Marketing Intelligence Professional Job at University of Notre Dame, Notre Dame, IN

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  • University of Notre Dame
  • Notre Dame, IN

Job Description

Job Description



Office Summary:  The University of Notre Dame’s Office of Annual Giving is a subset of its Development department, responsible for soliciting and stewarding donors at all giving levels across multiple funds and Giving Societies. The Annual Giving team creates strategies and optimizations for new and recurring campaigns, communications, and events – executing in channels including email, web, social media, SMS/text, print, and in-person. 

The key metric objectives of Annual Giving are to increase unrestricted giving and total donor count annually–raising funds to support the highest needs and priorities of the University at any given time.

Role Summary: The Marketing Intelligence Professional is crucial to the day-to-day operations of Annual Giving, assisting with audience generation, segmentation, and data strategy for the University’s multi-channel fundraising campaigns. This role designs and executes data selections for solicitations and stewardship efforts, leveraging performance analytics, automation, and emerging AI-enabled tools to enhance targeting, personalization, and efficiency. The Marketing Intelligence Professional also oversees the auditing, tracking, and acknowledgment processes for Giving Society members.

Through accurate data management and actionable insights, this role drives the effectiveness and continuous optimization of Annual Giving solicitations and stewardship initiatives.

The Marketing Intelligence Professional reports to the Director of Marketing and Operations and works collaboratively with the Senior Data Analyst to advance data-driven strategy and innovation across the team.

 

Responsibilities include:

Audience Strategy & Advanced Segmentation: Design and execute data criteria and dynamic segmentation strategies for multi-channel fundraising campaigns. This requires building and pulling communication reports in SAP BusinessObjects to inform campaign audiences, as well as other data support as requested for ongoing communications and initiatives. The Marketing Intelligence Professional will develop reusable segmentation frameworks that improve personalization and campaign ROI over time. They will leverage CRM and reporting tools to automate recurring audience builds where possible.

The Marketing Intelligence Professional may also partner with the Senior Data Analyst and Business Intelligence Team to apply predictive models, engagement scoring, and behavioral insights to audience selection. 

AI & Data Innovation:  Explore and implement AI-assisted tools and processes in collaboration with the Senior Data Analyst to drive efficiencies and innovations in the data space for the Annual Giving team. Identify opportunities to streamline manual processes through workflow automation. Support the integration of emerging data tools and processes that enhance personalization and scalability.

Campaign Intelligence & Optimization:   Conduct post-campaign analysis to identify trends, lift, performance, and opportunities for optimization. Support test-and-learn experimentation (A/B tests, channel sequencing, timing optimization). Provide recommendations that inform future strategy rather than simply reporting outcomes.

Giving Society Membership Data & Communications: Architect and manage scalable data processes for Giving Society membership tracking and recognition. Ensure data integrity, audit accuracy, and clean coding within the CRM. Identify opportunities to automate acknowledgment workflows and enhance personalization. Own the acknowledgment and stewardship email and mail process and execution for our Giving Society members in-house and with vendor partners on behalf of the Giving Society fund owners.

Work Environment: The Marketing Intelligence Professional is required to work in our South Bend, Indiana. This is a hybrid position. This role is typically 40 hours/week but will require additional hours during high-volume periods, including but not limited to home Notre Dame Football games, our annual day of giving (Notre Dame Day), and other engagement events.

 

Desired Skills & Attributes:

  • Proficient in Data Evaluation & Manipulation: Ability to work within and understand reports that contain thousands of raw data points.
  • Comfortable Using AI in Data Analysis: Utilizes AI tools to enhance data evaluation, efficiency, and insight generation.
  • Attentive to Detail: Pays attention to small nuances in data, catches mistakes in large data sets, and works thoroughly to ensure 100% accuracy.
  • Confident Communicator: Expresses ideas and opinions clearly and persuasively, fostering trust and respect.
  • Composed Under Pressure: Remains calm and focused in demanding situations, ensuring sound decision-making.
  • ​​​​​​​Highly Personable: Builds strong rapport and positive relationships with colleagues and stakeholders.
  • Proven Trouble-Shooter: Adept at identifying, diagnosing, and resolving problems efficiently and effectively.
  • ​​​​​​​AI Fluency in Data Workflows: Uses AI tools to accelerate data analysis, enhance segmentation, and streamline reporting processes.
  • Resourceful: Independently seeks out information and resources to overcome challenges and achieve goals.
  • Contextual Thinker: Understands how individual data points and analyses fit within Annual Giving’s broader objectives and strategies.
  • Forward-thinking: Considers the long-term impact of current work, leveraging insights to enhance future campaigns and communications.

Qualifications



Minimum

Qualifications

:

  • Bachelor’s degree
  • 2-3 years of post-graduate work experience in a related field 
  • Experience managing data flow in an automated fundraising model or a similar high-volume customer sales and service environment
  • Understands fundraising methods and practices and key data required to identify, engage, and fundraise with entities
  • Handles sensitive information ethically, with the utmost integrity 
  • Comfortable working in Microsoft Excel and Google Sheets with large data sets
  • Proven ability to manage multiple projects and responsibilities simultaneously while maintaining high quality
  • Proven ability to consistently meet deadlines, fulfill commitments/complete assignments, and maintain a high standard of work
  • Delivers accurate data and information in all aspects of work
  • Familiarity with AI tools in a data or analytics context, with the ability to apply them to improve efficiency and insight generation
  • Self-starter with demonstrated initiative and accountability
  • Ability to work both independently and collaboratively within a team environment
  • Excellent interpersonal, oral, and written communication skills
  • A commitment to Catholic education and the mission and values of the University of Notre Dame
  • Dedicated to the goals of advancing higher education
  • Must be authorized to work in the United States without visa sponsorship

Preferred

Qualifications

:

  • Experience working in SAP BusinessObjects and/or Salesforce (Kindsight) Ascend
  • Experience working in higher education

Additional Information



RESUME & COVER LETTER ARE REQUIRED to be considered for this position. Please add in the attachments section of your application. 

Salary: $60,000 - $70,000, commensurate with experience

Applications will be accepted through Wednesday, April 29, 2026

The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The University is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, national or ethnic origin, sex, disability, veteran status, genetic information, or age in employment. Moreover, Notre Dame prohibits discrimination against veterans or disabled qualified individuals, and complies with 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a). We strongly encourage applications from candidates attracted to a university with a Catholic identity.

Job Tags

Full time, Work experience placement, Work at office

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