What are the responsibilities and job description for the Financial Manager, AI and Predictive Analytics position at MIT Lincoln Laboratory?
Date: Feb 21, 2025
Location: Lexington, MA, US
Company: MIT Lincoln Laboratory
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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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!
Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage ofother 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
Nearest Major Market: Boston
Job Segment:
Security Clearance, Laboratory, Data Analyst, Defense, DoD, Government, Science, Data
