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Company Overview
MIT Lincoln Laboratory is a federally funded research and development center dedicated to advancing technology in support of national security. The Laboratory conducts high-impact research in areas such as data analytics, artificial intelligence, cybersecurity, and advanced systems engineering. It provides innovative solutions to complex technical challenges while fostering a culture of collaboration, discovery, and excellence in scientific research.
Summary
The Deputy CIO (DCIO) for Data, Analytics, and Artificial Intelligence (DA&AI) provides executive leadership to leverage data and AI to drive enterprise-wide business and research value. This role oversees strategy, governance, and operations of the Laboratory’s data and analytics ecosystem, ensuring high-quality, AI-ready data assets, and promoting a culture of data-driven decision-making. The DCIO collaborates with executive leadership, research domain leaders, and stakeholders to implement data-driven initiatives across the organization.
Primary Responsibilities
Refine, communicate, and execute the DA&AI strategy, aligning vision, actions, and outcomes with the Laboratory’s R&D mission
Direct the execution of the full data, analytics, and AI portfolio, including platforms, applications, large language models, and infrastructure, ensuring scalability and reliability
Institute an operating model and governance framework for DA&AI aligned with enterprise capabilities
Build partnerships with executive, business, and research leaders to ensure data is curated, preserved, and AI-ready
Communicate the business value generated by DA&AI initiatives and promote a culture of data-driven decision-making
Support research and operations by managing access to Laboratory intellectual property and archives
Ensure data quality, readiness, and integration to support analytics and critical decision-making
Oversee delivery of DA&AI products and continuous improvement through integrated product teams and human-centric design
Foster data stewardship across business and research domains, ensuring governance, ethics, and responsible use of AI
Develop data literacy, related competencies, and enterprise-wide transformation initiatives to embed a data-driven culture
Track performance and adoption of DA&AI products with metrics and OKRs
Ensure compliance with regulatory, legal, and ethical standards in data practices
Required Skills and Qualifications
Minimum 15 years of progressive IT or technical leadership experience, including senior roles in data, analytics, or AI leadership
Strong technical proficiency in data management, analytics, machine learning, AI technologies, and data visualization/business intelligence tools
Direct experience leading product teams using Agile, Scrum, or SAFe methodologies
Exceptional leadership and interpersonal skills to influence and engage stakeholders across all levels
Strong communication skills for effective verbal and written interactions across organizational levels
Bachelor’s or Master’s degree in business, data science, computer science, statistics, or a related field
Desired certifications (not required) in data science, AI, cloud platforms (AWS, Azure, Google Cloud), or project management (PMP, Agile)
Demonstrated experience in change management, business transformation, and aligning data initiatives with organizational goals
Analytical mindset with the ability to translate complex data into actionable insights
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