Job Description
We are adding to our diverse team of experts and are looking to hire those who are committed to building a culture that enables the creation of innovative solutions for our business units and clients. The Company Welcome to Munich Re Specialty - North America, a leading specialty insurance provider dedicated to delivering exceptional underwriting, claims, and risk management expertise to our partners and customers. As a trusted industry expert, we offer a broad range of comprehensive and customized solutions, including casualty, professional lines, property, surety, and public entity coverages. With the financial strength and global resources of our A+ Superior (A.M. Best) rated organization, we provide unmatched stability and reliability. Our team is committed to superior service levels, a distinctive approach to specialty solutions, and a deep understanding of the complex risks our clients face. Join our team and be part of a dynamic and experienced organization that is shaping the future of specialty insurance in North America. The Opportunity Future focused and always one step ahead! As the Manager of the Data Product Domain Teams, you will lead a team responsible for the development, maintenance, and enhancement of data products within our organization’s Data Marketplace. You will oversee a group of Data Product Owners and Data Analysts, and work closely with data engineers, data scientists, IT and other partners, ensuring the successful delivery of high-quality data products that align with business objectives for each of the Data Domains. Your role will involve strategic planning, project management, team leadership, and collaboration with senior stakeholders across Business and Functional areas to drive innovation and maximize the value of data products. This is a key role within the MRS-NA Data team expected to build and foster a collaborative, informative, client and results focused culture with a diverse and energized team. Key Responsibilities Lead and direct the work of the domain specific data product teams through the full end-to-end development lifecycle of data products, from ideation to deployment and maintenance in the Data Marketplace. Collaborate with senior management to define the strategic direction for data products and solutions, aligning with business goals and objectives. Collaborate with stakeholders across different departments, including business units, IT, and analytics teams, to understand requirements and prioritize initiatives. Work closely with the Data Product Owners, data engineers, and others to ensure the proper prioritization of features, define requirements, and ensure timely delivery of high-quality solutions. Direct the implementation of best practices for agile development, continuous integration, and delivery processes. Stay current with emerging trends, technologies, and innovations in the data and analytics landscape, including artificial intelligence, machine learning, and other advanced analytics capabilities, to identify opportunities for strategic adoption and integration within the company. Implement and enforce data quality standards, governance policies, and best practices to maintain the integrity, consistency, and reliability of all data products. Operate as Subject Matter Expert for the Data Marketplace, and drive innovation and continuous improvement within the Data Product Domain Teams, leveraging emerging technologies, tools, and methodologies. As a business leader you will have full accountability of outputs for deliverables including but not limited to documentation, potential improvements, and benefits, and for reporting out on business cases and ROI attainment as required. Resolve issues throughout the product development process to ensure the domain teams continue to move forward. Provide leadership, guidance, and mentorship to team members, and be an advocate for Data Culture and change management throughout the organization. Foster a collaborative and inclusive team culture, encouraging knowledge sharing, skill development, and professional growth. Set clear goals and expectations for team members, and regularly assess performance against objectives. Qualifications Successful candidates will possess the following experience/skills/qualifications: Bachelor's or Master’s degree in computer science, Statistics, Data Science, Engineering, or related field. In-depth knowledge and understanding of insurance processes, terminology, and concepts as well as Proven experience (10 years) with continually increasing responsibilities in P&C Insurance (underwriting, actuarial, operations, claims, finance, or other data intensive functions), of which 5 years in a data related