Susan Njenga

About

Product leader at Nexleaf Analytics who drove a major platform evolution from a vaccine refrigerator temperature-monitoring product into a broader health equipment management system used for cold chain, solar, oxygen, and other assets. Brings a rare mix of digital health, public-sector stakeholder management, UX transformation, and practical AI product experience, including a RAG-based support chatbot designed for technicians and healthcare workers in remote settings.

Key Strengths

• Led end-to-end transformation of ColdTrace from temperature monitoring tool to multi-module health equipment management platform
• Strong platform strategy and roadmap sequencing across asset management, maintenance, training, performance, and support workflows
• Deep digital health and public-sector product experience with Ministries of Health and implementing partners
• Skilled at aligning diverse stakeholders around shared product vision instead of fragmented feature requests
• Strong UX judgment, shifting product from data-centric dashboards to workflow-centric experiences
• Hands-on AI product leadership with RAG chatbot integrated into web and mobile workflows
• Thoughtful human-centered AI approach emphasizing validated sources, accuracy, and human decision ownership
• Iterative product development driven by pilots, user interviews, ratings, and conversation log review
• Cross-functional leadership across product, design, engineering, and data science teams
• Team development through coaching, clearer role expectations, and earlier cross-functional involvement

Reference Highlights

• strategic product leader
• strong AI vision
• identifies market needs effectively
• user-centered mindset
• strong user empathy
• good UX and design judgment
• simplifies complex technical information
• builds accessible products for frontline users
• hands-on with AI product development
• defines meaningful product metrics
• focus on accuracy and reducing hallucinations
• drives continuous feedback loops
• strong cross-functional leadership
• guides prioritization well
• delivers with quick turnarounds
• executes without delays
• successful product launches
• high product adoption
• created new funding stream
• expanded product portfolio
• opened new strategic direction in workforce development
• strong stakeholder engagement
• ethical and privacy-conscious
• thoughtful about when AI should be used
• uses technology to support rather than replace people
• empowering manager
• empathetic leader
• holds team accountable
• strong mentor
• develops team members' careers
• promotes agility across teams
• clear and structured leader
• supportive manager
• approachable mentor
• hands-on with AI and machine learning
• able to have technical conversations with engineering
• strong cross-functional alignment
• user-centered decision making
• focus on workflow simplicity
• practical feedback and guidance
• keeps teams focused on outcomes
• balances user needs, business priorities, and technical constraints
• positions AI as augmenting rather than replacing people
• expanded solutions beyond existing product portfolio
• significantly increased customer base
• introduced product packaging for diverse customer segments
• scaled offerings
• launched first learning platform
• introduced AI-enabled solutions
• successfully launched AI-powered chatbot
• generated strong client interest
• strengthened innovation portfolio
• prioritized usability, accessibility, and practical value
• rare strategic clarity
• asks hard strategic questions
• handles complex competing priorities well
• clarifies trade-offs without oversimplifying
• aligns leadership, engineering, and field teams
• challenges entrenched assumptions without defensiveness
• creates unified product direction
• strong end-to-end execution
• led ground-up platform overhaul
• transformed ColdTrace into a comprehensive lifecycle management system
• deep user and stakeholder empathy
• balances scalability and usability
• excellent UX judgment
• turns complex data into intuitive experiences
• focuses on actionable insights over raw data
• deeply hands-on with AI scoping and guardrails
• prioritizes accuracy and safety in AI features
• successfully shipped a high-adoption AI support assistant
• reduced troubleshooting time for frontline workers
• builds psychological safety with high standards
• protects engineers from reactive distractions
• grounds design in real-world constraints
• uses trade-offs as teaching tools
• empowers team ownership
• fosters constructive debate
• elevates team operational maturity
• mission-driven leadership
• technology amplifies human capacity
• balances organizational goals with frontline user outcomes
• significant product leadership scope
• strong strategic thinking
• clarity in chaos
• turns messy feedback into product decisions
• introduced AI direction successfully
• builds trust across diverse stakeholders
• connects customer realities to product strategy
• practical and impactful product vision
• focuses on real operational needs
• translates vision into usable roadmap
• keeps products simple and useful
• hands-on leadership
• drives stakeholder buy-in
• focus on adoption and measurable value
• strong product design and UX judgment
• simplifies complex products for end users
• advocates for customer needs with engineering
• improves product adoption
• reduces training burden for customer teams
• asks the right questions
• challenges assumptions
• keeps teams focused on impact
• supports teams through change
• balances mission, user experience, and operational needs
• effective in culturally nuanced environments

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