Director of Curriculum & Instruction: Science

Summit K12

Standort: Texas, United States (Remote)

Vergütung: USD 120000 – 140000

The Director of Curriculum and Instruction: Science is Summit K12’s senior domain leader for K–12 science teaching and learning. The Director owns the research-based principles, science domain architecture, quality standards, and design expectations that guide science curriculum, assessment, digital learning experiences, and professional learning across Summit K12. This role protects scientific accuracy, disciplinary integrity, and coherence across grade bands, courses, science domains, state frameworks, and solutions. The Director translates standards, research, assessment expectations, policy, and implementation evidence into practical design guidance that Principal Curriculum Designers, Learning Experience Designers, writers, assessment teams, Product, and external production partners can apply consistently. The Director of Curriculum and Instruction directly manages and develops assigned Principal Curriculum Designers and other team members, with accountability for performance, priorities, capacity, professional growth, and the development of deep expertise within the domain. The Director owns science domain architecture and academic quality but does not own day-to-day production of individual products. Principal Curriculum Designers translate the domain architecture into detailed solution-level designs, specifications, and buildable models. The Director’s value is in defining what excellent science learning looks like, ensuring those expectations travel across the portfolio, validating high-impact design decisions, and building organizational expertise so science quality can scale without depending on a single expert. Key Responsibilities 1. Science Domain Strategy & Architecture Serve as Summit K12’s senior academic authority for K–12 science teaching and learning. Establish and maintain science principles, disciplinary frameworks, quality indicators, and non-negotiable design expectations that guide curriculum and learning experiences across the portfolio. Define expectations for coherent scientific knowledge building, phenomena-based learning where appropriate, scientific and engineering practices, modeling, investigation, data use, evidence-based reasoning, explanation, argumentation, and scientific discourse. Guide interpretation and application of state science standards and frameworks, including disciplinary core ideas/content knowledge, science and engineering practices, and crosscutting concepts where applicable. Maintain coherence across physical, life, Earth and space sciences, engineering and technology connections, disciplinary literacy, grade-level learning progressions, and assessment expectations. Ensure science solutions build knowledge systematically rather than treating standards or activities as isolated instructional events. 2. Domain Quality, Prototypes & Acceptance Criteria Define science-specific quality indicators, acceptance criteria, exemplars, validation requirements, and decision rules within Summit K12’s broader academic governance and Curriculum Lifecycle. Partner with Principal Curriculum Designers to ensure gold-standard prototypes accurately reflect Summit K12’s science principles before production scales. Review high-impact or novel curriculum designs, instructional models, assessments, investigations, simulations, and state adaptations for scientific accuracy and pedagogical integrity. Validate that phenomena, investigations, models, data representations, explanations, argumentation, engineering tasks, and assessment experiences are purposeful and aligned to intended learning outcomes. Identify systemic science-quality issues and determine whether improvements are needed in domain guidance, architecture, prototypes, specifications, templates, professional learning, or production calibration. Support academic readiness and release decisions for significant science solutions and escalated disciplinary issues without becoming the routine reviewer of every lesson or asset. 3. Guidance for Solution Architecture & Scaled Production Provide domain guidance to Principal Curriculum Designers while preserving their ownership of detailed instructional architecture for assigned science solutions. Translate science principles into usable specifications, exemplars, rubrics, decision rules, and guidance that internal writers, AI-enabled workflows, and approved external production partners can execute consistently. Support calibration of curriculum teams and external partners on science quality expectations, especially for work involving complex disciplinary judgment, data, investigations, models, or scientific explanations. Help distinguish science decisions that can be standardized and scaled from decisions that require expert domain review. Reduce dependence on downstream expert correction by making science expectations explicit before large-scale curriculum production begins. Partner with Project Management leaders to design the overall team coordination process and set clear guidelines for tracking work, ensuring all solutions move forward together and have the right people assigned to them. 4. Cross-Solution Science Expertise & Coherence Build organizational capability so strong science learning principles are consistently applied across science solutions, assessment, adaptive learning, interdisciplinary literacy, and related product experiences. Partner with other domain Directors and curriculum leaders to ensure disciplinary literacy and language demands are addressed without weakening the integrity or rigor of science learning. Develop reusable science frameworks, guidance, exemplars, and quality indicators that can be applied across grade bands and state solutions. Promote coherence among content knowledge, practices, investigations, models, data, discourse, assessment, and the intended learner experience. Serve as the escalation point for complex science questions that cross products, courses, science domains, or state frameworks. 5. Leadership & Development of Science Expertise Develop the science expertise of Principal Curriculum Designers, Senior Curriculum Writers, Curriculum Writers, Learning Experience Designers, assessment teams, and other relevant academic staff. Coach curriculum leaders on science learning progressions, phenomena, investigations, modeling, evidence-based reasoning, disciplinary literacy, assessment, and appropriate cognitive demand. Use calibration, design reviews, exemplars, professional learning, and criteria-based feedback to strengthen independent disciplinary judgment across the organization. Build bench strength so scientific accuracy and strong science pedagogy do not depend on a single expert. Identify capability gaps and recommend targeted professional learning, hiring, external expertise, or other capacity-building strategies. 6. AI-Enabled Science Quality & Innovation Establish domain-specific standards and validation criteria for responsible AI use in science curriculum, assessment, differentiation, and content development. Partner with Principal Curriculum Designers to strengthen science-specific prompts, exemplars, rubrics, specifications, and validation processes used in AI-assisted workflows. Evaluate high-risk or representative AI-generated explanations, questions, investigations, phenomena, models, data sets, answer keys, assessments, and teacher guidance for scientific and instructional quality. Identify weaknesses automated systems may miss, including scientific inaccuracies, fabricated or implausible data, misleading models, weak causal reasoning, inappropriate cognitive demand, bias, unsafe investigation guidance, and standards misalignment. Use AI and emerging technologies to improve science design, differentiation, quality, and scalability while maintaining expert human judgment and accountability. Contribute science expertise to the organization’s evolving AI governance and quality systems. 7. Assessment, Research & Continuous Improvement Partner on science a

Director of Curriculum & Instruction: Science

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