• Explore, clean, and analyze large volumes of data (structured and unstructured) to identify patterns, anomalies, and opportunities. • Develop, train, and validate predictive and prescriptive Machine Learning models (regression, classification, clustering, time series, etc.). • Create rigorous statistical analyses and hypothesis tests to validate business assumptions. • Translate complex mathematical metrics into reports and dashboards (Data Storytelling) for technical and non-technical stakeholders. • Collaborate with data engineers to design efficient data pipelines that feed models in a scalable way.

• Partner with state organizations, research teams, and enterprise education clients to understand their data collection goals and visualization needs. • Lead the end-to-end onboarding process for all tutoring providers connected to your clients. • Collaborate closely with the internal data engineering team to translate client requirements into clear, technical documentation. • Own the project management lifecycle for deliverables by creating, tracking, and prioritizing tickets within Jira.

• Own assigned projects and workstreams from initiation through closeout. • Develop and maintain project execution plans, schedules, and milestone tracking. • Drive project progress and accountability across internal teams, vendors, consultants, and external partners. • Coordinate project activities to ensure alignment with program objectives, timelines, and deliverables. • Facilitate project meetings, track action items, and follow through to completion. • Build and maintain project-level schedules aligned to the broader program master schedule. • Monitor project dependencies and identify impacts to adjacent workstreams. • Support integration of project schedules into the overall program plan. • Escalate schedule risks and conflicts proactively while recommending mitigation strategies. • Coordinate activities across engineering, design, construction, infrastructure, and operational stakeholders. • Manage communication between project teams, vendors, consultants, and leadership. • Ensure all parties understand scope, responsibilities, milestones, and expectations. • Support cross-functional collaboration across the QC Ecosystem and external delivery partners. • Track project budgets, scope, schedules, risks, issues, and progress. • Maintain accurate project documentation including meeting notes, decision logs, change requests, and status reports. • Provide regular project updates and executive-ready reporting to Program Leadership. • Contribute to phase-gate reviews and readiness assessments. • Identify project-level risks, constraints, and issues early. • Drive resolution through collaboration and ownership.

• Co-own technical architecture and system design • Lead design of data and AI flows across heterogeneous systems • Make and document architectural decisions independently • Design and build MCP tools, RAG pipelines, and agent-facing APIs • Develop backend services with FastAPI • Set and uphold engineering standards across the team • Mentor engineers across the team • Own the evolution of the Data & AI domain architecture • Lead technical execution of initiatives from discovery to production • Act as the technical point of contact for initiatives within the domain • Collaborate closely with other Technical Leads and Principal Engineers • Drive engineering excellence in production