- Project Planning: Develop comprehensive project plans, including scope, deliverables, timelines, and resource allocation, ensuring alignment with business goals and stakeholder expectations.
- Project Execution: Lead cross-functional teams to execute projects, ensuring adherence to project plans, monitoring progress, and proactively addressing any issues or risks that may arise.
- Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and insights that can inform strategic decision-making and improve business processes within the P&C insurance domain.
- Stakeholder Management: Collaborate with key stakeholders, including business leaders, data engineers, IT teams, and external vendors, to gather requirements, manage expectations, and ensure successful project outcomes.
- Risk Management: Identify and assess potential risks and develop mitigation strategies to minimize project disruptions and ensure the successful delivery of data projects.
- Quality Assurance: Implement robust quality assurance processes to ensure data accuracy, integrity, and compliance with industry regulations and best practices.
- Reporting and Documentation: Prepare regular project status reports, documentation, and presentations for various stakeholders, providing clear and concise updates on project progress, milestones, and outcomes.
- Continuous Improvement: Drive continuous improvement initiatives by evaluating project results, identifying areas for optimization, and implementing best practices to enhance project delivery and data management processes.
- Bachelor's degree in a relevant field (e.g., Computer Science, Business Administration, Data Science) or equivalent work experience.
- Proven experience as a Project Manager, preferably within the P&C insurance industry, overseeing data-driven projects.
- Strong understanding of P&C insurance concepts, processes, and industry-specific data requirements.
- Excellent project management skills, including the ability to develop and manage project plans, allocate resources, and track project progress.
- Background and understanding in data analysis tools and techniques, with the ability to derive meaningful insights from complex datasets.
- Solid knowledge of project management methodologies (e.g., Agile, Waterfall) and tools (e.g., JIRA, Microsoft Project).
- Understanding of Cloud (AWS) Data technologies a big plus.
- Exceptional communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders at all levels.
- Strong problem-solving and critical-thinking abilities, with a focus on delivering practical and innovative solutions.
- Detail-oriented mindset with a commitment to delivering high-quality results within established timelines.
- Project Management Professional (PMP) certification or equivalent is a plus.
Data PM - San Antonio, United States - Ciber
Description
HTC Global Services wants you. Come build new things with us and advance your career. At HTC Global you'll collaborate with experts.You'll join successful teams contributing to our clients' success.You'll work side by side with our clients and have long-term opportunities to advance your career with the latest emerging technologies.
At HTC Global Services our consultants have access to a comprehensive benefits package. Benefits can include Paid-Time-Off, Paid Holidays, 401K matching, Life and Accidental Death Insurance, Short & Long Term Disability Insurance, and a variety of other perks.
Job Title: Project Manager for Data Projects
Job Summary:
We are seeking a highly skilled and experienced Project Manager to oversee data projects for an underwriter of specialty insurance products in the Property and Casualty (P&C) Insurance industry. The Project Manager will be responsible for planning, executing, and delivering data-driven initiatives that align with business objectives and drive operational efficiency. The ideal candidate will possess a strong background in insurance, preferably P&C insurance, along with exceptional project management and data analysis skills.
Responsibilities: