Process Optimization Senior Specialist

QNB Sigorta; Fatih; On-site; TRY 600,000 - 900,000; Full time

Job summary

QNB Sigorta is seeking a Process Optimization Senior Specialist to lead end-to-end process improvement, data-driven analysis, and technology-enabled solutions across multiple teams.

You will design TO-BE processes, track KPI performance, and drive automation initiatives using AI, LLMs, NLP and RPA to boost efficiency and customer experience.

Qualifications

• Bachelor’s degree in Industrial Engineering, Mathematical Engineering, MIS or related field from a reputable university.
• 5+ years of experience in process management, process improvement, program management or related areas.
• 2+ years of experience with AI, LLMs, NLP, RPA and workflow automation.

Responsibilities

• Conduct end-to-end analysis of operational processes (AS-IS) and design TO-BE processes.
• Prepare and maintain process documentation, flow diagrams and standards.
• Identify bottlenecks, inefficiencies, capacity constraints and opportunities.
• Develop and monitor process KPIs and analyze operational data.
• Translate analysis results into actionable insights, reports and presentations.
• Identify automation opportunities and recommend tech-driven solutions including AI/RPA.
• Coordinate and follow up process improvement initiatives end-to-end.
• Collaborate with business units, IT, Marketing and cross-functional teams.

Skills

Process management

Process improvement

Data analysis

Power BI

Excel

English fluency

Education

Bachelor's degree in Industrial Engineering, MIS or related field

Tools

Power BI

Microsoft Excel

PowerPoint

Job description

As a Process Optimization Senior Specialist, you will support the end-to-end management and improvement of business processes by identifying optimization opportunities, developing data-driven and technology-enabled solutions and coordinating initiatives across relevant teams. You will play an active role in transforming improvement ideas into actionable solutions and ensuring their successful follow-up through completion.

Responsibilities:

Process Management & Improvement

• Conduct end-to-end analysis of operational processes (AS-IS) and design target-state processes (TO-BE).


• Prepare and maintain process documentation, process flow diagrams and process standards.


• Identify bottlenecks, inefficiencies, capacity constraints and improvement opportunities.

Data Analysis & Performance

• Develop and monitor process KPIs and analyze operational data to identify improvement opportunities.


• Translate analysis results into actionable insights, reports and management presentations.

Strategy, Technology & Digitalization

• Identify automation opportunities and recommend technology-driven solutions, including AI, LLMs, NLP, RPA and workflow automation.


• Explore new approaches and technologies to improve operational efficiency, process quality and customer experience.

Stakeholder Collaboration & Execution

• Coordinate and follow up process improvement initiatives end-to-end, ensuring progress and completion.


• Collaborate closely with business units, IT, Marketing, Operations and other cross-functional teams.

Qualifications:

Education & Experience

• Bachelor’s degree in Industrial Engineering, Mathematical Engineering, Business Engineering, Management Information Systems (MIS) or a related field from a reputable university.


• 5+ years of experience in process management, process improvement, program management or related areas.


• 2+ years of experience in working with emerging technologies such as AI, LLMs, NLP, RPA and workflow automation.

Process & Data Skills

• Knowledge of process modeling, process intelligence, process mining and process performance metrics.


• Knowledge of reporting and visualization tools (e.g., Power BI), with the ability to interpret data and generate business insights


• Advanced proficiency in Microsoft Excel and PowerPoint.


• Awareness of AI, LLMs, NLP, RPA and other emerging technologies and their potential applications in business process optimization.


• Strong analytical thinking and problem-solving skills with a data-driven and continuous improvement mindset.


• Strong communication, stakeholder management and presentation skills, with the ability to work effectively in cross-functional teams.


• Fluent in English, both written and spoken.