Posted:
7/21/2025, 5:00:00 PM
Location(s):
Massachusetts, United States ⋅ Quincy, Massachusetts, United States
Experience Level(s):
Mid Level ⋅ Senior
Field(s):
Data & Analytics
Key Responsibilities:
Build and maintain robust data architecture and data models that are scalable, reliable, high quality, and resilient, encompassing effective data integration, warehousing, migration and access strategies.
Design and optimize efficient data pipelines that meet data quality standards, ensuing accuracy, consistency, and reliability through the data lifecycle.
Identify and align goals and objectives to support the company’s business plan and implement the department’s vision to streamline data movement and modernize data platforms.
Provide thought leadership in defining data strategy and driving the execution of our initiatives, partnering with stakeholders in data operations, data governance, data science, analytics, IT infrastructure, security and AppDev. This includes defining roadmaps, developing business cases, project plans and resources allocation/alignment.
Plan, design, build and implement scalable data solutions, ensuring environments remail agile and accommodating.
Collaborate with data science and analytics teams to drive valuable insights by empowering the business through increased adoption of new technologies and platforms to meet business needs.
Partner with data governance, corporate compliance and IT security to ensure that data assets are safeguarded and support organizational initiatives in the areas of data retention, governance and security.
Continually learn and implement new technologies and methodologies into the data ecosystem to meet business needs and strategies.
Manage the operationalizing and automating of capabilities to ensure secure, supported and scalable solutions.
Represents Actuarial, Data & Analytics department on select projects and teams to ensure data needs are identified and considered. Collaborate with enterprise architecture, IT security and infrastructure to improve performance and scalability.
Directly manages employees, including interviewing and selection, performance management, coaching, evaluating performance, development, assigning tasks and setting individual expectations and objectives.
Key Requirements:
Bachelor's degree in Computer Science, Information Technology or related field, advanced degree preferred
10+ years of experience in Data Analytics, IT or related area
3+ years management experience preferred
Insurance/Financial Services experience preferred
Experience in some of the following tools, platforms & concepts: Informatica, Oracle, SQL Server, Business Objects, PowerBI, API, SAS, Python/Pyspark, data warehousing, data modeling, data integration concepts/technologies, data lake infrastructure and operations, RPA, data analytics tools, infrastructure and containerized services, version control systems (Github), JavaScript, Data Masking, Encryption/Decryption, setting ETL best practices, familiarity with data lakes DevOps, DataOps, Agile, Performance Optimization, Real-time and batch processing, MDM practices, Metadata Management, Azure, AWS, Cloud data warehouses and pipelines, data ingestion from XML, JSON, Parquet formats, Data Cataloguing tools, data governance frameworks, data quality methodologies
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Website: https://arbella.com/
Headquarter Location: Quincy, Massachusetts, United States
Employee Count: 501-1000
Year Founded: 1988
IPO Status: Private
Last Funding Type: Venture - Series Unknown
Industries: Finance ⋅ Insurance