Data Product Manager - Princeton
1 day ago
Job description
Munich Re America Services (MRAS) is a shared service organization that delivers services to all Munich Re US P&C Companies and other group entities.
This role supports Data and Analytics initiatives by contributing technical expertise and helping deliver data solutions from start to finish.
Working closely with business and technology teams, this role helps improve data quality, usability, and adoption to support positive business outcomes.
Major Accountabilities:
Align data initiatives with business goals and strategy
Collaborate with business to define the vision, roadmap, and success metrics for data products (e.g., datasets, data platforms etc.)
Gather, prioritize, and translate business requirements into data capabilities
Partner with preferred suppliers to bring fit for purpose resources onto the delivery teams
Manage projects leveraging an Agile delivery methodology
Work with the business product owners to prioritize the product backlog for data engineering and analytics teams
Write and refine user stories related to data ingestion, transformation, quality, governance, and access
Balance new features, technical debt, and regulatory/compliance needs
Partner with data engineers and data stewards to ensure accuracy, completeness, timeliness, and consistency
Direct data engineering team to analyze functional requirements and drive the build of data pipelines to support solution delivery
Own issue triage and prioritization for data defects
Work closely with data engineers, architects, BI developers, DevSecOps and other platform (Databricks, Azure etc.) teams
Deep understanding of data warehouses/data marts/ data lake / data API's in cloud-based environments
Work with and/or lead data architects to ensure critical data sources/elements have been identified
Work with management/architecture to align architecture solutions for the aggregation and provisioning of data globally
Partner with data solution architects to ensure appropriate data availability in support of advanced data analytical needs for the organization
Closely work with both logical/conceptual and physical data modelers to deliver optimized data models that support the required technical solution
Provide estimates and estimation models for resourcing as needed for technical project delivery
Provide status reporting and partner with the PMO where needed
Supports all required IT organizational controls and will help to enable anything required where gapped for data specifically
Capacity to lead transformational programs across multiple teams
Qualifications:
Basic Knowledge, Skills, And Experience:
8+ years of experience across data architecture, data engineering, data management, and data delivery in Financial Services and/or Insurance organizations
Experience in designing and building information assets leveraging modern technology platforms including cloud (Azure, AWS, Google, etc.)
Experience with cloud data pipelining technologies such as Informatica IICS and ADF
Experience with ETL/ELT pipelines using Databricks, Apache Distributed data processing frameworks (PySpark/Scala), and Delta Lake
Experience with data platforms such as Databricks, Snowflake, Oracle/SQL Server/DB2/Etc. and Informatica MDM/RDM tooling
Experience with Insurance platforms such as DuckCreek and/or Guidewire and their data components
Experience collaborating with key business partners and functional teams to ensure requirements are made available and understood by the technical delivery team
Experience working with global partners and leaders
B.S. and/or M.S. in Computer Science or equivalent
Previous experience helping to lead Data teams through organizational change to improve efficiency, reducing costs, and integrating business units and their capability requirements
Proven track record of delivering projects on time and within budget
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.
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