protege - Solutions Lead, Assessments
Requirements
• You have shaped and delivered complex customer or partner engagements, translating an ambiguous need into a feasible solution and a concrete outcome. • You have coordinated technical, operational and external stakeholders, making dependencies and decision ownership clear without relying on direct authority. • You have managed changing requirements and difficult timelines while maintaining clear expectations and customer trust. • You have built a playbook or operating process that other people adopted, and can show how it reduced confusion, delay or repeated work. • Optional: You have worked with healthcare data before • Optional: Experience with AI evaluations, ML products or enterprise data delivery is valuable. SQL, Python and API tooling are helpful, not required; you must be able to interpret technical evidence and work effectively with the specialists who produce it. • Pass the Loved Ones’ Test • We act with integrity and do the right thing — especially when it’s hard and no one is watching. • Always Find a Way • We are resourceful, resilient builders who solve hard problems and push through obstacles. • Go Fast and Grow Fast • Velocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company. • Practice Kindness and Candor • We communicate directly and respectfully, building trust through honest feedback and genuine care for one another. • Deliver Together • We win as one team. Collaboration, accountability, and shared ownership drive our success. • Own the Outcome. Hone the Craft. • We take pride in our work, sweat the details, and continuously raise the bar for excellence.
Responsibilities
• Translate customer goals into assessment scopes, success criteria and delivery plans with clear technical and commercial assumptions. • Coordinate DataLab, engineering, commercial teams and data partners through each delivery stage. • Coordinate partner specifications and data-readiness checks across relevant EHR, claims, imaging, pathology and text sources. • Serve as the primary delivery contact, making technical decisions, progress, risks and trade-offs clear to customers. • Assess technical feasibility and recommend scope, source or execution options based on customer value, effort, risk and capacity. • Coordinate data-quality, privacy, scientific and technical readiness reviews with the responsible experts before work advances. • Manage changing requirements and competing projects, recommending priorities and showing the impact on timing, effort and deliverables. • Build reusable playbooks for intake, feasibility, QA, partner handoffs, escalation and acceptance. • Use delivery evidence to prioritize process and tooling improvements, explaining expected customer value and capacity benefits. • Coordinate results delivery, customer acceptance and the handoff into the next assessment or rerun. • WHAT SUCCESS LOOKS LIKE • First 30 days: Understand the customer decisions, healthcare data needs and technical dependencies across the assigned portfolio. Establish a delivery cadence, baseline effort and rework, and identify the most important constraints on delivery. • By 60 days: Lead assigned customer deliveries, move at least one through a meaningful milestone, and apply the playbook across two projects or delivery cycles. Secure agreement on a scope or prioritization recommendation that balances customer value, technical feasibility and capacity. • By 90 days: Lead a project to acceptance or its agreed checkpoint, demonstrate improvement against a delivery baseline, and make the playbook usable by another teammate. Recommend a prioritized delivery roadmap with concrete process or tooling investments and expected benefits.
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