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Senior Manager of Data AnalyticsUniversity Of MichiganAnn Arbor, Michigan, United States
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Senior Manager of Data Analytics

University Of Michigan
  • US
    Ann Arbor, Michigan, United States
  • US
    Ann Arbor, Michigan, United States

Über

Job Summary The Alumni Association of the University of Michigan is seeking a strategic leader as the Senior Manager of Data Analytics. This person will be responsible for spearheading the organization's transition into a modern, data-driven environment. In addition, this person will champion the delivery of trusted data metrics, predictive insights, and advanced analytics to empower data-backed decision-making across all AAUM programs.
The Alumni Association operates a robust, Salesforce-centered technology ecosystem supporting alumni engagement, membership, events, communications, digital services, and customer-facing products. The Senior Manager will transform data harvested across this ecosystem into actionable insights that optimize organizational performance and elevate the alumni experience. Additionally, as a key player in the Alumni Association's broader technology modernization initiative, this role will drive the adoption of next-generation analytics platforms and champion data literacy across the organization.
In addition to the responsibilities and qualifications listed below, candidates must share and hold to the highest regard the values that are uniquely inherent to the Alumni Association:
ALL IN
Believe in our mission
Be trustworthy and loyal to the Alumni Association and each other
Be passionate about what we're doing and be proud to be a part of it
Be an employee who goes above and beyond the call of duty
SERVING HEART
Be open and willing to listen to others and help in whatever way possible
You're dedicated to selflessly following the Platinum Rule: treat others the way they want to be treated
SOLUTION SEEKER
You're a creative problem solver
You're never satisfied with the status quo
You find a way to say yes
You embrace new ideas and approaches from different perspectives
You're collaborative, flexible and adaptive
Responsibilities
Lead the transition from Alumni Association's current data analytics capabilities to advanced interactive and scalable dashboards and business intelligence solutions
Leverage leading-edge technologies to design, build, and maintain interactive dashboards, scorecards, KPIs, and visual analytics for all departments and programs across the Alumni Association
Partner with stakeholders, including MarComm and Program Managers to define KPIs, reporting standards, and meaningful measures of alumni engagement, including but not limited to event participation, membership, volunteering, retention, revenue, and various measures for program effectiveness
Analyze data across the Alumni Association's data repositories to identify trends, patterns, opportunities, and risks and communicate insights to program stakeholders
Develop forecasting models, predictive analyses, segmentation approaches, and other advanced analytical solutions to support planning, marketing, and business decision-making
Establish and maintain data integrity standards to ensure data accuracy and reliability
Help stakeholders understand not only what happened, but why it happened, what may happen next, and which actions may improve outcomes
Standardize business definitions, reporting logic, and metric governance to improve trust and consistency in organization-wide reporting
Collaborate with Salesforce administrators, system owners, and Technology teammates to improve data readiness, reporting architecture, and analytics usability
Evaluate and apply practical emerging technology, such as AI-enabled capabilities that support business intelligence, predictive insight, and effective and timely access to data and information
Contribute to data quality, integrity, documentation, governance, and analytics best practices across the organization
Support the Alumni Association's adoption of modern analytics tools and methods through stakeholder engagement, consultation, and training
Oversee the data-related budget in alignment with program needs and organizational goals
Effectively lead, manage, coach, assign work, and set goals, objectives, and expectations for the data team, providing opportunities for personal and professional growth through regular performance reviews, guidance, and encouraging training while presenting new techniques, and recruiting/hiring staff as needed
General Responsibilities
Provide organizational leadership by demonstrating Alumni Association core values: All In, Serving Heart, and Solution Seeker, and helping other staff members demonstrate those values.
Value and embrace different identities and perspectives, recognizing that everyone has unique and different experiences that contribute to the best solution seeking and success for the Alumni Association.
Work with Alumni Association staff members to gain a clear and consistent understanding of the details of the strategic plan and feel equal ownership of every piece of it, including pieces for which there is no direct responsibility.
Be collaborative with all Alumni Association staff and teams. Operate as a critical contributing member of the staff to complete objectives in many different areas in order to move the whole organization toward the strategic plan.
Support University Relations efforts by demonstrating Alumni Association value to campus units/partners (i.e., schools/colleges, campuses).
Continually build digital skill sets in order to implement into work.
Staff and participate in team meetings, Alumni Association events that may be during evenings or weekends, and staff retreats including offsite, overnight staff retreats at Camp Michigania.
Provide staff support to the Alumni Association's Board of Directors, its committees, and other volunteers as needed.
Coordinate special projects as assigned or required.
Participate in Alumni Association and other University committees as required.
Share knowledge through internal communication.
Support the Alumni Association's vision of creating a place of belonging for all alumni.
Remain current with respect to technology and the university's educational resources.
Supervision Received
Direct supervision is received from the Executive Director of Technology
Supervision Exercised
Direct supervision is exercised over the Senior Data Analyst
Required Qualifications
Bachelor's degree in Data Analytics, Information Systems, Statistics, Computer Science, Business, Economics, or a related field or equivalent combination of education and experience
Minimum 5 years of progressive experience in business intelligence, analytics, data analysis, and decision-support roles
Strong experience designing and delivering dashboards, scorecards, KPIs, and reporting solutions for business stakeholders
Advanced proficiency in data management and experience with Business Intelligence and data visualization platforms such as Tableau, CRM Analytics, or similar tools
Experience with forecasting, trend analysis, segmentation, and other advanced analytical methods
Experience working with complex data environments, ideally including Salesforce CRM platforms
Strong ability to translate business needs into analytical solutions and actionable recommendations
Excellent communication, presentation, and stakeholder engagement skills
Demonstrated ability to work effectively across business, functional, and technical teams
Desired Qualifications
Experience with Salesforce reporting, Tableau Analytics, Data Cloud, Agentforce, and other Salesforce ecosystem tools
Experience in alumni relations, associations, membership organizations, nonprofits, or other constituent-centered organizations
Familiarity with data management best practices, ETL tools, MDM platforms, and Data queue solutions
Familiarity with data aggregation, data dictionaries, and data mastering best practices
Familiarity with alumni engagement, events, fundraising, marketing, membership, and digital engagement analytics
Experience with Python, R, or similar tools for statistical analysis and predictive modeling
Experience supporting business intelligence modernization, analytics transformation, or organization-wide BI initiatives
Familiarity with AI-enabled analytics tools and emerging business intelligence capabilities
Experience with data governance, metric standardization, and analytics operating models
Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment.
Work Locations The Alumni Center is located in Ann Arbor, MI. This position is hybrid and currently requires 2 days in the office a week. Starting in the fall, the position will require 3 days in the office a week.
U-M EEO Statement The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.
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  • Ann Arbor, Michigan, United States

Sprachkenntnisse

  • English
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