Raylin Sami
Head Of Data Intelligence
Sandton
Professional Experience
Experienced Data Intelligence Leader with over 22 years in the health insurance sector, currently leading the data Intelligence department of a top-tier company. Expertise spans managing six teams across diverse analytics domains, including health professionals, collections, clinical, operational, CRES, and commissions analytics. Skilled in driving operational excellence and strategic decision-making through data-driven insights. Seeking to apply proven leadership and analytical skills to drive innovation in a top health insurance company's data intelligence team.
Key Highlights:
- Data Leadership Pinnacle: My leadership journey is characterized by a relentless commitment to excellence, orchestrating teams to harness the power of data for transformative outcomes in the health insurance arena.
- Innovative Visionary: I thrive on innovation, consistently pushing boundaries to conceive and implement groundbreaking analytics solutions that revolutionize operational efficiency and drive business success.
- Strategic Navigator: Armed with a keen strategic acumen, I navigate the complexities of data landscapes with precision, steering organizational direction towards data-driven decision-making and sustainable growth.
- Dynamic Collaboration Maestro: I orchestrate harmonious collaborations across diverse teams and departments, orchestrating a symphony of cross-functional insights that amplify the impact of data intelligence initiatives.
- Continuous Learning Odyssey: My journey is an odyssey of unceasing growth, fueled by an insatiable thirst for knowledge and a relentless pursuit of mastery in the dynamic realm of health insurance analytics.
- Empowerment Advocate: I champion a culture of empowerment, fostering an environment where individuals are inspired to unleash their full potential, driving innovation and excellence at every turn.
Objective:
Aiming to leverage my extensive experience and expertise in data intelligence and operational analytics to drive innovation and excellence in a leadership role within the data intelligence team of a top-tier health insurance company. Dedicated to utilizing data-driven strategies to optimize performance, improve operational efficiency, and enhance customer experience, thereby contributing to the company's growth and success in the highly competitive health insurance industry.
Overview
22
22
years of professional experience
Skills
Data Analysis & Interpretation
Work History
Head of Data Intelligence
Discovery Holding
1 2017 - Current
- Managing six teams consisting of seven managers and 30 staff members. Oversee a wide range of analytics functions and operational KPIs across various departments:
- Health Professionals Analytics: Manage KPIs related to health professionals, from their digital presence to interactions with Discovery. Analyze utilization of digital platforms and manage incentives for providers and staff.
- Collections Analytics: I oversee the design and implementation of strategic KPIs and incentive models to align departmental goals with performance metrics. This motivates the teams to achieve outstanding results in collections and administration . Analyze payment behavior, identify trends, and minimize financial risks by turning data into actionable insights. This enables Executives to make informed decisions on efficient payment collection, ensuring the financial stability and growth of the company.
- Clinical Analytics: Conduct analyses for departments like Chronic, Oncology, and HIV, focusing on SLA management, effectiveness, efficiency, and incentive models. Ensure digital platforms impact cost and efficiency positively.
- Operational Analytics: Provide key performance indicators (KPIs) and performance analysis for call centers and back-office operations. Monitor and manage average monthly volumes of 800,000 calls and 400,000 emails, evaluating staff efficiency and customer perceptions. Oversee digital platforms including IVR, chatbots, virtual agents, web, WhatsApp chats, and apps. Develop and implement incentive models, and analyze email traffic to identify and propose data-driven solutions for reducing unnecessary emails. Compare non-digital and digital interactions to demonstrate the progression towards digital engagement.
- CRES Analytics: Develop KPIs and intuitive dashboards for 8 building , aiding in actionable decision-making related to funds spent, resource utilization (electricity, diesel, water), and space occupancy.
- Commissions Analytics: Provide comprehensive KPI reporting and analysis on commission payments. This includes tracking maintenance work, delivering insights to support the broker community's perception and administration, and creating KPIs to enhance business-broker relationships. I also monitor broker payment trends and the commissions generated to ensure accurate and protocol-compliant commission calculations. These efforts help maintain transparency, trust, and efficiency in our broker relationships.
Head of Incentive and Operational Analytics
Discovery Holding
01.2009 - 01.2017
- Managed five key Team: Remuneration, Credit Control Analytics, New Business Analytics, Sentimental Analytics, and People Analytics.
- Remuneration Department: Crafted dynamic incentive models tailored to boost performance across operational teams, executive tiers, and company-wide ventures. Pioneered salary benchmarking strategies to guarantee competitive compensation structures that attract and retain top talent.
- Credit Control Analytics: Spearheaded transformative initiatives tailored to streamline debt collection processes for major employer groups. Innovated tools were instrumental in slashing arrears and ensuring outstanding debts consistently remained below the 5% threshold."
- New Business Analytics: As analysts leading application processing, we leverage advanced SQL code to measure each step of the process, monitoring its duration and identifying bottlenecks to expedite adherence to the SLAs promised to our clients. By meticulously tracking the journey from initiation to activation. When absorbing medical schemes through take-on processes, We utilize coding techniques to seamlessly integrate third-party data while upholding stringent rules and protocols. Additionally, We report on digital uptake initiatives showcasing the shift to digital platforms .
- Sentimental Analytics: Analyzed member perception data to identify service improvement opportunities, enhancing customer experience across all interaction platforms.
- People Analytics: Leveraged data to provide insights into employee performance, engagement, and retention, driving people strategies and talent management initiatives.
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