Develop, implement, and maintain the project management plan, including the work plan and supporting documentation such as configuration plans, enforcement of baselines, risk management, change control, and status reporting procedures. Utilize data analytics tools, including AI and machine learning, to support smarter forecasting and risk assessment.
Initiate projects through the development of project charters and identification of stakeholders. Where appropriate, incorporate AI-generated insights to guide project direction and prioritization.
Plan projects by forming teams, collecting and analyzing requirements, defining scope and activities, estimating schedules and budgets, and engaging specialist support from the Digital Transformation team. Leverage data models and AI tools to enhance resource planning and predict project challenges.
Lead the development of product strategies and digital solutions that support the insurance telesales business, focusing on increasing conversion rates, improving lead targeting, and optimizing the end-to-end sales journey.
Collaborate closely with Data Science and Engineering teams to conceptualize and implement machine learning models, predictive analytics, and real-time data tools that enhance business performance and decision-making.
Translate business objectives into scalable digital products by aligning technical capabilities (AI/ML/data modeling) with sales goals and operational realities.
Monitor product performance post-launch, iterate based on data-driven insights, and drive continuous improvements that contribute to revenue growth and customer engagement.
Be accountable for all requirements and changes that occur within the project using a proper change management process
Execute projects, assuring project quality, managing a diverse project team, managing communications, conducting procurements, and managing stakeholders
Monitor and manage performance of the project to ensure that the project can be delivered according to timeline and to ensure that value is captured
IT project budgeting and cost tracking
Report projects performance and concern to management team
Provide necessary support and guidance to PMO and project team members
Qualifications
Bachelor s or Master s Degree in any fields
At least 7-10 years working experience in project management on data science, data management projects.
Experience on digital transformation, agile development, and digital tools is a big plus
Be able to use the data to predict pricing or do the production optimization.
Strong technical skills and problem-solving skills
Practices: agile development, SDLC
Passion with digital and technology topics, including agile process, or openness and willingness to continuously learn more on these topics
Strong risk management and analytical skills
Strong interpersonal skills including leadership, team building motivation, communication, influencing, decision-making, awareness, negotiation, trust building, and conflict management
