Deputy CIO - Data, Analytics, AI

Deputy CIO - Data, Analytics, AI

Date:
Feb 25, 2026

Location:

Lexington, MA, US

Company: MIT Lincoln Laboratory

Isaacson, Miller is assisting MIT Lincoln Laboratory for this search. Inquiries, nominations, referrals, and CVs with cover letters should be sent via the Isaacson, Miller website for the search. Electronic submission of materials is strongly encouraged.

Primary Responsibilities

The Deputy CIO (DCIO) of data, analytics and artificial intelligence (DA&A I) 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, to enable a culture of data‑driven decision making and effective utilization of data assets and ecosystems across the enterprise. This role includes the refinement, management and execution of the Laboratory data and analytics strategy and establishing an operating model for operational, technical and research data products and services.

The DCIO is responsible for establishing and leading the operations of the DA&A I function; overseeing the continuous product development and management lifecycle, building trust and partnership with data domain owners and information licensing to ensure and manage high quality mission critical data; evolving technology capabilities, processes, and developing both talent and D&A culture. The DCIO for DA&A I reports to the CIO and works closely with the DCIO for Applications and the DCIO for Infrastructure, partners with business process owners, and is responsive to the Enterprise Capabilities Board for prioritization of projects.

This role is responsible for overseeing the strategy, architecture, development, operations, and support of Laboratory-wide data, analytics, AI applications and platforms, information research and archival preservation. It requires deep expertise in building and managing large‑scale data ecosystems, along with strong collaboration skills to engage effectively with C‑suite leaders, data owners, and key stakeholders.

• Refines, communicates and executes the DA&A I strategy, including vision, actions and outcomes for the R&D mission. Works in collaboration with the executive leadership, business and research domain leaders, and other relevant stakeholders.
• Directs the execution of the full data, analytics, and AI portfolio—including data models, large language models, platforms, applications and systems, and infrastructure—ensuring that these platforms and applications are scalable, reliable, and seamlessly integrated to deliver maximum value to the organization.
• Institutes an operating model including governance for DA&A I that is consistent with the capabilities and competencies required to execute the strategy. The operating model includes the ecosystem, architectures and delivery model.
• Builds partnerships with executive leadership, business and research leaders to ensure that data is managed, curated, and, when required, preserved as a Lab critical asset, and is AI‑ready. Establish and ensure appropriate tracking and measurement of the value derived from critical data assets.
• Communicates the tangible business value generated from DA&A I initiatives to stakeholders, executives, and the Lab community to institute a culture of data‑driven decision‑making and maximizes the value of data as a resource.
• Supports the Laboratory research and operations as a single source for research and technical information resources and content, including the preservation and accessibility of Laboratory intellectual property via the Research Library and Laboratory Archives functions.
• Manage, preserve, make accessible Laboratory intellectual property and promote a culture of exploration, learning, discovery, networking, and collaboration.
• Ensures data quality, comprehensiveness and readiness to optimally support analytics used for decision making vital to the Lab mission and strategic direction.
• Oversees delivery of DA&A I products. Enables integrated product teams to deliver continuous, iterative improvements on key critical products using human‑centric…