A consulting firm is looking for a mid-senior level professional with strong actuarial pricing knowledge and excellent communication skills for a contract role in Jersey City. The candidate should have over 9 years of experience, with 5 years in a leadership position. Responsibilities include managing key insurance functions and building strategic partnerships. Familiarity with data management tools and an advanced degree or certification is preferred.
Qualifications
9+ years of related work experience, with 5+ years in a manager role.
Domain knowledge of insurance and reinsurance.
Minimum 5 years in product ownership or data roles.
Responsibilities
Manage actuarial pricing and reserving functions.
Build business partnerships and mentor team members.
Resolve complex situations effectively.
Skills
Actuarial pricing knowledge
Strong analytical skills
Effective communication
Project management
Interpersonal skills
Education
Bachelor’s or advanced degree in related field
Tools
Informatica
AWS
Power BI
Job description
Overview
Location: Jersey City, NJ/ NYC, NY (hybrid) (Local Only)
Duration: 6+ Months Contract
Only USC and GC
Job Description
Responsibilities
Strong knowledge of core functions of an insurance company and applicable concepts, with a primary focus on actuarial pricing and/or reserving.
Ability to effectively communicate and influence using analyses at various levels, including senior leadership.
Experience building successful business partnerships.
Strong interpersonal skills and a passion for mentorship and developing team members\' skills.
Ability to effectively delegate and promote a successful working team environment.
Effective communicator and exceptional listener with experience persuading and negotiating trade-offs of scope and timelines.
Strong analytical, critical thinking, and problem-solving skills with the ability to effectively resolve complex situations and issues. Solid project management skills with the ability to manage multiple priorities effectively and lead teams. Proactively conducts user research, customer interviews, and lean experiments.
Ability to advise and manage expectations of stakeholders, earning trust and building durable relationships.
Demonstrates sound judgment in making critical business decisions within scope of authority.
Collaborates effectively with team members from different business units.
Skilled at managing through ambiguous and challenging problems creatively and effectively, and leads through change.
Education & Training
Typically, a minimum of 9 years of related work experience and at least 5 years in a manager or leadership role.
Domain knowledge of insurance and/or reinsurance is required, specifically in actuarial pricing and reserving practices.
Experience
Minimum of 5 years of relevant experience in product ownership, business analysis, or data-centric roles, preferably within the insurance industry.
Over 8 years of experience in master data management, data quality, data governance, and analytics, including at least 3 years in a leadership capacity.
Technical Skills
Proficient in master data management platforms such as Informatica, and familiar with data governance tools.
Experienced with data technologies including data warehouses, ETL/ELT processes, cloud-based analytics platforms (e.g., AWS, Databricks, Azure), and reporting tools like Power BI and Cognos.
Familiar with AI-powered analytics and automation solutions.
Business Acumen
Strong understanding of the insurance industry and business operations.
Proven ability to design and implement data strategies that support and align with organizational objectives.
Communication
Excellent communication and interpersonal skills, with the ability to engage both technical and non-technical stakeholders.
Skilled at translating complex data concepts into clear, actionable insights for decision-making.
Education & Certifications
Bachelor’s or advanced degree (or equivalent) in Management Information Systems (MIS), Computer Science, Data & Analytics, or a related field.
Agile Product Owner certification is highly preferred