UstackSchool is a multi-award winning edtech career Company that empowers students (local & international students) and professionals (aspiring career professionals, Junior to Mid-Level professionals, Rising to leadership, founders and entrepreneurs) to build, grow a career and excel in the competitive global job market and secure their their dream jobs an...
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Position Overview
- As a Product Management Instructor, you will design, deliver, and continuously improve learning experiences that equip students with the skills to succeed in real-world product roles. You will mentor learners through practical exercises, case studies, and project-based learning, bridging theory and practice. Collaborating with curriculum designers and product teams, you will align lessons with industry standards and measurable learner outcomes.
Who You Are
- A proactive, action-oriented educator with minimal supervision required, passionate about mentoring and guiding students.
- A problem-solving thinker who can simplify complex product challenges for learners.
- Customer-obsessed, understanding both product users and learners’ needs.
- Highly collaborative, inclusive, and committed to creating engaging learning experiences.
- Strong communicator, detail-oriented, and adaptable in dynamic environments.
- Humble, hardworking, ambitious, and committed to lifelong learning.
Key Responsibilities
Curriculum Strategy, Design & Delivery
- Define, prioritize, and own the curriculum product roadmap, ensuring alignment with organizational goals, learner outcomes, and market demands.
- Design and deliver a comprehensive, data-driven product management curriculum covering core areas: strategy, discovery, execution, growth, leadership, and analytics.
- Develop interactive workshops, live simulations, case studies, sprints, and capstone projects that mirror real-world product challenges faced by agile teams.
- Integrate modern product management and agile frameworks such as AARRR, North Star Metrics, OKRs, Scrum, Kanban, and Lean Startup methodologies.
- Incorporate industry-standard tools (Mixpanel, GA4, Amplitude, Jira, Trello, Figma, Miro, Confluence) into learning experiences to enhance practical skills.
- Build and maintain a progressive learning roadmap that transitions learners from foundational principles to advanced strategic decision-making.
- Collaborate with content creators, instructional designers, and subject matter experts to ensure that the learning experience remains cohesive, outcome-driven, and engaging.
Learner Coaching, Mentorship & Performance Management
- Serve as the Product Manager of the learner journey, ensuring that every stage — from onboarding to capstone completion — delivers measurable value.
- Provide structured guidance across project ideation, discovery, design, development, testing, and iteration.
- Guide students through practical product exercises, including market research, roadmap creation, prioritization, and experimentation.
- Mentor learners on soft skills and technical skills, including stakeholder management, teamwork, communication, and decision-making.
- Facilitate hands-on product management activities, including market analysis, hypothesis validation, roadmap creation, prioritization exercises, and product experimentation.
- Conduct individual and group mentoring sessions to provide personalized, data-driven feedback on learner projects, ensuring clarity, quality, and growth.
- Promote a growth mindset among learners, emphasizing iterative improvement, experimentation, resilience, and reflective practice.
- Use key performance indicators (KPIs), learning analytics, and project-based assessments to monitor learner progress and performance.
- Provide regular reports on learner engagement, satisfaction, skill acquisition, and career outcomes to leadership and program stakeholders.
Hands-On Learning & Simulations
- Lead simulated product sprints and experiments to reinforce learning objectives.
- Coach learners on analyzing user behavior, funnel optimization, and growth experimentation.
- Demonstrate real-world decision-making and trade-offs in product strategy, UX, and analytics.
Collaboration & Community Engagement
- Partner with curriculum and content teams to update courses with latest industry trends and tools.
- Facilitate community sessions, group projects, and peer reviews to strengthen learner engagement.
- Collaborate with alumni and industry partners to provide guest sessions, mentorship, and networking opportunities.
Assessment, Evaluation & Continuous Improvement
- Define and apply structured evaluation rubrics to assess learner assignments, projects, and capstone deliverables consistently.
- Use feedback loops, learner surveys, Net Promoter Scores (NPS), and retrospective sessions to identify improvement areas and enhance curriculum effectiveness.
- Conduct data-driven retrospectives after each cohort or sprint cycle to identify what worked, what didn’t, and how to iterate for better outcomes.
- Stay ahead of emerging trends in product management, technology, analytics, and agile frameworks, ensuring the curriculum remains current and competitive.
- Translate performance data and learner feedback into actionable backlog items and prioritized curriculum enhancements.
Metrics & Reporting
- Track and report on learner engagement, satisfaction, and outcomes.
- Provide leadership with actionable insights for curriculum improvement and student success.
- Maintain clear records of learner progress, cohort metrics, and teaching impact.
Cross-Functional Collaboration
The department collaborates closely with:
- Product & Curriculum Design Team (for course development and innovation).
- Marketing & Admissions (to align academic offerings with market needs).
- Student Success and Career Services (to connect learning outcomes with career pathways and future proof careers).
- Technology Team (to optimise the LMS and digital learning experience).
Qualifications
- Bachelor's Degree in Computer Science or a related field.
- Proven experience in product management - strategy and execution.
- Effective communication skills and the ability to convey product concepts clearly.
- A passion for educating and inspiring young females to pursue careers in technology and digital marketing.
- Patience, adaptability, and the ability to connect with students from diverse backgrounds.
- Strong organisational skills and a creative approach to product management education.
- Certification is a Plus
go to method of application »
Position Overview
- As the Agile Product Owner for the Product Management Career Path and Career Immersion Program, you will own the strategy, design, delivery, and continuous improvement of immersive, hands-on learning experiences that prepare learners for real-world product roles.
- This role blends Agile product ownership, curriculum design, experiential learning leadership, and structured mentorship. You will guide learners through work experience programs and rotational career immersions, where they build or contribute to live projects using industry-standard tools, agile methods, and professional collaboration practices.
- You’ll also serve as a career coach, helping participants strengthen both technical and soft skills, prepare for interviews, and transition confidently into job placements or leadership tracks.
Key Responsibilities
Curriculum Strategy, Design & Delivery
- Define, prioritize, and own the curriculum product roadmap, ensuring alignment with organizational goals, learner outcomes, and market demands.
- Design and deliver a comprehensive, data-driven product management curriculum covering core areas: strategy, discovery, execution, growth, leadership, and analytics.
- Develop interactive workshops, live simulations, case studies, sprints, and capstone projects that mirror real-world product challenges faced by agile teams.
- Integrate modern product management and agile frameworks such as AARRR, North Star Metrics, OKRs, Scrum, Kanban, and Lean Startup methodologies.
- Incorporate industry-standard tools (Mixpanel, GA4, Amplitude, Jira, Trello, Figma, Miro, Confluence) into learning experiences to enhance practical skills.
- Build and maintain a progressive learning roadmap that transitions learners from foundational principles to advanced strategic decision-making.
- Collaborate with content creators, instructional designers, and subject matter experts to ensure that the learning experience remains cohesive, outcome-driven, and engaging.
Learner Coaching, Mentorship & Performance Management
- Serve as the Product Owner of the learner journey, ensuring that every stage — from onboarding to capstone completion — delivers measurable value.
- Provide structured guidance across project ideation, discovery, design, development, testing, and iteration.
- Mentor learners on soft skills and technical skills, including stakeholder management, teamwork, communication, and decision-making.
- Facilitate hands-on product management activities, including market analysis, hypothesis validation, roadmap creation, prioritization exercises, and product experimentation.
- Conduct individual and group mentoring sessions to provide personalized, data-driven feedback on learner projects, ensuring clarity, quality, and growth.
- Promote a growth mindset among learners, emphasizing iterative improvement, experimentation, resilience, and reflective practice.
- Use key performance indicators (KPIs), learning analytics, and project-based assessments to monitor learner progress and performance.
- Provide regular reports on learner engagement, satisfaction, skill acquisition, and career outcomes to leadership and program stakeholders.
Hands-On Learning & Simulations
- Lead real-world product sprint simulations, enabling learners to experience the full agile cycle — from backlog refinement and sprint planning to review and retrospective.
- Coach learners on data interpretation, user research, funnel optimization, and A/B testing using real or simulated datasets.
- Facilitate workshops on trade-off decision-making, demonstrating the balance between customer needs, business goals, and technical feasibility.
- Reinforce learning objectives through scenario-based role plays, including product launches, stakeholder negotiations, and roadmap presentations.
- Apply agile best practices to structure learning sprints, retrospectives, and continuous improvement cycles within the curriculum.
- Supervise learners working on employer-linked projects that demonstrate tangible business value and portfolio impact.
Collaboration, Cross-Functional Alignment & Community Engagement
- Work cross-functionally with curriculum, content, data, and operations teams to align course development with strategic goals and market trends.
- Partner with marketing and alumni teams to build a thriving learning community that supports peer learning, collaboration, and ongoing mentorship.
- Host and moderate community events, group discussions, and live Q&A sessions to promote networking, shared learning, and industry engagement.
- Collaborate with industry leaders, guest mentors, and alumni to deliver expert sessions, fireside chats, and practical case studies that enrich the learning experience.
- Represent the curriculum at internal reviews, product demos, and external education forums, acting as the voice of the learner and advocate for continuous innovation.
Assessment, Evaluation & Continuous Improvement
- Define and apply structured evaluation rubrics to assess learner assignments, projects, and capstone deliverables consistently.
- Use feedback loops, learner surveys, Net Promoter Scores (NPS), and retrospective sessions to identify improvement areas and enhance curriculum effectiveness.
- Conduct data-driven retrospectives after each cohort or sprint cycle to identify what worked, what didn’t, and how to iterate for better outcomes.
- Stay ahead of emerging trends in product management, technology, analytics, and agile frameworks, ensuring the curriculum remains current and competitive.
- Translate performance data and learner feedback into actionable backlog items and prioritized curriculum enhancements.
Metrics, Reporting & Impact Measurement
- Establish and track key success metrics for the curriculum, including:
- Learner engagement and satisfaction rates
- Skill mastery and competency progression
- Project completion and capstone success
- Career placement or advancement outcomes
- Provide quarterly impact reports to leadership summarizing curriculum effectiveness, learner outcomes, and opportunities for innovation.
- Maintain transparent documentation of learner progress, program metrics, and agile sprint outcomes for internal stakeholders and external partners.
- Use data visualization dashboards and reporting tools to communicate performance insights effectively.
Career Immersion Program - Internships
- Act as a strategic mentor and program owner for the Career Immersion Program — a multi-department, hands-on experience designed to accelerate career growth and help participants identify their best-fit roles.
- Oversee rotations across product, data, design, marketing, and operations, ensuring structured exposure to diverse business functions.
- Ensure learners gain practical, workplace-ready skills through real projects, industry-linked challenges, and cross-functional collaboration.
- Drive the program’s career-focused outcomes, helping participants build transferable skills, professional networks, and career clarity.
- Emphasize immersion and experiential learning — where participants solve live business problems, contribute to product development, and engage with real stakeholders.
- Position the program as a bridge between bootcamps and internships, providing the structure of mentorship, the authenticity of employer-linked projects, and the flexibility of scalable learning cohorts.
Performance Indicators
- Successful end-to-end delivery of work experience and immersion projects.
- High learner engagement, NPS, and completion rates.
- Demonstrated improvement in job placement and interview readiness metrics.
- Employer satisfaction and repeat partnerships for project collaboration and talent hiring.
- Portfolio-ready deliverables and demonstrable learner growth across cohorts.
- Increased visibility and reputation of the program as a career accelerator and industry pipeline.
Cross-Functional Collaboration
The department collaborates closely with:
- Product & Curriculum Design Team (for course development and innovation).
- Marketing & Admissions (to align academic offerings with market needs).
- Student Success and Career Services (to connect learning outcomes with career pathways and future proof careers).
- Technology Team (to optimise the LMS and digital learning experience).
Qualifications
- Bachelor's Degree in Computer Science or a related field.
- Proven experience in product management - strategy and execution.
- Effective communication skills and the ability to convey product concepts clearly.
- A passion for educating and inspiring young females to pursue careers in technology and digital marketing.
- Patience, adaptability, and the ability to connect with students from diverse backgrounds.
- Strong organisational skills and a creative approach to product management education.
