Governance, Data Architecture, and Platforms teams to deliver and manage data.
• Plan complex multi-quarter and multi-year data delivery roadmaps.

Benefits

• Hybrid Work Model: Flexible working environment (2-3 days a week in the office).
• Comprehensive benefit plans including flexible vacation and mental health days off.
• Work from another location for up to 8 weeks a year.
• Headspace app subscription for mental wellbeing.
• Retirement savings and tuition reimbursement programs.
• Employee incentive programs and resources for mental, physical, and financial wellbeing.
• Access to LinkedIn Learning and internal Talent Marketplace for professional development.
• Two paid volunteer days annually and employee-driven Business Resource Groups.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Web Search Portals, Libraries, Archives, and Other Information Services
• Education Level: Bachelor's degree
• Number of Employees: 10,001+ employees