Adjunct Lecturer in Analytics for Cybersecurity Management - Summer/Fall '26

The School of Professional Studies at Columbia University is inviting applications for the role of Adjunct Associate Faculty for a graduate-level course titled Analytics for Business Operations Management, starting in the Fall of 2026. This part-time position offers a unique opportunity to engage in graduate-level teaching while contributing to the academic community at one of the world's leading institutions.This course aims to equip students with analytical techniques to enhance operational decision-making, increase efficiency, and tackle real-world challenges in operations management. Enrolled students will gain hands-on experience in key topics including process analysis, forecasting, queuing theory, simulation, optimization, inventory analysis, project management, supply chain management, and lean operations. By combining lectures with practical coding exercises, the course fosters a comprehensive understanding applicable across various industries.Key Responsibilities:Participate in all class sessions, assist with instruction, and lead breakout discussions.Deliver lectures and facilitate engaging classroom discussions.Assess and grade student assignments as directed by the course Lecturer.Address student inquiries and concerns promptly.

Columbia University is actively seeking qualified professionals to join our team as part-time Adjunct Associate Faculty for the graduate-level course titled Introduction to Blockchain, Cryptocurrencies & Analytics. This course is designed to impart essential knowledge about blockchain technology and cryptocurrencies to our Master of Science students in Applied Analytics. Topics covered will include cryptographic protocols, hashing, digital signatures, transaction chaining, decentralization through proof of work mining, and smart contracts.The role of an Adjunct Associate Faculty member is pivotal for providing expertise and facilitating the learning process within the course. This position offers an excellent opportunity to gain valuable experience in graduate-level education at Columbia University.

Columbia University is seeking experienced analytics professionals to join our faculty as part-time Adjunct Associate Faculty for a graduate-level course titled Analytics for Cybersecurity Management. This role offers a unique opportunity to contribute your subject matter expertise and support the instructional process for aspiring cybersecurity leaders. Engaging in this capacity will provide valuable exposure to the academic environment at Columbia University.This course serves as a comprehensive introduction to foundational cybersecurity principles, including network security, threat detection, and vulnerability management. It emphasizes the transformative impact of emerging technologies such as AI and machine learning on modern defense strategies. Participants will engage with key frameworks and advanced tools through real-world case studies, gaining insights into the role of analytics in effective threat intelligence, incident response, and regulatory compliance.Students will enhance their practical skills through hands-on exercises and interactive assignments, culminating in a project focused on automating vulnerability analysis. They will learn critical tasks such as log parsing, vulnerability classification, dashboard visualization, and AI-driven anomaly detection, while also addressing ethical, legal, and regulatory issues in cybersecurity. By the conclusion of the course, participants will be equipped to design proactive defense measures and adeptly navigate diverse threat landscapes, leveraging AI and analytics to bolster digital security against evolving cyber threats.Key ResponsibilitiesAttend all class sessions, assist with instruction, lead breakout sessions, and facilitate engaging discussions.Evaluate and grade student assignments and assessments as directed by the course Lecturer.Monitor student progress and address any concerns or inquiries in a timely manner.

Join our team at Columbia University as a part-time Adjunct Associate Faculty for an advanced course on AI User Interfaces for Analytics. This role offers analytics professionals an exceptional opportunity to contribute their expertise while gaining valuable experience in graduate-level education at one of the leading institutions in the world.Key ResponsibilitiesParticipate in all class sessions, assist with instructional delivery, lead breakout discussions, and engage students in meaningful dialogue.Conduct class lectures and oversee instructional activities, ensuring a conducive learning environment.Assess and grade student assignments and assessments as required.

Columbia University is seeking skilled analytics professionals to join us as part-time Adjunct Associate Faculty for a graduate-level course on Artificial Intelligence of Things (AIOT) starting in Fall 2026. This role provides an exceptional opportunity to engage in graduate-level teaching while contributing subject matter expertise and supporting the instructional process.The course aims to equip students with a thorough understanding of IoT technologies and their integration with AI and robotics. Participants will delve into IoT architecture, critical components, and communication protocols, and will gain hands-on experience with IoT platforms, sensors, and data acquisition devices. The curriculum emphasizes practical AIOT applications for real-time decision-making in various sectors, including manufacturing, public safety, smart cities, and healthcare, while also addressing ethical considerations associated with these technologies.Through a combination of conceptual learning and practical assignments, the course features weekly lectures, readings on IoT fundamentals, and biweekly quizzes to evaluate understanding. Students will apply their knowledge through individual assignments and a collaborative term project, ensuring a solid foundation in IoT analytics and AI-driven robotic automation.

