Great American Insurance Group - Cincinnati, OH

posted 5 months ago

Part-time - Senior
Cincinnati, OH
Insurance Carriers and Related Activities

About the position

Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a 'small company' culture where your ideas will be heard with 'big company' expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow. At Great American, we value diversity and recognize the benefits gained when people from different cultures, backgrounds, and experiences work collaboratively to achieve business results. We are intentionally focused on fostering an inclusive culture and know valuing diversity is an essential leadership quality. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best. The Senior Data Architect is a key role within the Data Strategy & Enterprise Architecture organization that partners to define and operationalize the data domain strategy, roadmap, and best practices in alignment with Reference Architecture and the business strategy, objectives, and EA standards with a focus on business value creation. The Senior Data Architect partners with Data and IT functional leaders, SMEs, and other Architect roles, and is accountable for the construction and management of data operating models, including data capabilities, functions, processes, and roles to support data business initiatives. The Senior Data Architect is responsible for representing the interests of the data organization to peers in Enterprise Architecture in accordance with industry and internal best practices and methods. The Senior Data Architect is responsible for following emerging trends in data and recommending their implementation to solve complex business problems resulting in the delivery of insights at an accelerated pace.

Responsibilities

  • Provide partnership, domain expertise, direction, and accountability for strategic architecture plans, system design, and implementation standards for the data domain.
  • Lead efforts to ensure data capabilities are operating efficiently, accurately, and with high quality.
  • Collaborate with programs and projects to understand data dependencies, anticipate risks, and identify opportunities.
  • Guide data project decisions based on the direction of the data domain roadmap.
  • Contribute data domain expertise to feasibility and complexity assessments of potential future initiatives including data domain analysis.
  • Develop an integrated view of data capabilities and processes, using a repeatable approach, cohesive framework, and available industry best practices and techniques.
  • Provide consulting and make recommendations to tackle data transformation initiatives, help mature existing data capabilities, or enable new data capabilities.
  • Facilitate the process of defining and publishing data standards, best practices, data capabilities, and data roadmap, synchronized with the overall enterprise future state architecture.
  • Collaborate in the creation of conceptual and logical architecture and models following the enterprise guidance to describe a particular domain of data and use these models to inform the physical design of data-related projects.
  • Co-develop data life cycle governance framework including standards, patterns, and controls.

Requirements

  • Minimum eight years of relevant experience as a data architect or data engineer building large-scale data solutions.
  • Bachelor's degree in Engineering, Information Technology, Computer Science, or a related field.
  • Experience in architecting and large data modernization, data migration, data warehousing experience with cloud-based data platforms (like Snowflake).
  • Experience with defining and operationalizing data strategy, data governance, data lineage, and quality standards.
  • Extensive knowledge of data engineering, data integration, and data management concepts (i.e. APIs, ETL, MDM, CRUD, Pub/Sub, etc.).
  • Experience with data modeling.
  • Experience with structured and hierarchical datasets (i.e. JSON, XML, etc.).
  • Engineering experience with large scale system integration and analytics projects.
  • P&C domain experience a plus.

Benefits

  • Competitive healthcare benefits
  • Retirement benefits
  • Paid time off benefits for full-time and part-time benefit eligible employees
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