Job Description
MIT Lincoln Laboratory is a
nationally recognized research center dedicated to advancing technology in support of national security. Our
Finance Operations are leveraging
AI, machine learning, and predictive analytics to optimize financial strategy, forecasting, and risk management.
We are seeking a
Manager of AI and Predictive Analytics to
develop and implement data-driven solutions that enhance decision-making and operational efficiency. This role will work at the intersection of
finance, AI, and strategic analytics, applying cutting-edge
Natural Language Processing (NLP) causal inference, predictive modeling, and large-scale data analysis to drive impactful outcomes.
Duties and Responsibilities
AI & Predictive Analytics for Financial Strategy
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-Develop and deploy
AI-driven predictive models to enhance financial forecasting, budgeting, and risk assessment.
-Utilize
causal inference and machine learning to analyze financial trends.
-Build
custom NLP and LLM solutions to automate financial compliance monitoring, reducing risk and audit costs.
-Apply
data science techniques to optimize cost efficiency, resource allocation, and financial planning.
Enterprise Data & Process Automation
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-Integrate
AI models with ERP systems to streamline financial reporting and decision-making.
-Design and implement
real-time financial data dashboards for leadership insights.
-Drive
process automation to improve operational efficiencies and reduce manual workload.
Duties an Responsibilities (Cont.)
Leadership & Collaboration
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-Work cross-functionally with
finance, IT, and research teams to align AI initiatives with business objectives.
-Translate complex analytics into
compelling storylines and strategic recommendations for senior leadership.
-Lead and mentor a team of
data scientists and financial analysts in adopting AI-driven methodologies.
Qualifications
AI, Data Science & Predictive Analytics Expertise
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-5-8 years of related experience
-Proven experience in
machine learning, NLP, LLMs, causal inference, and predictive modeling.
-Expertise in
Python, SQL, R, Tableau, Snowflake, Sagemaker, and statistical modeling.
-Experience in
building AI-powered financial and compliance monitoring solutions.
Strategic Finance & Business Acumen
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-Strong background in
financial analytics, forecasting, market research, and investment strategy.
-Experience developing
data-driven business cases for multi-million-dollar investment decisions.
-Ability to synthesize insights from
large-scale financial datasets and multiple data sources.
Qualifications (Cont.)
Leadership & Communication
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-Demonstrated success in
leading high-performing teams and mentoring data professionals.
-Skilled at crafting and presenting
analytics-driven insights for executive decision-making.
-Effective collaborator with
finance, IT, and strategy teams to drive enterprise-wide innovation.
At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:
-Comprehensive health, dental, and vision plans
-MIT-funded pension
-Matching 401K
-Paid leave (including vacation, sick, parental, military, etc.)
-Tuition reimbursement and continuing education programs
-Mentorship programs
-A range of work-life balance options
-... and much more!
our Benefits page for more information. As an employee of MIT, you can also take advantage of
other voluntary benefits, discounts and perks.
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.
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.
Requisition ID: 41944
