Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Data driven decision making and value generation through AI are key priorities for Global Specialty Insurance. To speed-up execution we are hiring resources dedicated for Data Products and GenAI use cases at the GSI-level. The resources will be integrated in the Data Assets US team, but will be fully dedicated to Global Specialty Insurance. The Data Assets Team is based out of Munich and the US and works with internal and external partners across the globe. The team closely liaises and jointly drives projects with all business units and central units like Corporate Underwriting and Corporate Claims. In order to grow the team, we are looking for someone with an entrepreneurial mindset to propel Munich Re's GenAI and data strategy forward.

Responsibilities

Support GSI’s GenAI and data strategy by identifying and scoping promising data-driven use cases, and contributing to implementation roadmaps.
Contribute to the delivery of GSI-level data products and GenAI use cases, with accountability for specific deliverables supporting Underwriting and Claims excellence.
Lead day-to-day activities for data products, including managing the backlog, supporting sprint planning, customer review meetings, and aligning with IT and data engineering teams.
Support synergies and cost-sharing opportunities between business units by connecting similar GenAI use cases, leveraging shared learnings and accelerating innovation.
Actively promote and expand the adoption of existing GenAI capabilities, data products and data platforms among relevant stakeholders, ensuring their value is widely recognized and utilized.

Requirements

Proven project or product management capabilities in an agile setup for 3+ years.
Strong proficiency in technical data handling, e.g. writing SQL or Python scripts to manipulate data.
Sufficient understanding of the US reinsurance or Specialty Insurance market with relevant experience for 3+ years.
Good data management skills, including SQL, Power BI, Python, dashboards and API usage.
Entrepreneurial and customer-centric mindset and ability to translate requirements into practical solutions.
Integrative personality, strong in building and maintaining relationships (internally and externally)
Drive and dedication, as well as creativity and hands-on attitude to initiate and execute use cases (“getting things done”)
Ability to communicate to both technical and non-technical communities to ensure data uses and limitations are well understood and will provide substantive business value.

Skills

SQL
Python
Power BI
dashboards
API usage

Location

Princeton
New York City
Remote

Work Type

Remote

Experience Level

3+ years

Salary/Compensations

$88,4000 - $127,000

Benefits

Company bonus based upon a percentage of eligible pay
Health insurance coverage
Employee wellness program
Life and disability insurance
401k match
Retirement savings plan
Paid holidays
Paid time off (PTO)
Two options for your health insurance plan (PPO or High Deductible)
Prescription drug coverage
Vision and dental insurance plans
Basic life insurance equal to 1x annual salary
AD&D coverage that is equal to 1x annual salary
Short and Long Term Disability coverage
Supplemental Life and AD&D plans
Voluntary Benefit plans (Accident, Critical Illness and Hospital Indemnity)
Up to a 5% employer match for 401k
Retirement savings plan that is 100% company funded
Paid time off that begins with 24 days each year
Eligibility to receive a yearly bonus
Variety of health and wellness programs provided at no cost
Paid time off for eligible family care needs
Tuition assistance and educational achievement bonuses
Corporate matching gifts program
Paid time off to volunteer in your community

About the Company

Munich Re sees Diversity, Equity and Inclusion as a solution to the challenges and opportunities all around us.
Our goal is to foster an inclusive culture and build a workforce that reflects the customers we"re serving and the communities in which we live and work.
We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day.
We recruit and develop talent with a focus on providing our customers the most innovative products and services.

Equal Opportunity

We are an equal opportunity employer.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.