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Marketing Intelligence Professional

University of Notre Dame, Notre Dame, IN, United States


Marketing Intelligence Professional Notre Dame, IN, United States

Full-time

VP for University Relations

EIC2

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

Audience Strategy & Advanced Segmentation: Design and execute data criteria and dynamic segmentation strategies for multi-channel fundraising campaigns. Build and pull communication reports in SAP BusinessObjects to inform campaign audiences and provide data support for ongoing communications and initiatives. Develop reusable segmentation frameworks that improve personalization and campaign ROI over time. Leverage CRM and reporting tools to automate recurring audience builds where possible.

Partner with 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 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 South Bend, Indiana. This is a hybrid position. The 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, 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

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

Hiring Deadline Applications will be accepted through Wednesday, April 29, 2026

Equal Opportunity Statement 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. 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.

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