- Certification is a Plus
go to method of application »
About the Role
This role is a strategic and hands-on teaching position for someone passionate about mentoring and guiding learners in the fields of Agile project management, Waterfall delivery, Disciplined Agile (DA), Scrum, Kanban, Lean, and hybrid project approaches.
You will think like a project leader, communicate like an educator, and design learning experiences that turn real-world delivery challenges into actionable skills. Your work will empower learners to plan, manage, and deliver projects successfully across different methodologies and organizational contexts.Position Overview
- As an Agile Project Manager Instructor, you will design, deliver, and continuously refine project management learning programs that prepare students for success in both Agile and traditional delivery models. You will mentor learners through practical simulations, project-based learning, and case studies, bridging theory with hands-on practice. Working closely with curriculum designers and industry professionals, you will ensure lessons are aligned with Agile best practices, Waterfall methodologies, Disciplined Agile (DA), certifications, and measurable learner outcomes.
Key Responsibilities
Curriculum Strategy, Design & Delivery
- Develop and maintain a comprehensive project management curriculum covering Agile, Scrum, Kanban, Lean, Waterfall, and Disciplined Agile (DA).
- Design interactive workshops, sprint simulations, case studies, and capstone projects reflecting real-world Agile, Waterfall, and hybrid project challenges.
- Incorporate industry-standard tools such as Jira, Trello, Asana, Microsoft Project, Confluence, and Miro.
- Build a progressive learning pathway from foundational project management principles to advanced Agile and hybrid delivery practices.
Learner Mentorship, Work Experience & Career Coaching
- Guide students through Agile ceremonies, backlog management, sprint planning, retrospectives, stakeholder communication, and Waterfall project lifecycles.
- Conduct one-on-one mentoring sessions with constructive feedback on learner assignments, simulations, and project portfolios.
- Encourage a growth mindset, teaching learners to adapt, iterate, and select the best delivery approach (Agile, Waterfall, or hybrid) for a given context.
- Track learner progress using KPIs, project outcomes, and competency-based assessments.
Hands-On Learning & Simulations
- Lead Agile sprints, Waterfall planning sessions, and Disciplined Agile case studies to reinforce learning outcomes.
- Coach learners on value delivery, project governance, stakeholder engagement, and adaptability across methodologies.
- Demonstrate real-world trade-offs between predictive (Waterfall) and adaptive (Agile/DA) approaches.
Collaboration, Community & Industry Engagement
- Partner with curriculum and program teams to keep content aligned with industry standards, certifications (PMP, PMI-ACP, DA, CSM), and evolving practices.
- Facilitate group projects, peer reviews, and community sessions to deepen learner engagement.
- Collaborate with industry professionals and alumni for guest lectures, mentoring, and networking opportunities.
Assessment, Reporting & Continuous Improvement
- Evaluate student projects and capstone deliverables with structured rubrics and clear feedback.
- Use learner feedback, surveys, and analytics to continuously improve course content and delivery.
- Stay up-to-date with emerging frameworks (Agile, DA, SAFe) and project management trends.
- Monitor and report on learner engagement, satisfaction, and outcomes.
- Provide insights to leadership for curriculum enhancement and student success.
- Maintain accurate records of learner performance, progress, and teaching impact.
Cross-Functional Collaboration
The department collaborates closely with:
- Product & Curriculum Design Team (for course development and innovation).
- Marketing & Admissions (to align academic offerings with market needs).
- Student Success and Career Services (to connect learning outcomes with career pathways and future proof careers).
- Technology Team (to optimise the LMS and digital learning experience).
Qualifications
- Proven experience as a Project Manager or in a similar leadership role.
- In-depth knowledge of project management frameworks (Agile, Scrum, Kanban, Waterfall, and ideally Disciplined Agile).
- Proficiency in project management tools (e.g., Jira, Trello, Asana, Microsoft Project, Confluence).
- PMP, PRINCE2, Agile, or Scrum Master certification is a strong plus.
- Strong organisational, communication, and facilitation skills.
- Prior teaching, coaching, or mentoring experience is an added advantage.
go to method of application »
Position Overview
- As a Data Analytics Instructor, you will design, deliver, and continuously evolve data education programs that bridge the gap between classroom learning and professional work experience.
