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MIT Lincoln Laboratory IT Director - BI and Analytics in Lexington, Massachusetts

Position Description

The Enterprise Business Intelligence and Data Analytics Technical Manager, provides leadership and technical oversight for the Business Intelligence (BI), Data Analytics (DA) and Reporting Team. This team consists of centralized and decentralized technical expert BI and DA designers, developers and architects who are responsible for building and supporting a modern enterprise BI and DA ecosystem, developing enterprise analytics, algorithms, dashboards, reporting information tools, and queries. The Manager is responsible for the vision, leadership, and strategic direction for this, promoting the use of data by end-users across the enterprise through self-service solutions and compelling analytics and visualizations. The Manager is also directly responsible for leading the technical development of BI and DA initiatives and directs the technical BI and DA development strategies, implementation methods and processes for both structured and unstructured data. The BI and DA Manager will leverage data to promote innovative ways of achieving alignment of the business intelligence and data analytics function to the enterprise strategic goals.

This position is under the general supervision of the Deputy CIO, for Enterprise Application.

This position interacts frequently with Department and Division Leadership, the Business Transformation Office, Vendors and peer Organizations.


  • Master's or Bachelor's degree in business, computer science, engineering, system analysis mathematics, or an analytical field of study

  • Organizationally savvy, can understanding big picture, and how to navigate to build consensus among stakeholders and colleagues

  • Self-starter with strong leadership and management skills

  • Ability to understand and speak the language of “the business” and “information technology”

  • Exceptional interpersonal skills, including teamwork, facilitation and negotiation

  • Excellent technical skills and data analytics process skills (CRISP-DM)

  • Ability to define the value of the data asset to the enterprise

  • Experience with modern BI tools such as Domo/Tableau/Looker/SAP/PowerBI Cloud Platforms

  • Familiarity with R, Python, SQL, and Machine Language algorithms and data analysis

  • Knowledge of conceptual, logical and physical modeling, especially for rationalizing data objects

  • Knowledge of information management practices, architecture and frameworks, SDLC management

  • Ability to collaborate with other BI architects to support common goals and approaches

  • Ability to collaborate with business analysts and data stewards to assess if the model is fit for use

  • Ability to work independently toward delivery of goals as well as collaborate on team efforts

  • Ability to translate business needs into enterprise BI and analytics architecture requirements

  • Ability to rapidly comprehend new and emerging technologies, and potential implications to the enterprise BI and DA architecture

  • Excellent written, verbal, communication and presentation skills

    Preferred Requirements

  • Certification in business intelligence framework and data management

  • Higher-Ed and/or Government experience


  • 10+ years in Information Systems Technology with 5+ years of experience managing BI and DA teams

  • 5+ years of experience leading with data warehouses, data marts and supporting tools

  • 3+ years of experience leading organizations to implement future state business intelligence architectures and/or solutions

  • 3+ years of experience leading major business intelligence and analytics development projects

  • 3+ years of business experience in strategic and business planning

    Financial Responsibilities include overall management of the investment and operational budget for the BI and Analytics Sector

Primary Duties

(60%) Lead and Influence the Laboratory Technical Business Intelligence Analytics and Reporting team

  • Understand the Laboratory business models and strategy and how to leverage BI and DA approaches and technologies to help the company realize its goals.

  • Assess the Laboratory current state enterprise BI and DA capabilities and research industry trends, business practices and develop recommendations to meet future business needs.

  • Become a trusted partner to Department and Division applications providers, leaders and executives while educating stakeholders on the value of business intelligence solutions and how to use them successfully.

  • Lead the unification of centralized and decentralize BI and DA resources at the Laboratory into a cohesive team.

  • Understand industry and modern BI and DA architecture technology trends so as to effectively support and guide technology decisions.

  • Identify the data assets that are deemed significant to the enterprise, as determined by the business and integrates into data insights.

    (25%) Communications and Collaboration

  • Establish metrics for tracking, measuring and communicating the value of data initiatives to the Laboratory

  • Communicate standards, guidelines, best practices and modeling techniques to the Business Intelligence, Analytics and Reporting staff at the Laboratory

  • Develop a process and method for bi-lateral communications and collaboration with other technology solutions providers

  • Identify and communicate the technical, organizational and financial impact of the Business Intelligence, Data Analytics and Reporting architecture

  • Present internally and external to the Laboratory, the Business Intelligence, Data Analytics and Reporting activities and progress

    (15%) Governance

  • Lead and facilitate the creation of BI and DA capabilities, modeling standards, guidelines, governance and best practices to guide architecture and technology decision making

  • Ensure that data modeling practices and guidelines are followed

  • Establish architecture documentation standards, process and system for upkeep

  • Assisting with the governance activities associated with broader technology decisions

  • Consult, guide and advise on solution implementations and modernization projects, particularly for new and/or disruptive solutions

  • Provide consultative advice to the business on tools, best practice and vendor activities in the Analytics arena



For Benefits Information, click

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

To safeguard our health and well-being, MIT Lincoln Laboratory requires COVID-19 vaccination for all employees. Individuals may request exemption from the vaccine requirement for medical or religious reason.

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.

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