Senior Manager of Data, Analytics, and Innovation

Responsibilities

• Direct the implementation of a scalable analytics strategy that aligns with enterprise objectives and IT architecture standards.
• Provide leadership and mentorship to a team of Data Engineers, encouraging collaboration, skill enhancement, and optimal performance.
• Engage with business stakeholders to convert requirements into actionable data solutions, comprehensive dashboards, and effective decision-support tools.
• Supervise and optimize the data pipeline lifecycle—including ingestion, transformation, storage, and visualization—while maintaining high standards of data quality and system performance.
• Develop and sustain robust data models to enable scalable self-service analytics and advanced organizational reporting.
• Establish and uphold rigorous data governance and standardization protocols.
• Act as a subject matter expert in key analytics technologies such as SQL Server, MySQL, and Snowflake.
• Advocate for data-driven innovation, operational efficiency, and business value throughout all departments.
• Continuously research, assess, and implement emerging analytics platforms and methodologies to enhance overall platform capabilities.
• Contribute expertise to strategic projects and serve as the lead for analytics on cross-functional initiatives.
• Identify and advance opportunities for automation in reporting and analytics workflows.
• Integrate new technologies, including Artificial Intelligence (AI) and Large Language Models (LLMs), into analytics solutions to expand capabilities and foster innovation.
• Promote a culture of experimentation, ongoing improvement, and learning within the TIG Business Intelligence community.

This position is located in Iowa, Illinois, or Remote

• Bachelor’s or Master’s in Analytics, Computer Science, Information Systems, or related fields.
• At least 7 years in analytics, data engineering, or business intelligence, including at least 2 years in leadership.
• At least 7 years with databases such as Oracle MySQL and SQL Server.
• Experienced in data modeling, warehouse architecture, and business intelligence tools.
• Effective team and project manager in cross-functional environments.
• Adaptable to changing priorities and uncertainty.
• Excellent communicator, able to present and explain complex issues clearly.
• Knowledgeable about data quality frameworks and governance best practices.
• Experienced in designing and implementing ELT/ETL pipelines on cloud platforms.
• Familiar with agile methodologies and collaborative project management tools.
• Capable of aligning analytics with business goals, including performance metrics and KPIs.
• Strong problem-solving and leadership skills.