Columbia University is seeking skilled analytics professionals to join our faculty as a part-time Adjunct Associate for the graduate-level course Mathematics for AI. As an Adjunct Associate, you will provide essential subject matter expertise and support the instructional process for this course section, gaining valuable exposure to graduate-level teaching at Columbia University.Key Responsibilities:Participate in all class sessions, assist with teaching, and lead breakout sessions to enhance student engagement.Deliver class lectures and facilitate discussions, ensuring a rich learning environment.Assess and grade student assignments and assessments as requested by the course Lecturer.Monitor student inquiries and concerns, providing timely support and guidance.

The School of Professional Studies at Columbia University is on the lookout for a dedicated data analytics professional to join us as a part-time Adjunct Associate Faculty in our graduate course, Applied Analytics Frameworks & Methods I.In today's data-driven world, vast amounts of information are generated at unprecedented speeds through business transactions, online interactions, social media, and various sensors. This influx provides unique opportunities for predicting outcomes and understanding phenomena across diverse fields, including medicine, business, and space exploration. Our course emphasizes supervised learning techniques that facilitate effective predictions and insights. Students will navigate the data-wrangling process, starting with data exploration and foundational methodologies, before diving into supervised learning techniques such as linear regression, decision trees, and support vector machines. Additionally, students will engage in a predictive analytics competition to apply and integrate their learning.As an Adjunct Associate Faculty member, you will play a pivotal role in supporting the instructional process and providing subject matter expertise. This position is an excellent opportunity to gain experience in graduate-level teaching at Columbia University.Key ResponsibilitiesAttend all scheduled class sessions, assist with instruction, lead breakout sessions, and facilitate discussions.Evaluate and grade student work and assessments as directed by the course Lecturer.Address and respond to student concerns and inquiries.

Columbia University invites accomplished analytics professionals to join as part-time Adjunct Associate Faculty for the graduate-level course on Managing Data. This position offers a unique opportunity to gain firsthand experience in graduate-level teaching while providing critical subject matter expertise. As an Adjunct Associate Faculty member, you will support the instructional process and engage with students in a dynamic learning environment.The Managing Data course equips students with essential skills for effective data management, enabling them to leverage data confidently in collaboration with technology teams. The curriculum addresses the challenges posed by diverse data languages and techniques, offering a comprehensive overview of data technologies, database engines, foundational principles, governance processes, and organizational requirements to ensure data quality.Key ResponsibilitiesAttend all class sessions, assist in instructional activities, lead breakout sessions, and facilitate engaging discussions.Evaluate and grade student assignments and assessments as directed by the course Lecturer.Address student inquiries and concerns promptly and effectively.

The School of Professional Studies at Columbia University is actively seeking seasoned industry professionals to join our academic team as part-time Adjunct Associate Faculty for a graduate-level course in Cloud Computing. This position provides a unique opportunity to contribute to the instructional process while gaining valuable experience in graduate-level teaching at Columbia University.The Cloud Computing course is designed to expose analytics students to practical applications and concepts of cloud computing, including infrastructure, administration, and various services and applications. Emphasis will be placed on developing hands-on skills for utilizing cloud services to create distributed and scalable analytics applications.Key ResponsibilitiesParticipate in all class sessions, support instructional delivery, lead breakout sessions, and facilitate engaging discussions.Assess and grade student submissions and evaluations as mandated by the course Lecturer.Address and manage student inquiries and concerns proactively.

The Applied Analytics program at Columbia University is excited to invite seasoned data analytics professionals to join our team as a part-time Associate Faculty  for the graduate-level course Applied Deep Learning and AI. This advanced course immerses students in deep learning concepts, integrating essential components from Statistical Machine Learning. Participants will establish a robust foundation in supervised learning alongside various algorithms and methodologies. Key topics include Support Vector Machines, Neural Networks, Convolutional Neural Networks (CNN), word embeddings, attention mechanisms, transformers, encoder-decoder architectures, Generative Adversarial Networks (GAN), and Reinforcement Learning. Practical applications will provide students with insights on preparing, training, testing, and validating models.An Associate Faculty member plays a pivotal role in delivering subject matter expertise and enhancing the instructional experience for course participants. This position offers an exceptional opportunity to gain invaluable exposure to graduate-level teaching within the prestigious environment of Columbia University.Responsibilities:Attend and engage in all on-campus class sessions, assist with instruction, lead breakout discussions, and facilitate student engagement.Evaluate and assess student work as directed by the course Lecturer.Address student inquiries and concerns proactively.Conduct regular office hours for student support.

