• Information Technology
  • Anywhere
  • Salary: $150,000+
  • Education: Bachelor’s Degree
  • Years of experience: 2-5
  • Licensures: N/A
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PostMatches By WorkStaff USA

In this role, the Solution Architect will be responsible for solution’s and architecture of Data, Analytics & ML/AI solution for Insurance Industry (Property, Casualty, and/or Life Insurance). This role will be working across different project and customer teams providing data architecture and design expertise on machine learning and big data projects. Will provide thought technical leadership, vision, proven design patterns and practical implementation for automated, data-driven solutions leveraging cloud platforms. The scope of work includes machine learning, analytics, data integration, data warehouse, data lake, automation, and other emerging cloud-based data services and technologies.


Work with client business stakeholders to understand their business issues and formulate technology solution and architecture
Define data architecture and elaborate on business and technical benefits and return of investment
Provide hands-on design and development expertise to build the prototype of proposed solution or architecture
Lead, plan and design the overall data architecture vision of cloud-based intelligent technology solutions
Contribute to data-driven use case definition and creative thought leadership
Collaborate with teams across Cognizant to create targeted pitches and solution offerings.
Support RFIs and RFPs from prospects and clients.
Build & manage senior and mid-level customer relationships in Business & IT.
Engage with strategic product partners for joint marketing and sales, plan and participate in relevant industry events and so on. Drive pipeline planning, lead generation and joint pursuits with them.

Required Skills and Qualifications:

Track record of solution, design, and development of Data and Analytics solutions in Insurance vertical.
Background in Insurance (P&C and/or Life Insurance) with good understanding of business processes. Strong experiences in design patterns for large and complex data warehouse, big data systems, and ML/AI solutions
Minimum of three years of development/architecture in Microsoft Azure ecosystems, Amazon AWS or similar cloud platforms
Knowledge of R and Python or similar industry tools in data science and machine learning applications
Business acumen, communication and drive for results.
Strong leadership skills, particularly with highly diverse teams.
Excellent oral and written communication skills.
Exceptional client management skills and experience.
Hands on working style, willing to roll up his / her sleeves to ‘get the job done’.
Comfortable working on concurrent pursuits and activities; ability to prioritize and manage time.
Dynamic entrepreneurial spirit and collaborative approach.

Work Authorization:

Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.


Employee Status:
Full Time

Employee Travel:
Yes, 50 % of the Time

Job Level:
Professional Job Type:

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