Senior Associate Director, Data Science and Governance

Princeton, NJ, United States

Princeton University

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Overview

The Senior Associate Director, Data Science and Governance is a member of the Data Strategy & Innovation team within University Advancement. Data Strategy & Innovation is dedicated to housing, managing, analyzing, and disseminating information and data to inform Advancement strategy, foster strong relationships with donors, volunteers, and campus partners, and promote effective integration.

 

Reporting to the Executive Director of Prospect Engagement and Data Strategy, the Senior Associate Director, Data Science and Governance will work closely with the Executive Director to design analysis and models that inform University Advancement’s fundraising and engagement efforts and will oversee an enterprise-wide role-based approach to data access through data governance policies and practices. This role will lead the Data Science team, coordinate successful execution of projects, and provide management and training for the Data Science team. This role requires initiative, critical judgment, innovation, discretion, and strong technical, writing, and communications skills

Responsibilities

Data Science• Utilizing a combination of business focus, strong analytical and problem-solving skills and programming knowledge, successfully execute strategies and solutions and work with the data science team to develop models and strategic analysis and drive new innovations and data exploration • Collaborate with colleagues in DS&I on data management and best practices to provide the foundation for data-driven decision-making• Work with statistical programming language, like R or Python, and database querying language like PL/SQL while successfully executing projects• Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes • Work with business users to define desired outcomes and business requirements of analyses, data visualization, and other reporting

 

Staff Management• Serve as the team lead for projects and priorities of the data scientists, working closely with the Executive Director, Prospect, Engagement, and Data Strategy to ensure projects are aligned with department and Advancement priorities• Responsible for the hiring and professional development of staff including training, mentoring, and identifying goals, objectives and metrics• Responsible for performance management of staff including staff appraisals and monitoring of activity and metrics• Other related tasks as assigned

 

Data Governance • Manage a transparent and consistent approach to role-based access to alumni and donor data within Advancement systems, develop and maintain policies for the governance and management of data access • Maintain roles and responsibilities related to data access and ensure clear accountability for stewardship of the Advancement’s alumni data• Oversee internal process and identify process improvements for administering access to alumni and donor data, ensuring requests are addressed in a timely and efficient manner • Maintain a data governance framework that aligns with the University and Advancement’s objectives and data strategy • Integrate existing processes into CRM and other tools that provide access to alumni and donor data• Act as a liaison between stakeholders, including other campus units and with vendors; effectively communicate data governance strategies, policies, and procedures to stakeholders at all levels

• Proactively research and stay current on data management and data governance tools and products; ensure that the tools used for data governance are effective and align with organizational needs

 

Data Security & Data Management • Facilitate the development and implementation of data protection standards and adoption requirements for all designated users of alumni and donor data • Collaborate with Data Strategy & Innovation colleagues to ensure that alumni and donor data is used in a manner that is consistent with laws and regulations, as well as University policies on data security and privacy• Maintain systems to monitor quality control and oversight of data collection and entry in order to adequately meet the data management needs of Advancement• Participate in cross-functional teams and projects, ensuring thorough documentation of processes and knowledge sharing, while maintaining clear and consistent communication

 

Qualifications

  • Bachelor’s degree 
  • 8+ years of relevant practical experience
  • Management and supervisory experience
  • Proficient in statistical programming languages, such as R or Python, and database querying languages such as PL/SQL
  • Excellent interpersonal skills and a high degree of professionalism and initiative
  • Excellent written and oral communication skills
  • Excellent attention to detail; accuracy, flexibility and demonstrated ability to be proactive and to prioritize tasks
  • Proficiency with technology and systems; ability to quickly learn new systems and processes and
  • Strong problem-solving, data gathering and organizational skills
  • Strong computer skills, including proficiency in the Microsoft Office suite of applications (Word, Excel, PowerPoint and Outlook), CRM databases, ability to learn and manage alumni database information
  • Discretion in dealing with highly confidential material

 

Preferred:

  • Prior experience in an educational or fundraising setting a plus
  • Knowledge of Princeton’s mission
  • Experience in higher education

 

Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. KNOW YOUR RIGHTS

Standard Weekly Hours

36.25

Eligible for Overtime

No

Benefits Eligible

Yes

Probationary Period

180 days

Essential Services Personnel (see policy for detail)

No

Physical Capacity Exam Required

No

Valid Driver’s License Required

No

Experience Level

Director

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Tags: Data governance Data management Data strategy Data visualization Driver’s license Excel Privacy Python R Research Security SQL Statistics

Region: North America
Country: United States

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