Senior Architect, Data Solutions

Senior Architect, Data Solutions


The Senior Architect provides formal, industry best practices, and leadership of the Data Solutions initiatives at AAIS.  This includes formal subject matter expertise in data analytics including data warehouse architectures, business intelligence tools, “data science” processes, etc.  This is a hands-on leadership position with project and staff management responsibilities.



The Senior Architect provides the team and thought leadership for AAIS Data Solutions and the overall Data Resource Center.  This role is a “generalist” role that requires a broad knowledge of Data Engineering practices including Cloud architectures, Data Warehouse architectures, data integration approaches and technologies, and Business Intelligence tools, approaches, and products.

This role also requires strong project management skills and background, preferably following an Agile approach to architecture and software development.  Being able to organize projects, manage internal and external resources, track project status, manage risk, and communicate to upper management are critical skills.

Finally, this role requires hands-on and supervisory skills as the Data Solutions practice grows at AAIS. Think big, act Small!



  • Enable the architecture to support AAIS’s business strategy
  • Provide overall architecture and thought leadership for formal and informal teams around data solutions.
  • Provide leadership for the architectural practice within Data Solutions.
  • Define, organize, and manage projects under the direction of the VP of Data Solutions.
  • Design, develop and recommend scalable solutions, applying different architectural styles and patterns
  • Create and maintain architecture blueprints, roadmap and other assets
  • Present, review and approve patterns, decisions and solutions at the relevant Governance forum/committee
  • Collaborate with engineering, product and other stakeholders to translate business requirements into pragmatic, scalable solutions
  • Ability to explain complex abstract ideas to a variety of stakeholders in a simple, easy to understand story
  • Clearly communicate products and projects with simple language and innovative visualizations to management and executives.
  • Drive the innovation and advancement of big data practice at AAIS.
  • Acquire any specialized domain knowledge required to be more effective in all required activities.


Skills, Knowledge and Abilities:

  • Requires both broad and deep technology knowledge and the ability to architect solutions by mapping common customer business problems to end-to-end technology solutions
  • Demonstrated ability to engage in discussions with senior level decision makers related to agility, business value, and end to end information technology solutions
  • Be a key partner and enabler for other architects, engineers and analysts in our business
  • Proven track record of driving decisions collaboratively, resolving conflicts and ensuring follow through with exceptional verbal and written communication
  • An ability to articulate architectural differences between solution methods and the challenges and approaches to integrating solutions built on different platforms including a working knowledge of different architectural frameworks that may be used by our customers.
  • Extensive hands on experience working with large structured and unstructured data sets, including statistical analyses, data visualization, data mining, and data cleansing/transformation.
  • Experience prototyping and developing data warehouse solutions including defining data warehouse architectures, data integration solutions, and business intelligence tools.
  • Entrepreneurial inclination to discover novel opportunities for applying analytical techniques to business/ problems across the insurance industry.
  • Follows structured methodologies, modeling and governance principles
  • Strong collaboration and mentoring skills.
  • The ability to manage multiple project, teams, and priorities in parallel.  Deadline focused project manager, working with users, managers, external staff and team members to meet organizational goals, deadlines, and priorities.
  • Problem Solving/Critical Thinking skills: making the best decisions possible given the data quality and time available.



  • BS in Business, Math, Computer Science or other data analysis discipline with 8+ years of architectural experience, in a variety of disciplines.
  • Proven project management experience, delivering technology and business intelligence solutions following industry standard methodologies (Agile preferred, PMP optional)
  • Significant exposure to, ongoing education and training in, and hands-on experience with Data Science concepts and practice including analytic methods and tools.
  • Knowledge of BI best practices and a proven track record of delivering dynamic and powerful solutions.
  • Experience following structured software development methodologies – Agile approaches preferred.
  • Academic or industry experience with complex data solutions.
  • Software programming experience and training on one or more Data Integration tools/languages and various Business Intelligence/Data Mining/Presentation Layer tools (reports, statistical analysis, dashboards, etc.).
  • Systems engineering experience; specifically, Linux, networking, and big data technologies.


Resumes to: