Data Intelligence Solutions Lead

Job Description Summary Help EnterpriseKC create meaningful value by turning priority business questions and trusted evidence into intelligence, recommendations, decision tools, and reusable capabilities that improve decisions and performance, while strengthening Data Sphere, EnterpriseKC's shared intelligence platform. The Data Intelligence Solutions Lead combines business and data analysis, performance intelligence, and hands-on AI-enabled building to move analytical work from a clearly framed question through useful first use, measurement, and continued improvement.

The role strengthens EnterpriseKC's teams and programs by providing analytical support for their work serving partners across government, enterprise, academia, and economic development. The Data Intelligence Solutions Lead should wake up every morning thinking about where EnterpriseKC can create the most value; what the evidence reveals; what analysis, intelligence, or decision tool would make the greatest difference; how the work can strengthen Data Sphere and create reusable capabilities;

and whether it is being used, what value it is creating, and what should improve or come next.

Job Description Ownership:
Framing priority business and operating questions as clear analytical questions with defined objectives, intended value, and measures of success. Conducting business and data analysis — including performance intelligence — that reveals patterns, implications, risks, opportunities, and evidence-based recommendations. Personally designing and building useful dashboards, analytical prototypes, AI-enabled tools, and other intelligence solutions that support decisions and action. Strengthening and growing Data Sphere through valuable data, measures, methods, models, workflows, use cases, and reusable analytical capabilities.

Evaluating the use, decision value, performance, and outcomes of assigned analytical work; improving what is built and carrying reusable learning into future work.

Provide analytical support to teams and programs across EnterpriseKC by translating the priority business and operating questions they identify — including through their work with partners across government, enterprise, academia, and economic development — into analytical questions, intended value, measures of success, and practical paths forward. Find, organize, analyze, and interpret quantitative and qualitative information; define relevant baselines, leading and lagging indicators, and measures of success;

and identify patterns, gaps, trends, risks, and implications. Turn analysis into clear findings, recommendations, and decision support, not simply reports of activity. Personally build dashboards, prototypes, AI-enabled tools, and other intelligence solutions with analytics, visualization, business‑intelligence tools, low‑code or no‑code tools, and other appropriate resources. Test assigned analytical and intelligence solutions in use, evaluate their decision value and performance, and refine the analysis, tool, or method based on evidence and feedback.

Strengthen Data Sphere by connecting useful data, measures, models, methods, workflows, use cases, and analytical capabilities for reuse across future work. Explore and test new analytical approaches, tools, and decision experiences when they can create meaningful value. Monitor adoption, outcomes, changing needs, and feedback; identify what should improve; and carry what is learned into the next assignment, tool, or capability.

Partner closely with the Data Storytelling & Insights Specialist on shared assignments so analytical utility, meaningful insight, human context, and the audience experience reinforce one another, while independently leading other analytical and intelligence assignments. Collaborate with product, project, data, research, design, communications, technology, and subject‑matter contributors to bring the work together. Report to the Pillar 8 Leader and manage an assigned portfolio of analytical work, intelligence solutions, projects, and priorities with strong follow-through.

Protect sensitive information, use artificial…