- You’ll mentor learners through real-world data projects, case studies, and simulations, ensuring they gain both technical competence and strategic business thinking. Working with curriculum and program teams, you will align course content with global industry standards, in-demand tools, and measurable learner outcomes.
- You will also serve as a mentor in our Work Experience and Rotational Career Immersion Programs, where learners:
- Participate in real-world projects that simulate professional data challenges.
- Gain end-to-end project delivery experience using industry-standard tools.
- Build soft and technical skills required for workplace success.
- Receive structured mentorship and career readiness coaching for interviews, portfolio development, and job placement.
Who You Are
- A data professional with practical experience transforming data into actionable insights.
- A proactive and action-oriented educator who thrives in dynamic environments.
- A problem-solver who can simplify complex data concepts for learners at all levels.
- Empathetic and learner-focused, committed to helping others achieve career success.
- Collaborative, inclusive, and communicative, balancing independence with teamwork.
- Adaptable and curious, constantly learning and improving your teaching approach.
Key Responsibilities
Curriculum Strategy, Design & Delivery
- Own and deliver a comprehensive, data analytics, and business intelligence curriculum covering:
- Data collection, cleaning, and transformation
- Data visualization, dashboards, and reporting
- Business intelligence strategy, KPIs, and decision support
Predictive and prescriptive analytics
- Data-driven business strategy and decision-making
- Develop interactive workshops, dashboards, simulations, and case studies that replicate real-world BI challenges and business scenarios.
- Integrate industry-standard BI and analytics tools, including:
- Analytics & Visualization: Power BI, Tableau, Excel, Google Analytics 4
- Data Management & SQL: SQL, Python (Pandas, NumPy, Matplotlib, Seaborn)
- Cloud & Workflow Tools: Google Sheets, Notion, Jupyter, GitHub
- BI Platforms & Reporting: Looker Studio, Microsoft BI Suite, HubSpot reporting
- Create a progressive learning roadmap, from fundamentals (data literacy, descriptive analytics) to advanced topics (predictive modeling, prescriptive insights, and dashboard automation).
Learner Mentorship, Work Experience & Career Coaching
- Serve as a mentor in our Work Experience and Career Immersion Programs, guiding learners as they plan, execute, and optimize real data analytics projects.
- Provide structured coaching on data analytics.
- Mentor learners on both technical skills and soft skills (e.g., presentation, communication, collaboration).
- Conduct career readiness workshops focused on portfolio creation, resume optimization, LinkedIn branding, and interview preparation.
- Support learners in building portfolio-worthy data analytics projects, case studies, and campaign reports that demonstrate measurable results.
- Provide individualized feedback and performance tracking, helping learners set goals and measure improvement.
Hands-On Learning & Simulations
- Lead data hackathons, sprint challenges, and simulations to reinforce theory with practice.
- Coach learners on data storytelling, visualization best practices, and insight communication for business contexts.
- Lead BI dashboard projects, analytics sprints, and scenario simulations to reinforce practical learning.
- Demonstrate real-world decision-making trade-offs in areas like accuracy, efficiency, and strategic reporting.
Collaboration, Community & Industry Engagement
- Partner with curriculum, content, and product teams to keep learning material up-to-date with evolving tools and trends.
- Facilitate group projects, peer reviews, and live community sessions to boost collaboration and engagement.
- Facilitate cross-functional BI and analytics projects, collaborating with marketing, product, and finance teams.
- Collaborate with industry experts, alumni, and mentors to provide guest lectures, mentorship opportunities, and professional networking.
Assessment, Reporting & Continuous Improvement
- Evaluate student submissions and capstone deliverables using structured rubrics and competency assessments.
- Use analytics, surveys, and feedback loops to continuously enhance content, tools, and teaching methods.
- Conduct data-driven retrospectives for each cohort to assess engagement, campaign performance, and job outcomes.
- Collaborate with leadership to generate reports on learner performance, placement rates, and program ROI.
- Evaluate learner BI dashboards, analytics reports, and strategic recommendations using structured rubrics.
- Stay up-to-date with emerging analytics tools, trends, and frameworks to maintain program excellence.
Cross-Functional Collaboration
The department collaborates closely with:
- Product & Curriculum Design Team (for course development and innovation).
- Marketing & Admissions (to align academic offerings with market needs).
- Student Success and Career Services (to connect learning outcomes with career pathways and future proof careers).
- Technology Team (to optimise the LMS and digital learning experience).
Qualifications
- Minimum 3+ years of professional experience in Data Analytics, Business Intelligence, or related roles.
- Practical experience with Data analytics tools, BI tools, dashboarding, and business reporting.
- Prior teaching, mentoring, or coaching experience (bootcamps, training schools, or online instruction preferred).
- Proficiency in data analytics tools and programming languages (Excel, SQL, Power BI, Tableau, Python).
- Strong ability to simplify technical topics and communicate effectively with diverse learners.
- Experience with LMS/CMS platforms and virtual teaching tools.
- Strong organization, empathy, and communication skills.
- Willingness to share real-world industry experience and personal insights.
- Self-driven, disciplined, and able to work autonomously in a remote setup.
- Certifications in Data Analytics is a plus
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About the Role
- As an AI Automation and Governance Instructor, you will design, build, and deliver comprehensive training in AI automation, governance, and responsible AI deployment. You’ll develop high-quality learning materials (notebooks, slides, simulations, and assessments), lead engaging lectures and workshops, and continuously improve content based on learner and client feedback.
- You’ll operate at the forefront of AI transformation—teaching not only how to build AI automation systems but also how to govern, audit, and deploy them ethically and safely.
- Instructors serve as mentors, thought leaders, and role models for learners enrolled in our AI Automation & Governance Program, which prepares professionals to deliver compliant, ethical, and efficient AI-driven automation solutions across industries.
Curriculum Strategy, Design & Delivery
- Design and deliver curriculum on AI automation, safety, and governance frameworks (e.g., OECD, EU AI Act, ISO/IEC 42001).
- Develop course content tailored to Nigeria and UK apprenticeship standards, ensuring global relevance.
- Incorporate responsible AI principles and risk management methodologies into all modules.
- Translate complex topics—such as model transparency, explainability, and AI system lifecycle management—into accessible, practical learning.
- Align content with enterprise AI transformation goals, emphasizing accountability, auditability, and ethical deployment.
AI Automation, Safety & Governance Engineering
- Hands-on experience deploying and monitoring AI automation solutions across enterprise workflows.
- Demonstrate AI model governance practices—from data lineage and bias detection to compliance documentation.
- Introduce learners to AI auditing frameworks, AI risk registers, and compliance impact assessments (AIA/PIA).
- Showcase practical applications of AI workflow tools (e.g., Zapier, n8n, Robocorp) integrated with safety and governance protocols.
- Educate on AI observability and policy enforcement tools to ensure responsible automation.
Learner Mentorship, Work Experience & Career Coaching
- Mentor students in AI governance processes, automation lifecycle management, and stakeholder engagement.
- Conduct one-on-one mentorship sessions, guiding learners through their automation and governance projects.
- Foster a growth mindset, helping learners approach AI development with a blend of innovation and accountability.
- Track learner progress using governance maturity metrics, project KPIs, and risk-assessment performance indicators.
- Support learners in developing AI compliance portfolios aligned with industry best practices.
Hands-On Learning & Simulations
- Facilitate practical labs in AI workflow automation, governance documentation, and compliance evaluation.
- Guide learners through end-to-end AI project simulations—from automation design to responsible deployment.
- Build learner competence in prompt engineering, LLM integration, model validation, and AI audit trails.
- Provide real-world case studies involving AI incidents, governance failures, and ethical decision-making scenarios
Collaboration & Community Engagement
- Collaborate with the curriculum and program design teams to align learning outcomes with industry certifications and ethical AI frameworks.
- Host guest sessions with AI ethics and governance professionals, building an expert learning community.
- Lead group capstone projects integrating automation and governance principles for enterprise use cases.
- Encourage peer learning, accountability circles, and governance review boards to simulate industry practice.
Assessment & Continuous Improvement
- Evaluate student projects and capstone deliverables using structured rubrics aligned with AI governance standards.
- Use learner feedback, analytics, and industry insights to iterate content and delivery models.
