The individual holding this position will take the lead role in coordinating and supporting SUNY's new IR Collaborative Services initiative. The Associate will work in close conjunction with the participating campuses as well as System IR staff members to successfully implement a highly effective and value-added collaborative services model. The individual will design and execute new sets of customizable metrics and key performance indicators (KPIs) for the participating campuses. The individual will also take the lead role in the development of tailored labor market analyses reports as well as tailored demographic-related analyses for the participating campuses. Further, the individual will become the office's expert on the Richmond Fed Survey of Community College Outcomes initiative and have responsibility for ensuring the data for the participating campuses is pulled and compiled accurately and submitted in a timely manner. Additional collaborative service responsibilities are expected to include the development, administration, and reporting of individualized campus surveys; individualized data reports and analysis; and consultation on and assistance with addressing campus data quality issues.  

The Associate for IR Collaborative Services will have strong analytical skills and will join the office well-prepared to regularly work with millions of records to produce both insightful snapshots and longitudinal reports. The individual will come with strong technical skills and will have an interest in learning new skills. The individual will have strong communication, facilitation, and project management skills. The individual will also be curious, resourceful, and self-motivated.

The Associate for IR Collaborative Services will enjoy working in a highly-regarded, supportive, and collaborative office environment and will be committed to making their own positive contributions to such an environment.
 

Duties and Responsibilities

IR Collaborative Services Specific:

• Develop a strong collegial, collaborative, and supportive relationship with campuses participating in SUNY's new IR Collaborative Services initiative.
• Coordinate IR collaborative service projects effectively and efficiently to deliver high-quality, actionable information for participating campuses.
• Work closely with participating campuses to develop customized metrics and KPI reports and dashboards, using data already collected as well as potentially new data sets not currently collected.
• Develop tailored labor market reports and analyses for participating campuses.
• Develop tailored demographics-related reports and analyses for participating campuses.
• Oversee the accurate and timely submission of Richmond Fed Survey of Community College Outcomes data on behalf of participating campuses.
• Lead the development of individualized strong and robust survey instruments for participating campuses.
• Develop survey result reports and dashboards for participating campuses.
• Create combined and integrated data sets for the purposes of longitudinal analysis and advanced analysis.
• Perform ad hoc data analysis and predictive analytics in conjunction with participating campuses, utilizing data already provided as well as potentially data not currently collected.
• Document analytical procedures and methodology.
• Prepare IR collaborative services accountability summary reports on a regular basis.
• Co-facilitate on-going discussions on at least an annual basis of current collaborative services provided and services to be provided in the future.

General Office:

• Review detailed data submissions for participating campuses and assist in their finalization as needed to ensure a solid data foundation and understanding.
• Serve as an office co-lead on labor market data, tools, and resources.
• Serve as an office co-lead on demographics-related data, tools, and resources.
• Collaborate with SUNY campus counterparts and associates from other SUNY System Administration offices, as needed and appropriate.
• Assist in responding to ad hoc data requests for information, data, and analysis, as needed and appropriate.