مدير منتجات الذكاء الاصطناعي
تفاصيل الوظيفة
About Us
Almadina Hearing is s a Saudi company established in 1992 and one of the companies under Almadina Holding Group. It is considered one of the leading local companies in the field of hearing healthcare services and products.
The company specializes in providing advanced and integrated hearing healthcare solutions through innovative technology products and distinguished services that meet the highest international standards.
Almadina Hearing strives to enhance people’s quality of life by offering the latest hearing technologies and solutions, while strengthening its position as a leading company in the local hearing healthcare sector and keeping pace with global. advancements in the industry.
About the role
We are looking for an AI Product Manager to join our team at a leading our company. You will lead the adoption of AI solutions across departments (medical, technical, administrative, operations, sales, and customer service), from opportunity discovery through implementation and impact measurement.
Key Responsibilities
- Analyze business needs by observing workflows across departments and identifying problems, waste, and repetitive tasks.
- Uncover AI opportunities by holding sessions with department heads and translate needs into clear product requirements (PRDs and user stories).
- Define the AI strategy and roadmap in line with company goals, prioritizing initiatives by impact and feasibility.
- Stay ahead of developments in AI generally, and medical AI in particular, and evaluate technology partnerships.
- Select suitable AI tools and run pilots before wider rollout.
- Integrate AI tools with company systems (CRM, Odoo, and others).
- Build automations and intelligent workflows and write ready-to-use prompts for each department.
- Lead AI solutions related to medical devices and technical and medical services (e.g., predictive maintenance, device data analysis, and service efficiency improvements).
- Coordinate between data, engineering, medical, technical, quality, and compliance teams.
- Extract recurring customer complaints, analyze sentiment, and identify reasons for customer churn.
- Monitor operations and build dashboards and KPIs, then escalate issues to stakeholders with proposed solutions.
- Support departments through pilot and scale-up phases.
- Establish AI usage policies (e.g., prohibiting confidential data from being entered into public tools).
- Ensure compliance with data privacy and local regulations (such as Saudi PDPL) and medical regulations.
- Assess risks of AI tools and vendors, including model accuracy, bias, and safety.
- Measure ROI based on time and cost savings and improved customer satisfaction, and provide regular reports to senior management.
Requirements
- Bachelor's degree in computer science, Information Systems, Business Administration, or equivalent.
- 3+years of experience in product management or business analysis, including 2 years in AI or automation projects.
- Experience in healthcare or medical devices is a plus.
- Excellent and fast at business analysis and identifying improvement opportunities.
- Strong communication skills, with patience and emotional intelligence.
- Ability to elicit both explicit and tacit knowledge from subject-matter experts through interviews and workshops.
- Systems-thinking mindset, able to see the big picture and understand how different parts of the system interact.
- Understanding of AI, machine learning fundamentals, and data quality.
- Experience with automation and integration tools (APIs, Zapier/Make, Odoo).
You’ll Thrive Here If You
- Feel motivated by improving workflows and eliminating inefficiencies, rather than simply introducing new tools.
- Enjoy tackling real operational challenges and turning them into practical, effective solutions.
- Take pride in delivering measurable results by saving time, reducing errors, and improving customer satisfaction.
- Are committed to data privacy and responsible AI practices, particularly in a healthcare environment.
- Thrive on engaging with subject matter experts, listening carefully, asking insightful questions, and uncovering underlying needs.
- Naturally think beyond individual departments and understand how changes in one area impact the wider organization.
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