Deputy CIO - Data, Analytics, AI

Deputy CIO – Data, Analytics, AI Date: May 23, 2026 Location: Lexington, MA, US Company: MIT Lincoln Laboratory Primary Responsibilities The Deputy CIO (DCIO) of data, analytics and artificial intelligence (DA&A&AI) provides executive leadership for leveraging data, analytics and AI to drive enterprise business value. This includes exercising best practice product development and management approaches, instituting effective governance, and enabling a culture of data‑driven decision making. The role involves refining, managing, and executing the Laboratory's data and analytics strategy, establishing an operating model for operational, technical and research data products and services, and overseeing the continuous product development lifecycle. The DCIO reports to the CIO and works closely with other DCIOs and business process owners to prioritize projects and align with enterprise capabilities. The DCIO Refines, communicates and executes the DA&A&AI strategy, including vision, actions and outcomes for the R&D mission. Directs the execution of the full data, analytics, and AI portfolio—including data models, large language models, platforms, applications and systems, and infrastructure—ensuring scalability, reliability, and seamless integration. Institutes an operating model with governance for DA&A&AI that aligns with capabilities and competencies required to execute the strategy. Builds partnerships with executive leadership and research leaders to manage data as a critical asset and ensure it is AI‑ready. Communicates tangible business value generated from DA&A&AI initiatives to stakeholders and the Laboratory community. Supports Laboratory research and operations as a single source for research and technical information resources. Manages preservation and accessibility of Laboratory intellectual property and promotes a culture of exploration, learning, discovery, networking, and collaboration. In direct partnership and collaboration with data domain owners: Ensures data quality, comprehensiveness and readiness to support analytics for decision making vital to the Lab mission. Oversees delivery of DA&A&AI products and enables integrated product teams to deliver continuous, iterative improvements using human‑centric design and customer feedback loops. Establishes and maintains trust in AI‑ready data assets by instituting governance mechanisms for data stewardship across business and research domains. Leads transformation efforts to develop data‑driven culture, data literacy, and AI literacy across the enterprise. Tracks performance and adoption of DA&A&AI products, introducing metrics and OKRs to measure product success and data value realization. Ensures compliance with regulatory requirements, data protection laws, and industry standards in collaboration with legal and compliance. In partnership with the CISO and the Chief Ethics and Compliance Officer, oversees ethical and responsible use of data and algorithms. Required Skills and Qualifications Experience: Minimum of 15 years in progressive IT or technical leadership roles, with proven experience in a senior data, analytics, or AI leadership role. Technical Proficiency: Strong understanding of data management, analytics, machine learning, and AI technologies, including data visualization and business intelligence tools. Leadership Skills: Exceptional leadership and interpersonal skills, with the ability to influence stakeholders at all levels. Communications Skills: Strong verbal and written communications across all organizational levels. Educational Background: Bachelor’s or master’s degree in business, data science, computer science, statistics, or related field. Certifications: Desired, but not required, certifications in data science, AI, cloud platforms (AWS, Azure, Google Cloud), and project management (PMP, Agile). Change Management Skills: Experience assessing the impact of changes and implementing effective training and support programs. Business Acumen: Understanding of broader business context and alignment of data and AI initiatives with organizational goals. Analytical Mindset: Strong analytical and problem‑solving skills with the ability to translate complex data into actionable insights. The Hiring Range for this role is $250,000–$320,000, commensurate with experience. At MIT Lincoln Laboratory, we offer many benefits to support a healthy, balanced life, including: Comprehensive health, dental, and vision plans MIT‑funded pension Matching 401(k) Paid leave (vacation, sick, parental, military) Tuition reimbursement and continuing education programs Mentorship programs Work‑life balance options Additional benefits available through the employee benefits portal Selected candidates will be subject to a pre‑employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance. MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required. #J-18808-Ljbffr