Sr. Certification Development Program Manager
Key Skills for This Role
Full Job Posting
Responsibilities
- Multi-Modal Assessment Architecture: Design, develop, and deploy lab-based practical assessments (including architectural concepts and automated scoring scripts), micro-credentials, performance-based tasks, and rubric-based evaluations for demonstrated hands-on skills.
- SME Workshop Facilitation: Recruit, train, and lead global Subject Matter Experts (SMEs) through synchronous and asynchronous exam development workshops, including Program Design, Job Task Analyses (JTA), item writing, technical reviews, and standard setting (cut-score) sessions.
- Technical Question Validation & Quality: Author, review, and technically validate advanced scenario-based exam questions to ensure alignment with Snowflake platform updates, AI/ML features, and architectural best practices.
- Editorial & Style Governance: Review and revise exam content for grammar, punctuation, spelling, style, and tone, ensuring readability and strict adherence to Snowflake editorial standards.
- End-to-End Program & Project Management: Use project management tools and methodologies to manage medium-to-large-scale exam development projects, directing simultaneous releases to deliver high-quality outputs on time.
- Vendor & Psychometric Collaboration: Partner with psychometricians and delivery vendors (e.g., Pearson) to monitor statistical item performance, manage item banks, ensure QTI compliance, and enforce strict exam security.
- Localization & Publishing Management: Oversee the operational workflows, publishing, maintenance, and global localization processes for all certification forms and program assets.
- Enablement, Marketing & Launch: Drive new and updated exam launches by developing study guides, practice exams, web content, program articles, and blog posts to drive candidate success and program awareness.
- Cross-Functional Alignment: Collaborate with Engineering, Product Marketing, and Technical Documentation teams to keep certification paths continuously synchronized with major platform releases and product roadmaps.
Requirements
- Content & Assessment Expertise: 6+ years of experience in technical content development, certification design, assessment engineering, or IT/technical training in enterprise software environments.
- Technical Proficiency: 2+ years of hands-on experience designing and building technical labs, practical assessments, or hands-on environments across enterprise cloud or data platforms (e.g., Snowflake, AWS, Azure, GCP).
- Project Management & Operations: Demonstrated success leading complex, multi-stakeholder technical projects from concept to launch using standard PM tools and frameworks in fast-paced or asynchronous environments.
- Education & Experience: Bachelor’s degree in Information Systems, Data Engineering, Education, Statistics, or equivalent practical experience.
- Communication: Exceptional ability to translate complex cloud architectural patterns into clear, evaluative assessment objectives and crisp editorial content.
- Preferred Skills:
- Certification: SnowPro Core or SnowPro Advanced Certified.
- Platform Experience: Direct hands-on experience with the Snowflake AI Data Cloud, including proficiency in SQL and/or Python.
- Assessment Tools & Standards: Experience with item banking platforms (e.g., Pearson ExamDeveloper) and assessment standards like QTI (Question & Test Interoperability).
- AI/ML & GenAI Workflows: Hands-on experience or familiarity with LLMs, AI/ML workflows, and building agents.
- Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
- How do you want to make your impact?
- For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
About Snowflake
Snowflake is a cloud-based data platform that enables organizations to store, manage, and analyze data at scale. The company provides solutions for data warehousing, data lakes, data engineering, and AI/ML workloads across major cloud providers.
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