Product Manager - Kent
An accomplished Product Manager with a strong background in artificial intelligence and software engineering, specialising in AI-driven solutions within telecommunications. Expertise spans the entire product lifecycle, from strategy and market research to deployment, with a focus on operational efficiency, customer satisfaction, and cost optimisation. Known for a proactive approach in implementing innovative solutions, consistently driving projects that integrate stakeholder insights and emerging technologies to deliver measurable impact.
In the current role, this Product Manager leads an AI solutions portfolio in the telecommunications sector, focusing on Cloud and Infrastructure projects to streamline operations and enhance service offerings. Efforts in defining product taxonomies and refining marketing practices have proven pivotal for aligning AI initiatives with strategic goals. Additionally, a solid technical foundation from prior work as a Software Engineer optimises system monitoring and contributes to significant product launches using DevOps practices.
With advanced programming knowledge in Java, Python, and JavaScript, and expertise in Agile methodologies, this Product Manager combines technical and management acumen to foster innovation and customer-centric solutions. An academic foundation in Computer Science complements hands-on experience, providing a holistic understanding of both the technical and business facets of product management.
Career Highlights
AI Portfolio Leadership: Spearheaded AI solutions for Cloud and Infrastructure, optimising product lifecycle management and marketing strategies.
Product Optimisation: Enhanced customer satisfaction and operational efficiency by implementing competitive analysis, defining product taxonomies, and establishing KPIs.
Technical Innovation: Developed over 50 dashboards for system monitoring and diagnostics, reducing issue diagnosis times by 20% through improved JSON formatting.
Project Leadership: Designed a convolutional neural network achieving 98% accuracy in hand sign translation, demonstrating expertise in machine learning and model development.
Stakeholder Engagement: Successfully presented projects, including a budget management app built in Microsoft Power Apps, to senior leadership, facilitating production consideration.
Core Competencies
Technical Skills: Proficient in Java, Python, JavaScript, Kubernetes, GitLab CI/CD, Agile methodologies (Scrum, Kanban), and data analysis tools.
Soft Skills: Skilled in problem-solving, data-driven decision-making, leadership, and effective stakeholder communication.
Product Management Tools: Experienced in A/B testing, product roadmapping, automation, and customer satisfaction surveys (CSAT, NPS).