Senior Solutions Architect – Data Analytics

Senior Solutions Architect – Data Analytics

Requirements

• A technical master’s degree or PhD in a quantitative field such as computer science, statistics, mathematics, operations research, bioinformatics, information systems, economics, computational biology, physics, or chemistry.
• 10+ years of experience in developing and driving enterprise-level data architecture across sophisticated cloud platforms, including Azure, AWS, or GCP
• 10+ years of experience designing and working with data solutions in both non-classified and classified environments
• 10+ years of experience designing, deploying, and sustaining complex analytic and AI products and/or capabilities
• Experience working with ITAR, EAR, and other types of sensitive data, ensuring compliance with relevant regulations.
• 5+ years leading technical software engineering or analytic solution development teams
• 5+ years of experience in end-to-end understanding of cloud platform architecture, data architecture, solution development, and advanced data science methodologies and technologies.

Responsibilities

• Define and establish the strategic vision for applying analytics and AI across the program and develop the architecture strategy to create a robust data and analytics platform that supports this vision. Oversee the complete design, implementation, operation, and sustainment of the platform, capabilities, and solutions.
• Engage, collaborate, and align with program business and technical leadership to shape the strategic vision, ensuring rigorous alignment between key program objectives and analytical capabilities. Establish the necessary people, processes, and tools to deliver successful outcomes.
• Lead the formation of a high-performing data and analytics team dedicated to developing the data and analytics platform and delivering analytics and AI solutions to the program.
• Oversee plans, roadmaps, schedules, and budgets for the data platform while monitoring project progress, identifying risks, and engaging with stakeholders.
• Assess the programmatic impacts of technical decisions and recommend solutions based on value, productivity, and cost-effectiveness.
• Promote and advocate for the utilization and advancement of data and analytics among program stakeholders and customers to foster a culture of high data literacy and analytical thinking.
• Work closely with functional partner and enterprise technical organizations to ensure cohesive integration and alignment of efforts.
• Ability to provide thought leadership across business and technical project dimensions solving complex business requirements.
• Ability to communicate and collaborate effectively with senior leadership and technical team members.
• Effective interpersonal skills and collaborative management style to include teamwork and team building ability.

Preferred Qualifications

• 1+ years of Agile and/or SAFe Agile
• 5+ years of experience in the aviation & defense industry
• 5+ years of experience with the lifecycle development of a defense program
• Experience of working within a multinational matrix management environment / structure and a large-scale, sophisticated international organization