Associate Director, Launch Consulting

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As a critical member of the Research Growth Strategy team, the Associate Director, Launch Consulting leads the implementation of Decision Engine dashboards, guiding partners from kickoff through launch while ensuring a high-quality, consultative experience. The role combines project leadership and analytical problem-solving to assess data quality, validate Decision Engine outputs, and help partners understand and effectively interpret their results. Working cross-functionally with Research, Product, Edify Data Engineering, Delivery, and other teams, the Associate Director coordinates complex implementations, drives issues through resolution, and supports the continued evolution and adoption of Decision Engine solutions.

Success in this role requires strong judgment, curiosity, organization, and the ability to translate complex data and analytical methodologies into clear, practical guidance for institutional leaders.

This hire may be based in Washington, D.C. or Richmond, VA; this position is also open to remote employment within the continental United States.

Primary Responsibilities

• Lead a portfolio of Decision Engine dashboard implementations from kickoff through launch, serving as the primary point of contact for partner implementation activities.
• Develop and manage implementation plans, timelines, communications, project risks, and stakeholder expectations across multiple concurrent implementations.
• Coordinate implementation activities and key handoffs across partners, Research, Edify Data Engineering, Product, Delivery, and other stakeholders, from data pipeline development through validation, testing, and launch.
• Lead key partner and internal implementation meetings, including kickoff, data and findings reviews, testing, launch readiness, and handoff, ensuring clear decisions, ownership, and next steps.
• Assess partner data for completeness, consistency, and overall reasonableness, applying analytical judgment rather than simply verifying required fields are present.
• Use SQL and dashboard outputs to investigate unexpected data patterns, distributions, and outliers, identify likely root causes, and determine the appropriate path for resolution.
• Execute automated and manual data validation processes and appropriately triage issues to partners, Research, Edify Data Engineering, or Product teams.
• Develop deep expertise in the Decision Engine methodology and serve as a trusted advisor on model assumptions, institutional data, and analytical methodology.
• Guide partner conversations regarding the rationale behind the dashboard, including data definitions, methodological assumptions, tradeoffs, and why specific data elements are or are not incorporated into the model.
• Build an understanding of higher education finance, enrollment, and academic operations to effectively consult with institutional leaders on the appropriate interpretation of Decision Engine outputs.
• Configure and deploy Decision Engine dashboards within Qlik environments, connect dashboards to Edify tenants, manage user access, and support recurring dashboard refresh processes.
• Perform light technical troubleshooting during implementation and coordinate issue resolution with Engineering when appropriate.
• Identify opportunities to improve implementation processes, documentation, and data quality workflows across the implementation lifecycle.
• Build strong cross-functional relationships that enable effective collaboration across Product, Research, Sales, Delivery, and Engineering.
• Support broader Data & Analytics initiatives as implementation priorities and product capabilities evolve.

Basic Qualifications

• Bachelor’s degree, with an excellent academic record and 5+ years of post-graduate, professional experience; minimum of 3+ years of post-graduate…