The School of Professional Studies at Columbia University is actively seeking qualified candidates for the role of Adjunct Associate Faculty in the graduate-level course on Financial Securities Analysis and Portfolio Management. This part-time position offers a unique opportunity for individuals to gain valuable experience in graduate-level instruction at one of the nation's premier educational institutions.This course delves into the intricate world of financial securities, equipping students with the analytical tools necessary to evaluate financial assets and devise effective investment strategies. It serves as a comprehensive introduction to key investment topics that are crucial for those pursuing careers in investment analysis or portfolio management.Key Responsibilities:Participate in all class sessions, assist in instructional duties, lead breakout discussions, and facilitate engaging classroom interactions.Deliver lectures, oversee instructional activities, and actively participate in classroom conversations.Assess and grade student assignments and evaluations as directed by the course Lecturer.Address student inquiries and concerns, providing support and guidance throughout the course.

Columbia University is on the lookout for analytics professionals to join as part-time Adjunct Associate Faculty for an advanced course on Applied Generative AI in Fall 2026. This role offers an incredible opportunity to gain firsthand experience in graduate-level teaching while contributing to the academic community.The Applied Generative AI course introduces students to the fascinating field of generative modeling, a vital aspect of machine learning. Participants will explore theoretical foundations, practical applications, and gain hands-on experience using high-level APIs and open-source foundational models. The curriculum covers essential methodologies for employing, fine-tuning, and programmatically working with cutting-edge Generative AI tools. Students will also delve into the intricacies of low-level model implementations, empowering them to train and understand models based on their data, from foundational principles. Various generative models, including Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and Transformers, will be examined, with applications spanning text, image, audio, and video generation.Key ResponsibilitiesParticipate in all class sessions, assist with instructional duties, lead breakout sessions, and facilitate engaging discussions.Assess and grade student assignments and evaluations as directed by the course Lecturer.Address student inquiries and concerns in a timely and supportive manner.

At MongoDB, we are looking for a dynamic Business Operations & Strategy Associate to spearhead our strategic and operational endeavors. This role positions you at the crossroads of operations, analytics, finance, and product management. You will collaborate with internal teams to tackle intricate business challenges and drive impactful solutions.The ideal candidate is a proactive self-starter who excels in clear communication with leadership while managing multiple priorities effectively. You are committed to seeing projects through from inception to completion, delivering value rapidly, and thriving in a fast-paced, challenging environment.We are particularly interested in candidates located in the New York City area, as our hybrid work model requires 2-3 days in the office each week.

Columbia University's School of Professional Studies (SPS) is seeking qualified candidates for a part-time position as an Adjunct Lecturer to instruct a graduate-level course titled Introduction to Blockchain, Cryptocurrencies & Analytics. This course is designed for students pursuing a Master of Science degree in Applied Analytics and will cover foundational concepts in blockchain technology, cryptocurrency mechanisms, cryptographic protocols, hashing, digital signatures, transaction chaining, mining based on proof of work, and smart contracts.

CLEAR is on a mission to revolutionize secure identity solutions for the future, making experiences safer and more seamless across both physical and digital realms. With over 38 million members and an expanding global partner network, CLEAR's innovative identity platform is redefining how individuals live, work, and travel. Whether at airports, stadiums, or in everyday situations, CLEAR delivers frictionless experiences to its users. Our team comprises more than 3,000 dedicated ambassadors stationed at airports nationwide, enrolling hundreds of thousands of travelers into our CLEAR+ subscription service annually, while ensuring that existing members enjoy a flawless travel experience. As we continue to grow, we seek an experienced Analytics Manager to lead critical reporting and operational workflows that support this dynamic team.

Join the International Research Institute of Climate and Society as an Adjunct Lecturer in Strategic Communication specializing in Digital Media & Analytics. This role offers a unique opportunity to engage with students through both on-campus and hybrid learning environments. You will be responsible for delivering high-quality instruction, fostering critical thinking, and guiding students in understanding the intricacies of strategic communication in the digital age.

