Current staff, faculty/adjunct at Herzing University: log into UKG and navigate to Menu > Myself > ​My Company >​ View Opportunities to apply using the internal application process. To participate in a remote work arrangement, employees must reside in the United States. No remote work arrangement will be considered for working from outside the United States. Qualifications: - Active and unencumbered compact RN license or Wisconsin RN license - Master's of Science in Nursing, Doctorate preferred - Previous teaching experience required; Online teaching experience preferred. - Experience with Canvas as a learning management system a plus Adjunct Faculty are eligible to participate in the Herzing 401(k) plan with a generous company match and our excellent education assistance programs! Click Here or use the following link to learn more about careers at Herzing University. https://tinyurl.com/HerzingU Compensation for undergraduate nursing adjunct is $50 per hour. The position's duties and responsibilities for this role include: - Teaching and learning - Scholarship of Teaching and Learning - Academic and Institutional Service Within these duties and responsibilities, the following competencies are included. - Subject Matter Expertise - Effective Communication - Pedagogical Mastery - Operational Excellence - Appreciation and Promotion of Diversity - Assessment of Student Learning - Utilization of Technology to Enhance Teaching and Learning - Continuous Improvement These competencies, as identified by the University's academic community, encompass the knowledge, skills, and behaviors essential to a faculty member's success in the classroom and provide the basis for the faculty hiring, evaluation and development process. Herzing University is committed to providing a diverse environment and is dedicated to fostering a culture and atmosphere of mutual respect. It provides an inclusive and collegial community where individuals are valued, heard and empowered to contribute to the effectiveness of the institution. Applicants must be authorized to work for any employer in the U.S. We do not sponsor or take over sponsorship of an employment Visa at this time. It is the university’s practice to recruit and hire without discrimination because of skin color, gender, religion, LGBTQi2+ status, disability status, age, country of birth, veteran status, or any other status protected by law. https://www.herzing.edu/about/diversity Herzing University prohibits sex-based discrimination in any education program or activity that it operates. Individuals may report concerns or questions to the Title IX Coordinator. The notice of nondiscrimination is located at https://www.herzing.edu/title-ix

• Provide technical pre-sales support for ESS products, including customer communication, technical clarification, and solution presentations in collaboration with Sales • Design and configure ESS solutions, including product selection, system sizing, technical preparation, and cost-related inputs for quotations • Participate in tender and bidding processes; prepare and review technical bid documents in English and Chinese • Support the drafting and review of technical specifications and technical agreements for ESS projects • Act as a technical interface between Sales, HQ technical teams, product management, and customers • Deliver internal and external technical training sessions for ESS products and solutions • Support technical evaluations of customer requirements, grid standards, and project feasibility • Contribute to continuous improvement of technical documentation, solution templates, and pre-sales processes • Perform additional technical tasks or project support as assigned by leadership

• Conduct discovery sessions with clients to understand their functional and technical requirements, as well as their existing and ‘to-be’ architecture. • Be comfortable building and delivering detailed and customized FICO Platform demonstrations to a technical and business audience. • Work with multiple FICO product teams to design FICO Platform capabilities and service solutions to meet client’s business needs. • Design and execute proof of concepts, respond to RFIs/RFPs, and prepare sales collateral as part of dedicated sales or account team – helping craft sales strategies and tactics when appropriate. • Contribute to pricing scenarios, business benefit and ROI analysis, and the creation of competition-differentiating sales strategies. • Participate in best practice workshops at customer sites, FICO hosted forums and Industry events, as well provide continuing education to sales team on FICO Platform.

