Munich Re America Services (MRAS) is seeking a technical leader to provide end-to-end accountability for data delivery, ensuring data products deliver measurable business value, are reliable, and meet stakeholder expectations. The role aims to drive data quality, usability, adoption, and overall business impact by operating at the intersection of business, data, and technology.
Requirements
- Deep understanding of data warehouses/data marts/ data lake / data API’s in cloud-based environments
- 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 Spark (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.
- Leads efforts to tune systems for both performance and FinOps needs.
Responsibilities
- 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.
- 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.
- Direct data engineering team to analyze functional requirements and drive the build of data pipelines to support solution delivery.
Other
- 15+ years of experience across data architecture, data engineering, data management, and data delivery in Financial Services and/or Insurance organizations.
- 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.
- 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.