On-site attendance required 3-4 days a week in our New York, NY office.LG Ad Solutions stands at the forefront of the connected TV (CTV) and cross-screen advertising industry. Our commitment to innovation has established us as a global leader, providing cutting-edge advertising solutions that align perfectly with the dynamic digital media landscape.Job Overview:We are in the process of creating a robust Data Analytics and Operations team within our Research department to enhance the ownership of our analytics outputs and ensure the preparedness of our core data assets. This pivotal role is dedicated to validating that our data is accurate, actionable, and transformed into insights that are ready for business and client use.You will thrive in ambiguous environments, establish standards in the absence of guidelines, and be accountable for converting intricate data into dependable, consumable formats. Comfort with exploring unknown territories, tracing problems across systems, and adapting strategies as you progress will be crucial.Key Responsibilities:Engage with extensive and complex datasets to analyze data behavior, quality, and downstream effects.Interpret and document analytics outputs, ensuring adherence to acceptance criteria for effective consumption.Articulate findings, risks, and recommendations clearly to both technical and non-technical stakeholders.Assist in maintaining workflows that bolster analytics delivery, incorporating automation and AI-enhanced tools when applicable.Collaborate closely with engineering, research, and product teams to identify issues and communicate resolutions.Spot gaps in data reliability or usability and take proactive measures to address them.Contribute to establishing an analytics culture that emphasizes ownership, clarity, and impactful results over bureaucratic processes.Automate procedures on a large scale – transitioning manual, repetitive data tasks into efficient, transparent workflows.Prioritize accuracy, clarity, and dependability in outputs.Conduct well-defined analyses and investigations under guidance.Qualifications:Exceptional analytical and problem-solving abilities, with a proficiency in navigating uncertain situations.Minimum of 2 years of experience with SQL or Python, comfortable working with both raw and intermediate datasets.Strong communication skills, capable of conveying complex information to diverse audiences.Experience in data analytics, operations, or a related field is preferred.

About Knoetic: We are on a mission to create the ultimate “Second Brain” for Chief People Officers and their HR teams. With backing from $50 million from esteemed investors including Accel, EQT, and Menlo, along with support from influential angels such as Adam Grant and Shreyas Doshi, we are poised for growth.Our unique dual approach combines a “right brain” platform, CPOHQ, which crowdsources best practices and templates from top leaders, with our “left brain” solution, People Analytics, which provides companies with valuable insights and analytics to enhance operations.We cater to thousands of C-level executives from renowned companies like Figma, Box, Notion, and OpenAI, offering a seamless blend of consumer and enterprise products. OVERVIEW We are looking for a proactive BizOps Associate who is eager to contribute to the success of various departments, including GTM, Product, Community, Recruiting, and more.This role is ideal for individuals who aspire to:Gain insight into the operations of a dynamic startup.Engage in and manage cross-functional projects across diverse teams.Collaborate closely with our General Manager/Chief of Staff and other leaders.Learn the intricacies of scaling a high-growth startup from within.Face daily challenges and accelerate personal growth beyond traditional career paths.Location: This position is fully remote, with expectations to align with NYC hours during onboarding and gradually transition to a sustainable work rhythm. Successful candidates will thrive in an asynchronous work environment, utilizing tools like documents, Slack, and Looms for communication and documentation while taking extreme ownership of their responsibilities. ABOUT THE ROLE We refer to this individual contributor role as a “Swiss Army Knife,” where you will support critical company initiatives and work closely with leadership to execute them effectively.As a versatile generalist and operator, you will quickly adapt to new areas, drive hands-on projects, and deliver tangible results across GTM, content, community, and more.

Columbia University's School of Professional Studies (SPS) is actively seeking qualified candidates for the role of part-time Adjunct Lecturer to join our esteemed faculty team for the graduate-level Capstone course titled Solving Real World Problems with Analytics. This course serves as the pivotal final experience for students pursuing a Master of Science degree in Applied Analytics, where they will leverage their academic knowledge to tackle real-world challenges through consulting engagements with leading corporate or institutional sponsors. Our Capstone sponsors encompass a diverse array of industries, including finance, healthcare, consumer retail, digital media, and non-profit organizations, ranging from large global corporations to innovative startups and esteemed nonprofits.As an Adjunct Lecturer, you will serve as a primary instructor and an integral part of our faculty community.Key Responsibilities:Attend all scheduled class sessions, held weekly on either Wednesday from 6:10 PM to 8 PM ET, Thursday from 6:10 PM to 8 PM ET, or Thursday from 8:10 PM to 10 PM ET.Act as a mentor and coach to students, facilitating communication between students and corporate project sponsors, and participating in meetings with sponsor companies and student project teams.Address student inquiries and concerns effectively.Hold regular office hours to provide additional support to students.Evaluate and grade student submissions and assessments.