- Stay current with emerging AI policies, frameworks, and compliance regulations to ensure content relevance.
- Contribute to internal discussions on AI ethics, governance maturity, and automation best practices.
Metrics & Reporting
- Monitor and report on learner performance, engagement, and compliance understanding.
- Provide actionable insights for curriculum refinement and learner success tracking.
- Maintain transparent records of learner outcomes, governance competencies, and instructional impact.
Cross-Functional Collaboration
The department collaborates closely with:
- Product & Curriculum Design Team (for course development and innovation).
- Marketing & Admissions (to align academic offerings with market needs).
- Student Success and Career Services (to connect learning outcomes with career pathways and future proof careers).
- Technology Team (to optimise the LMS and digital learning experience).
Qualifications
- 3+ years of experience in AI automation, governance, or compliance-led technology delivery.
- Proven expertise in AI process automation and ethical AI governance (enterprise or consulting environment).
- Solid understanding of AI frameworks, risk controls, and governance standards (e.g., ISO/IEC, NIST AI RMF).
- Proficiency in AI automation tools such as n8n, Zapier, UiPath, or Power Automate.
- Familiarity with AI auditing, compliance reporting, and policy alignment.
- Strong communication, facilitation, and mentoring skills.
- Prior teaching, coaching, or training experience preferred.
- Certifications in AI ethics, governance, or automation engineering are a strong advantage.
- Working knowledge of project and change management tools (e.g., Jira, Miro, HubSpot).
go to method of application »
About the Role
- This role is a strategic and hands-on position for someone passionate about teaching, mentoring, and guiding learners at the intersection of marketing, user experience, data-driven decision-making, and growth experimentation.
- You will think like a marketing leader, communicate like an educator, and design learning experiences that translate real-world product challenges into actionable skills. Your work will empower learners to launch, scale, and optimise digital marketing strategies and campaigns effectively.
Position Overview
- As a Digital Marketing Instructor you will design, deliver, and continuously evolve a hands-on, results-driven learning experience that prepares learners to become high-performing digital marketing professionals.
- You’ll combine your real-world marketing expertise with instructional design, mentorship, and data-driven insights to help learners gain both strategic understanding and practical execution skills in digital marketing. You will also serve as a mentor in the Career Immersion and Work Experience Programs, guiding learners as they work on real-world marketing projects with measurable outcomes, using industry-standard tools and techniques.
- Beyond instruction, you will play a key role as a career coach — helping learners develop confidence, interview skills, portfolios, and strategies to successfully launch or advance their marketing careers.
Key Responsibilities
Curriculum Strategy, Design & Delivery
- Own and deliver a comprehensive, data-driven digital marketing curriculum that covers core areas such as strategy, branding, performance marketing, SEO, social media, paid ads, analytics, automation, and content marketing.
- Develop interactive workshops, campaigns, simulations, and case studies that replicate real-world marketing challenges and client briefs.
- Integrate modern marketing frameworks such as AIDA, RACE, STP, Funnel Marketing, Growth Loops, and Omni-channel Strategy.
- Incorporate industry-standard tools including Google Ads, Meta Business Suite, LinkedIn Ads, HubSpot, Mailchimp, SEMrush, Google Analytics 4, Notion, and Canva.
- Build a progressive learning roadmap that transitions learners from foundational knowledge to advanced marketing strategy and campaign execution.
- Collaborate with content and curriculum teams to align teaching materials with current trends, algorithm changes, and market dynamics.
Learner Mentorship, Work Experience & Career Coaching
- Serve as a mentor and campaign lead in our Work Experience and Rotational Career Immersion Programs, guiding learners as they plan, execute, and optimize real marketing campaigns for live or partner projects.
- Provide structured coaching on marketing analytics, campaign management, conversion optimization, audience targeting, and creative strategy.
- Mentor learners on both technical skills (e.g., ad setup, tracking, A/B testing) and soft skills (e.g., presentation, communication, collaboration).
- Conduct career readiness workshops focused on portfolio creation, resume optimization, LinkedIn branding, and interview preparation.
- Support learners in building portfolio-worthy marketing projects, case studies, and campaign reports that demonstrate measurable results.
