Associate Director of Business Intelligence

Title:

Associate Director of Business Intelligence

Department:

Business Intelligence

Reports To:

Associate Vice President for Enterprise Applications & Associate CIO

Position Type:

Staff

Position Summary:

The Associate Director of Business Intelligence position at NJIT offers a unique opportunity for a budding leader with large scale analytics solutions implementation experience. This position is responsible for the execution of the business intelligence strategy at NJIT. In partnership with members of the Information Services & Technology division, and with key campus partners within the Office of Institutional Effectiveness, HR, Finance, Enrollment Management, and Colleges, this individual is responsible for identifying the information, reporting and analytical needs of the university, and developing plans to achieve them. The Associate Director of Business Intelligence will be in charge of managing a team of business intelligence architects and developers. A hands-on, articulate and tech-savvy individual, with a strong background in technology disciplines related to enterprise analytics, this individual will lead and champion the use of the enterprise analytics and business intelligence platforms for strategic and operational decision-making across the university. The individual should be a consensus-builder and must constantly learn and adapt to the rapid rate of change in IT and the business of academia.

Essential Functions:

Lead the implementation of an enterprise wide analytics strategy, incorporating needs from various campus divisions, aligned with the overall IT strategy.

Lead the ongoing management of the enterprise scale analytics platform, business intelligence tools and data management tools.

Contribute and support the instituting of data governance, along with the Office of Institutional Effectiveness, Finance, HR, and other key members of the campus community.

Provide innovative and forward thinking leadership towards analytics and business intelligence at NJIT, championing innovation and creating a culture of continuous improvement where new thinking is appreciated.

Strengthen data systems by ensuring architecture, standards and methods are documented and followed.

Institute appropriate controls and security measures that manage the university’s data. Apply risk management processes to identify, manage, and mitigate risk for all enterprise applications. Ensure appropriate policies and procedures are created and implemented.

Implement application performance management strategies, database strategies, monitoring strategies, and facilitate proactive planning to improve overall application performance for all relevant applications that are in scope for enterprise analytics.

Direct the efforts of the business intelligence team with deep and diverse technical capabilities, encouraging and facilitating on-going professional development in a field where technological change and innovation is constant.

Collaborate with the enterprise applications group leadership and IST counterparts on strategies that benefit the division and the campus.

Engage regularly with campus partners, including faculty, staff, students and alumni on topics and issues related to enterprise analytics, data and reporting needs.

Manage vendor relationships and resources.

Additional Functions:

Other duties as assigned

Prerequisite Qualifications:

A Bachelor's Degree in computer science, data science, information systems, or a related field.

5+ years progressive experience in deploying business intelligence solutions.

3+ years of experience with managing tasks and organizing teams.

5+ years of experience architecting data lakes, incorporating big data, dimensional data modeling, and data loading strategies, including implementing ETL/ELT solutions, and iPaaS platforms.

5+ years of experience with designing dashboards.

Effective communication skills.

Demonstrated leadership skills.

Demonstrated track record of delivering projects on time, within budget and within quality parameters.

At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position.

Preferred Qualifications:

A master's degree in computer science, data analytics, information systems, or a related field is preferred.

Understanding of data privacy and data retention.

A strong understanding of business and technical aspects of information technology.

Bargaining Unit:

PSA

Range/Band:

31

FLSA:

Exempt

Full-Time