AI Business Intelligence Engineering Manager
AI Business Intelligence Engineering Manager
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Job Description
Job Description
Job Summary
The AI & Business Intelligence Engineering Manager will lead the design development and integration of AI solutions while performing data analysis forecasting and business strategy initiatives. This handson role involves fullstack software development using technologies such as React Python JavaScript and large language models (LLMs) and other AI technologies to build an AI career coach application. The candidate will also be responsible for automating processes including ETL of data and report writing through programming and AI and within cloud computing environments. A solid understanding of higher education is essential along with excellent communication and collaboration skills.
Key Responsibilities & Accountabilities:
AI Development & FullStack Engineering 30
- Lead and execute the design development and integration of AI and Machine learning technologies and applications using React Python JavaScript and LLMs and ML/DS libraries.
- Build and maintain an AI career coach application with seamless cloud integration (Azure CI/CD pipeline) for CPE.
- Provide technical leadership and collaborate with research and technical teams to optimize and troubleshoot AIdriven solutions.
Data Management Analysis & Forecasting 30
- Perform and oversee data preprocessing analysis and forecasting initiatives using Python and related technologies like Jupyter Notebook.
- Develop and monitor key performance indicators (KPIs) that drive program improvement and strategic planning for CPE senior leadership.
- Automate ETL processes and report writing using programming and AI to ensure accurate and timely data flow.
- Deliver clear actionable reports and visualizations that support datadriven decisionmaking for CPE stakeholders
Business Intelligence & Strategic Collaboration 20
- Collaborate with leadership business teams and prospective partners to align data intelligence with strategic goals business requirements and partnership objectives.
- Develop and deliver engaging datadriven presentations custom reports and actionable recommendations that highlight the value of CPEs programs and partnerships.
- Serve as the technical liaison between other university units and CPE leadership ensuring that data insights are accurately collected and translated into practical actionable strategies.
- Provide handson support by troubleshooting reporting system issues and working with CPE stakeholders to tailor and optimize data solutions.
Data Infrastructure Development & Maintenance 20
- Design and implement robust data architectures and infrastructures to support analytics and reporting needs.
- Ensure data quality and consistency collaborating with IT and crossfunctional teams to resolve discrepancies.
- Develop and maintain tools and processes that streamline data collection storage and analysis.
Required Skills and Qualifications:
- Programming & FullStack Development:
- Proficiency in Python JavaScript and modern frameworks like React and Flask.
- Experience with RESTful API development and cloud integration.
- Experiencing building software and doing research in the education space.
- Generative Artificial Intelligence & LLMs:
- Handson experience with generative AI models (e.g. OpenAI GPT Llama Gemini) and familiarity with prompt engineering and Retrieval Augmented Generation.
- ETL Automation & Data Engineering:
- Expertise in automating ETL processes and report generation using programming and AI.
- Knowledge in data preprocessing analysis and forecasting.
- Cloud Technologies & DevOps:
- Experience working with cloud platforms (e.g. Azure AWS Google Cloud) preferably Azure.
- Familiarity with containerization (Docker) and CI/CD pipelines.
- Data Visualization & Business Intelligence:
- Proficiency with BI and visualization tools such as Power BI or Tableau or other data science libraries/frameworks.
- Strong analytical skills to transform data into actionable insights.
- Software Engineering Best Practices:
- Indepth knowledge of version control systems (e.g. Git) agile methodologies and testing frameworks.
- Commitment to writing clean maintainable and scalable code.
- Communication & Collaboration:
- Excellent communication and interpersonal skills for effective crossfunctional teamwork.
- Ability to translate complex technical concepts into clear businessrelevant strategies.
- Domain Knowledge:
- Familiarity with higher education or degree program environments.
Minimum Qualifications:
- A Masters degree in computer science data science mathematics business administration or a related field and 12 years of relevant professional experience in engineering roles and working within a team especially in Full stack AI development and data engineering. The professional work experience should include:
- 12 years of relevant professional handson experience in building and maintaining AI applications particularly in career coaching or educational settings with.
- Strong professional experience in designing and developing Retrieval Augmented Generation GenAI systems
- Proven expertise in efficient and reliable preprocessing of multimodal data (image audio text) to apply vectorization and create RAG pipeline.
- Strong collaboration skills with the ability to clearly explain technical concepts to different teams.
- Proficient with Excel and Data analysis using Python (eg: EDA Forecasting)
- Indepth knowledge of Python and its machine learning libraries (like sklearn TensorFlow PyTorch statsmodels etc..
- Experience with various tools languages and frameworks in the Big Data and cloud ecosystem.
- Solid skills in machine learning designing data structures applying advanced analytical and statistical methods and overall architecture planning.
- The ability to measure business improvements from optimization techniques using business analytics and statistical modeling.
- 12 years of relevant professional experience in exploring or productizing the latest AI technologies including LLMs and vector databases.
- Proven analytical skills with experience in tracking KPIs and measuring performance.
- Familiarity with using existing inhouse data platforms and the initiative to build new data solutions when needed.
- Excellent verbal and written communication skills to effectively explain technical solutions and results to both technical and nontechnical audiences.
- Experience working independently under tight deadlines and delivering results efficiently.
- 12 years of relevant professional experience with requirements gathering facilitating meetings presentation creation and ability to prepare deliverables.
Preferred Qualifications:
- Prior work in a startup environment a plus
- Experience with building applications.
- Worked on data analysis automation and reporting.
- Experiencing deploying database and application on Azure Cloud.
- Work experience with AI RAG applications.
- Prior work in business intelligence with data visualization and database technologies (e.g. SQL Snowflake).
Supervision:
This role will oversee the tech stack at CPE which may include a team of hourly temporary workers data analysts and research assistants. In addition the role acts as the supervisory liaison to any thirdparty tech service contract companies. It requires strong leadership mentorship and collaboration skills to work effectively with crossfunctional teams including IT data science business strategy and academic program leaders.
Department
College of Professional EducationGeneral Submission Guidelines:
Please submit an online application to be considered a candidate for any job at Stevens. Please attach a cover letter and resume with each application. Other requirements for consideration may depend on the job.
Still Have Questions
If you have any questions regarding your application please contact .
EEO Statement:
Stevens Institute of Technology is an Equal Opportunity Employer. Accordingly Stevens adheres to an employment policy that prohibits discriminatory practices or harassment against candidates or employees based on legally impermissible factor(s) including but not necessarily limited to race color religion creed sex national origin nationality citizenship status age ancestry marital or domestic partnership or civil union status familial status affectional or sexual orientation gender identity or expression atypical cellular or blood trait genetic information pregnancy or pregnancyrelated medical conditions disability or any protected military or veteran status.
Stevens is building a diverse faculty staff and student body and strongly encourages applications from people of all backgrounds. Stevens is a federal contractor under the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) and the Rehabilitation Act of 1973 as well as other federal statutes.
NSF ADVANCE Institution Stevens values diversity and seeks candidates who will contribute to a welcoming and inclusive environment for students faculty and staff of all backgrounds. We are an NSF ADVANCE institution committed to equitable practices and policies and strongly encourage applications from women racial and ethnic minority candidates veterans and individuals with disabilities.
Jeanne Clery Disclosure:
In accordance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act) the Department of Public Safety is required to publish an annual security report which includes statistics mandated by the Clery Act. Click here for a copy of this report.
Required Experience:
Manager
Employment Type
Full-Time