- Guide learners in understanding marketing funnels, attribution, automation tools, and data interpretation to drive business growth.
- Provide individualized feedback and performance tracking, helping learners set goals and measure improvement.
Hands-On Learning & Simulations
- Lead marketing campaign simulations and sprints to give learners a hands-on experience with content planning, paid media execution, and analytics reporting.
- Oversee end-to-end delivery of real-world marketing projects, from ideation to performance evaluation.
- Facilitate campaign retrospectives to analyze what worked, what didn’t, and how to improve ROI.
- Encourage learners to apply growth experimentation, automation, and A/B testing to optimize results.
- Supervise projects that align with real client objectives and deliver quantifiable outcomes (e.g., lead generation, engagement, conversion rate).
- Teach hands-on digital marketing skills: SEO, social media, Google Ads, email marketing, content creation, and analytics.
- Deliver engaging lectures, real-world campaigns, and marketing workshops.
- Proficiency in Creative Designs and Creative Media A/B Testing
- Strong presentation, mentoring, and project-based teaching skills.
- Certifications (Google, Meta, HubSpot) are a plus.
Collaboration, Community & Industry Engagement
- Collaborate with curriculum, operations, and career teams to ensure a seamless learner experience from classroom to workplace.
- Partner with employers, agencies, and alumni mentors to co-design projects, host guest lectures, and deliver portfolio showcases.
- Facilitate peer-to-peer learning, community sessions, and feedback circles to build collaborative learning environments.
- Represent the program at industry events, webinars, and digital marketing forums to showcase learner projects and build employer relationships.
- Advocate for learner success, ensuring that both technical proficiency and professional development remain top priorities.
Assessment, Reporting & Continuous Improvement
- Evaluate learner progress using structured rubrics, campaign performance data, and project outcomes.
- Use analytics, surveys, and feedback loops to continuously enhance content, tools, and teaching methods.
- Conduct data-driven retrospectives for each cohort to assess engagement, campaign performance, and job outcomes.
- Collaborate with leadership to generate reports on learner performance, placement rates, and program ROI.
- Stay updated with emerging marketing technologies, algorithms, and industry best practices to ensure curriculum relevance.
Career Immersion Program - Internships
- Act as a lead mentor for the Career Immersion Program, a multi-department, hands-on experience that exposes learners to different areas of digital marketing and related business functions.
- Oversee learner rotations through paid ads marketing, content creation, SEO, paid media, email marketing, analytics, and brand strategy, ensuring exposure to cross-functional collaboration.
- Ensure participants gain end-to-end marketing campaign experience — from audience research to creative execution and performance reporting.
- Guide learners in using marketing collaboration tools (Slack, Asana, Airtable, or Monday.com) to simulate real agency or corporate workflows.
- Help participants identify their best-fit career path — whether in performance marketing, social media, analytics, or digital strategy.
- Position the program as a bridge between bootcamps and industry employment, combining the structure of education with the authenticity of employer-linked projects.
Performance Indicators
- Increased learner engagement, retention, and satisfaction (NPS) across cohorts.
- High portfolio and project completion rates with measurable campaign performance.
- Demonstrated job placement and interview success among graduates.
- Growth in employer partnerships and industry collaborations.
- Consistent improvement in learner technical competency, creative output, and campaign results
Cross-Functional Collaboration
The department collaborates closely with:
- Product & Curriculum Design Team (for course development and innovation).
- Marketing & Admissions (to align academic offerings with market needs).
- Student Success and Career Services (to connect learning outcomes with career pathways and future proof careers).
- Technology Team (to optimise the LMS and digital learning experience).
Qualifications
- Bachelor's Degree in Marketing, Digital Marketing, or a related field.
- Proven experience in digital marketing, including areas such as SEO, social media marketing, content marketing, email marketing, and online advertising.
- Effective communication skills and the ability to convey digital marketing concepts clearly.
- A passion for educating and inspiring young females to pursue careers in technology and digital marketing.
- Patience, adaptability, and the ability to connect with students from diverse backgrounds.
- Strong organisational skills and a creative approach to digital marketing education.
- Certifications in Digital Marketing is a plus
Method of Application
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