Skip to main content
Erhalten Sie Job-Benachrichtigungen Gespeicherte Jobs Zu allen Jobs

Data Product Manager

Standort New York City, USA Art der Arbeit Vollzeit Arbeitsform Hybrid Job level Berufserfahrene Job ID 13021 Unternehmen Munich Re Specialty - North America Anstellungsart Unbefristet Fachbereich Daten, BI und Analytik
Jetzt bewerben
All locations New York City, USA; Princeton, USA;

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 role (e.g. data engineering, data product ownership, data management, data analytics).
  • Strong understanding of data management principles, including data modeling, ETL processes, data warehousing, and data governance.
  • Experience with visualization tools such as Power BI and programming languages (SQL/R/Python).
  • Familiarity with Data Bricks and experience working with cloud platforms (e.g., AWS, Azure, GCP) and related services for data storage, processing, and analytics.
  • Excellent communication skills, with the ability to effectively collaborate with cross-functional teams and present technical concepts to non-technical stakeholders.
  • Strong analytical and problem-solving skills, with a focus on delivering innovative and scalable solutions.
  • Leadership qualities such as integrity, accountability, resilience, and a passion for developing high-performing teams.
  • Proven ability to work in an ambiguous environment and collaborate across multiple areas and multiple organizational levels.
  • Experience working in an Agile/Scrum environment.

The Company is open to considering candidates in numerous locations, including New York (NY) and Princeton (NJ) The salary range posted below reflects market variations across various locations. The offer will be adjusted per geography.

The base salary range anticipated for this position is $185,800 - $296,100, plus opportunity for company bonus based upon a percentage of eligible pay. In addition, the company makes available a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO). 

The salary estimate is adjusted to reflect the varying market conditions across different locations, with the higher end being more aligned with the New York job market. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to other employees already in this role. Most candidates will start in the bottom half of the range.

We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance benefits:

  • Two options for your health insurance plan (PPO or High Deductible).
  • Prescription drug coverage (included in your health insurance plan).
  • Vision and dental insurance plans.
  • Additional insurance coverages provided at no cost to you, such as basic life insurance equal to 1x annual salary and AD&D coverage that is equal to 1x annual salary.
  • Short and Long Term Disability coverage.
  • Supplemental Life and AD&D plans that you can purchase for yourself and dependents (includes Spouse/domestic partner and children).
  • Voluntary Benefit plans that supplement your health and life insurance plans (Accident, Critical Illness and Hospital Indemnity).

In addition to the above insurance offerings, our employees also enjoy:

  • A robust 401k plan with up to a 5% employer match
  • A retirement savings plan that is 100% company funded.
  • Paid time off that begins with 24 days each year, with more days added when you celebrate milestone service anniversaries.
  • Eligibility to receive a yearly bonus as a Munich Re employee.
  • A variety of health and wellness programs provided at no cost.
  • Paid time off for eligible family care needs.
  • Tuition assistance and educational achievement bonuses.
  • A corporate matching gifts program that further enhances your charitable donation.
  • Paid time off to volunteer in your community.

At Munich Re, we see 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 serve 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.   

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

#LI-MB1

Jetzt bewerben

Ihre Benefits

Bei uns gibt es mehr als nur einen spannenden Job. Profitieren Sie von Benefits, die Ihr Wohlbefinden und Ihre Entwicklung fördern.Bitte beachten Sie, dass regionale Unterschiede auftreten können.

Wettbewerbsgerechtes Gehalt

Wir bieten Ihnen eine faire und wettbewerbsgerechte Vergütung, die Ihre Leistung und Ihmur Engagement widerspiegelt.

Betriebliche Sonderzahlungen

Unsere variable Vergütung ermöglicht es Ihnen, am Erfolg von Munich Re teilzuhaben.

Sonderleistungen

Wir honorieren herausragende individuelle Leistungen mit gezielten Sonderleistungen.

Altersvorsorge & finanzielle Sicherheit

Wir unterstützen Ihr langfristiges finanzielles Wohlergehen durch eine betriebliche Altersvorsorge oder andere lokal relevante Altersvorsorgelösungen.

Verantwortungsbewusster Arbeitgeber

Wir fördern ein respektvolles, verantwortungsvolles und inklusives Arbeitsumfeld.

Learning & Development

Wir bieten maßgeschneiderte Weiterbildungsmöglichkeiten mit Fokus auf Kernkompetenzen und geschäftsrelevantem Wissen.

Unterstützung für Familien & Work-Life-Blance

Wir fördern die Vereinbarkeit von Familie, Freizeit und Beruf.

Health & Wellbeing

Wir fördern Ihre physische und psychische Gesundheit weit über gesetzliche Vorgaben hinaus.

Sehen Sie sich Ihren zukünftigen Arbeitsort an

Erhalten Sie einen Eindruck von der Umgebung des Arbeitsplatzes.

Das könnte Sie interessieren

Ausgewählte Jobs

  • Research Scientist Hartford, USA, New York City, USA, San Francisco, USA Daten, BI und Analytik Berufserfahrene
  • Data Modeler Amelia, USA, Hartford, USA, Princeton, USA Daten, BI und Analytik Berufserfahrene

Keine kürzlich angesehenen Jobs.

Noch keine gespeicherten Jobs vorhanden.

Job-Benachrichtigung einrichten

Auf der Suche nach der idealen beruflichen Herausforderung? Mit der Job-Benachrichtigung der Munich Re Group bestens informiert bleiben: Munich Re, ERGO Group und MEAG bieten vielfältige Perspektiven. Nach der einfachen Einrichtung erfolgen automatische E-Mail-Updates zu neuen Stellenangeboten, abgestimmt auf die gewählten Suchkriterien.

InteressensschwerpunkteErfassen Sie die ersten Buchstaben einer Kategorie, und treffen Sie dann eine Auswahl aus den Vorschlägen. Erfassen Sie die ersten Buchstaben eines Ortes, und treffen Sie dann eine Auswahl aus den Vorschlägen. Klicken Sie danach auf „Hinzufügen“, um Ihre Benachrichtigung zu erstellen.

Mit meiner Anmeldung bestätige ich, dass ich die Datenschutzerklärung gelesen habe und E-Mail-Mitteilungen erhalten möchte. Um den Job Alert einzurichten, werden Ihre E-Mail-Adresse und die von Ihnen ausgewählten Filterkriterien verarbeitet. Die Verarbeitung der Daten erfolgt ausschließlich zum Zweck der Versendung der Job Alerts per E-Mail. Wenn Sie den Job Alert löschen, werden auch Ihre Daten gelöscht. Weitere Informationen finden Sie in unserem Impressum unter: Datenschutzrichtlinie.

Placeholder alt text