Overview Presales Data Engineer – Data Modernisation & AI Location India (Bangalore / Hyderabad / Chennai / Pune — Flexible) Role Purpose Support the Presales Lead in crafting winning solutions for large-scale data modernisation and AI-ready platform transformation deals. This is a hands-on technical presales role that combines deep data engineering skills across Databricks, Snowflake, and Google Cloud with a strong understanding of AI/ML to build compelling solution architectures, proof-of-concepts, and deal collateral. Responsibilities Key Responsibilities - Solution Engineering & Deal Support Build detailed solution architectures and technical proposals in support of RFPs, proactive pursuits, and strategic deals. Develop effort estimations, platform sizing, and cost models for data modernisation engagements. Create high-quality solution decks, architecture diagrams, and technical write-ups under tight deal timelines. Support the Presales Lead in client-facing workshops, demos, and architecture walkthroughs. - Data Modernisation for AI Design migration and re-platforming approaches from legacy systems (Oracle, Teradata, Netezza, traditional ETL) to modern platforms. Build reference architectures for Data Warehouse → Lakehouse → AI-ready platform transformations. Develop code conversion strategies and automated migration frameworks. Ensure modernised data platforms are optimised for downstream AI/ML workloads, including feature engineering, model training pipelines, and serving layers. - Platform Engineering – Databricks, Snowflake & Google Cloud Databricks: Lakehouse architecture, Delta Lake, Unity Catalog, MLflow, Databricks Workflows, and Spark-based processing. Snowflake: Data sharing, Snowpark, Streams & Tasks, dynamic tables, Snowflake Cortex, and governance features. Google Cloud Data & Analytics: BigQuery, Dataproc, Dataflow, Pub/Sub, Dataplex, Vertex AI integration, and Cloud Composer. Build reusable accelerators, templates, and demo environments across these platforms. - AI & Machine Learning Integration Strong working knowledge of AI/ML concepts, including supervised/unsupervised learning, LLMs, RAG architectures, and GenAI application patterns. Design data pipelines and platform architectures that enable AI readiness — clean, governed, feature-rich, and accessible data. Demonstrate understanding of MLOps practices including model versioning, experiment tracking, and deployment pipelines. Support integration of AI capabilities into solution proposals, such as AI-assisted data quality, intelligent document processing, and predictive analytics use cases. - Data Governance & Quality Design governance layers within modern platforms (Unity Catalog, Snowflake governance, GCP Dataplex). Define data quality frameworks, lineage tracking, and cataloguing strategies as part of solution designs. Incorporate privacy, compliance, and security best practices into architectures. - Accelerator Development & Thought Leadership Build and maintain reusable presales assets: reference architectures, estimation templates, demo scripts, and proof-of-concept kits. Contribute to POVs, whitepapers, and technical blogs on data modernisation and AI topics. Stay current with platform releases, industry trends, and competitive landscape across Databricks, Snowflake, and Google Cloud. - Collaboration Work closely with the Americas Presales Lead to ensure alignment on deal strategy and timelines. Coordinate with delivery teams to validate solution feasibility and transition smoothly from presales to execution. Engage with Databricks, Snowflake, and Google Cloud partner teams for joint solutioning and co-selling activities. Requirements Required Skills & Experience 8–15 years of experience in data engineering, data platforms, or analytics, with at least 2 years in a presales or solutioning capacity. Hands-on expertise in at least two of the three core platforms: Databricks, Snowflake, and Google Cloud Data & Analytics. Proven experience in data warehouse modernisation — migration from legacy platforms (Oracle, Teradata, Netezza) to cloud-native architectures. Strong knowledge of AI/ML fundamentals, including GenAI, LLMs, RAG, and MLOps. Ability to articulate how data platforms enable AI outcomes is essential. Proficiency in SQL, Python, and Spark. Familiarity with infrastructure-as-code (Terraform) is a plus. Experience creating solution architectures, technical proposals, and effort estimations for large deals. Excellent communication skills — ability to articulate technical solutions to both technical and business audiences. Preferred Qualifications Certifications in Databricks (Data Engineer Associate/Professional), Snowflake (SnowPro Core/Advanced), or Google Cloud (Professional Data Engineer / ML Engineer). Experience working with Americas or global clients across time zones. Exposure to FinOps and cloud cost optimisation strategies. Background in telecom, BFSI, or enterprise verticals. Familiarity with data mesh and domain-driven data product architectures.