The Global Risk Solutions Technology team is looking to hire a Solutions Engineer, Data for the Analytics Enablement & Emerging technology team to support our Data Science Solutions (DSS) business teams to deliver technology solutions utilizing the latest in Artificial Intelligence and Machine Learning. As a Solutions Engineer you will be supporting one or more Agile teams within Data Science Solutions. Our teams are focused on business delivery through the development of advanced analytics products ranging from Geospatial and Location Intelligence models to Pricing and Risk selection models. Our technology team builds and supports a number of web applications (React/Python), predictive models, mobile applications and data pipelines. Our teams are also focused on partnering closely with our data scientists to build platforms and geospatial intelligence to provide location insights to our Claims adjusters and Underwriters. As a solutions engineer in DSS you will be involved in providing input into and the technology direction for many of the new products and solutions we are building using AI.

As a Solutions Engineer within Global Risk Solutions you will work with other software engineers, data engineers, solutions engineers, architects, managers, and directors to help build out our Global Data & Advanced Analytics strategy across dozens of development teams. This includes software engineering standards, testing as a service offering, and application quality observability.

 Responsibilities:

• Partner with business leadership with Data Science Solutions (DSS) and Global Data and Advanced Analytics Platforms to identify problems, and opportunities for technology innovation.
• Help establish a clear, consistent technology vision within DSS through collaboration, influence, and enablement.
• Research, recommend, design and develop systems and application architecture.
• Stay informed on initiatives across the industry and the enterprise to help product owners and IT leadership effectively prioritize.
• Tailor communication and convey complex ideas in a concise manner to a diverse set of audiences and venues.
• Craft guidance that helps delivery teams identify quality risk factors around security and compliance.
• Identify and assess the organizational impact of enterprise architecture and standards, including change in skills, processes, and structures.
• Accelerate delivery by forming a network of positive relationships with architects, data scientists, tech leads on other application teams, business stakeholders, and other influencers within the enterprise and beyond.
• Mentor associate engineers and senior leadership alike. Inspire and lead senior technical individual contributors.

• Consults on designing and developing programs and tools to support the advancement of our ML/AI capabilities and insights across DSS.
• Responsible for designing and building highly complex data architectures for our Analytics Platform that improve accessibility, efficiency, governance and data quality that directly impact business results.
• Collaborate with development teams and architects building Innovative, API first, cloud native solutions.Have a passion to learn and drive the adoption of newer technologies to ensure solution alignment with technical architecture, business plans and long-term strategy.
• Make recommendations to improve process efficiency and effectiveness, providing input to major architectural designs to ensure consistency, security, maintainability and flexibility with respect to overall system, technical and product architectures within the GRS Analytics & Emerging Technology teams
• Continually enhance full delivery pipeline through automation, expanded yet increasingly efficient test coverage, ultimately optimizing time-to-market and quality
• Deliver artifacts, technical alternatives and architectural designs that meet business requirements.
• Oversee design reviews and frameworks.
• Help establish a clear, consistent technology vision through collaboration, influence, and enablement.
• Research, recommend, design and develop systems and application architecture with a specific focus on software quality.
• Stay informed on initiatives across the industry and the enterprise to help product owners and IT leadership effectively prioritize.

Highly competitive applicants will have:

• Experience, prior knowledge or strong desire to learn predictive modeling, AI and ML techniques
• Experience working with Agile methodologies (Scrum, Lean Startup, XP) and cross-functional teams (Product Owners, Scrum Masters, Developers, Designers, Business Analysts)
• Ideally familiar with Design Thinking, Behavior and Test-Driven Development
• Strong coding skills, problem solving and troubleshooting.
• Strong leadership, communication and collaboration skills with track record of taking solution ownership
• Java, JavaScript, .Net, R, Python, SAS and related technologies
• Experience with CI/CD pipelines such as Bamboo or Jenkins (CloudForge)
• Experience in Cloud computing - AWS Platform, preferably PaaS services.
• Git version control
• You have 10 years demonstrating a high degree of proficiency in quality assurance practices used for testing and delivering complex, high-quality software.
• Experience with monitoring tools such as AppDynamics, NewRelic, Datadog, Splunk and the like
• Test Data Management is a tool you readily utilize to automate testing in CI/CD pipelines.
• You have deep knowledge of appropriate techniques to proactively monitor, alert, and create self-correcting mechanisms for issues within complex distributed systems and infrastructure.

Qualifications

• Bachelor`s or Master`s degree in technical or business discipline or equivalent experience; technical Master`s degree preferred
• Generally a minimum of 10 years related experience
• In-depth knowledge of IT concepts, strategies and methodologies
• In-depth knowledge of diverse and emerging technologies and new architectural concepts and principles
• Knowledgeable in data engineering languages and tools; proficient in new and emerging technologies
• In-depth understanding of layered solutions and designs; in-depth understanding of shared data engineering concepts and product features, as well as security minded
• In-depth knowledge of business operations, objectives and strategies; in-depth understanding of global business and technology trends and the financial services industry
• Highly developed negotiation, consensus building & influencing skills, facilitation and the adaptability to respond to change quickly
• Highly developed oral and written communication skills; strong presentation skills
• Ability to effectively collaborate with all levels of the organization

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