About Us: EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row and Built In’s Best Places to work in 2025 and 2026!

As the Director, Data Insights, you will be the primary bridge between our technical depth and our most critical business decisions. You aren't just managing data; you are managing influence. Your mission is to translate complex data signals into persuasive business narratives that change how our internal leaders and external partners operate.

Key Responsibilities:

• Executive Advisory: Serve as the "Data Voice" in the room for high-stakes meetings with C-suite executives and external stakeholders. You will defend findings, negotiate priorities, and provide real-time strategic counsel.
• Narrative Design: Take the raw output from our data science and engineering teams and synthesize it into "Board-ready" presentations that drive multi-million dollar decisions.
• Culture Transformation: Act as a change agent to move the organization from "data-aware" to "data-driven." You will challenge existing business assumptions and push for evidence-based pivots.
• Stakeholder Diplomacy: Navigate conflicting interests between departments (e.g., Sales vs. Product) by using data as the objective "source of truth" to build consensus.
• Value Realization: Work closely with the data team to ensure their technical roadmap is strictly aligned with the highest-value business outcomes.

Qualifications:

• Strategic Pedigree: Proven experience leading high-level discussions with internal and external stakeholders.
• Data Fluency: While you may not be coding daily, you have a deep understanding of data science workflows, analytics engineering, and statistical significance.