A cover letter and resume are important submissions for the hiring team to get a sense of your experience. In the cover letter, in two pages or less, please let us know how this role aligns with your career aspirations and skill set. Submit both a cover letter and resume as one file (because of system limitations). 

• Product Discovery & Strategy
  • Develop and align the Data, BI, and AI/ML product strategy with organizational goals and stakeholder priorities.
  • Identify opportunities and propose data-driven solutions to address business challenges and enhance product evolution.
  • Conduct user research to understand data needs and translate business problems into clear product requirements.
  • Establish success metrics and track outcomes for data products across the organization.
• Process Improvement and Excellence
  • Manage data product lifecycle from problem identification through scaled adoption and streamline the development processes to create scalable, repeatable workflows.
  • Ensure compliance with privacy regulations (FERPA, GDPR) and security standards.
  • Build self-service capabilities that democratize data access while maintaining governance.
  • Contribute to goal-setting in the Data and BI domain and mentor early-career team members to foster a culture of innovation and excellence in product management across CAI.
• Product Validation and Quality Assurance
  • Conduct QA reviews of data products, dashboards, and integrations to ensure accuracy, reliability, and usability.
  • Collaborate with data engineers, analysts, and stakeholders to validate requirements and ensure alignment with use cases.
  • Define quality standards, acceptance criteria, and governance frameworks for data products.
  • Identify and resolve defects or gaps before product rollout, embedding QA practices into the product lifecycle.
• Collaboration and Community Engagement
  • Communicate complex technical concepts clearly to bridge technical and non-technical stakeholders.
  • Collaborate with internal teams to deliver cohesive data solutions and foster positive stakeholder engagement.
  • Partner with Michigan Online squads on analytics, experimentation, and personalization needs.
  • Manage data product delivery from ideation to adoptive, overseeing scope, timelines, and dependencies.
  • Prioritize and manage product backlogs using agile methodologies for efficient execution.
  • Co-host a BI + AI Community of Practice to promote collaboration among data practitioners campus-wide.
  • Organize monthly Data Hours to showcase new features, provide training, and troubleshoot issues.

• Bachelor's degree is required and a degree in Business, Information Systems, or a related field is a plus.
• 5+ years of experience and progressive responsibility in product management, technical consulting, or similar roles.
• Product Management Expertise: Deep understanding of product management methodologies, including agile practices, backlog management, and prioritization. Previous Product Manager experience at a product company is a plus.
• Technical Foundations: Foundational understanding of data infrastructure, BI tools, AI/ML concepts, and platforms like salesforce.com. Hands-on fluency with these concepts and platforms is a plus.
• Data Governance and Security: Prior experience establishing scalable data governance practices and ensuring compliance with data privacy and security standards (e.g., FERPA, GDPR).
• User-Centric Skills: Proven ability to develop deep understanding of user needs and translate business problems into technical requirements.
• Communication Skills: Demonstrated capability to bridge technical and non-technical audiences, conveying complex concepts with clarity.
• Delivery and Strategy: Experience driving delivery of data products from ideation to adoption, managing scope and timelines, and planning user enablement strategies.
• Analytical & Problem-Solving Aptitude: Strong skills in identifying opportunities, anticipating challenges, and proposing data solutions; experience with tools for data analysis and reporting like Tableau and Looker is preferred.
• Project Management & Organizational Skills: Ability to independently manage projects and handle multiple tasks, including collaboration across teams using enterprise tools like Asana. In this highly cross-functional role, you will collaborate with stakeholders across CAI's operational, online learning, technology and marketing domains, and act as a translator between data teams and functional units. Product Manager and/or Agile Product Owner certifications are a plus.
• Knowledge Sharing: Experience in organizing communities of practice, hosting events, or facilitating knowledge-sharing sessions, with the ability to foster collaboration across diverse stakeholders.
• Industry Interest: Familiarity with trends in Data, BI, AI/ML, and educational technology, coupled with a proactive, results-oriented mindset and eagerness to learn.

The mode of work for this position is Hybrid with a minimum of 4 days in the office per week, Monday through Thursday, with an option of remote work on Fridays. On occasion, you may be required and must be available to work onsite on Fridays if necessitated by our center's policy and domain leadership or by your job requirements.

Must have legal authorization to work in the United States.

The salary for this position will be based upon the selected candidate's education and experience.

Excellent benefits are available, for details, see http://benefits.umich.edu/

Organizational Statement on Harassment

We believe all individuals deserve to be treated with respect and dignity and have the right to work in a professional atmosphere that promotes mutual respect and a safe space for collaboration. Any concerns shared with any staff members and student employees in the Center for Academic Innovation will be reported to the Equity, Civil Rights, & Title IX Office to be reviewed and addressed, and the Center for Academic Innovation encourages reporting of any forms of harassment including sexual and gender-based harassment.

Salary Information

The general salary range for this position is $90,000 - $110,000. Candidates can expect to be paid a competitive and equitable salary. Factors used to determine salary include education level, experience, knowledge and skills for the position and salaries that are currently established within the unit. All candidates are encouraged to discuss salary questions to honor alignment and transparency throughout the recruiting process. 

The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks will be performed in compliance with the Fair Credit Reporting Act.

Job openings are posted for a minimum of seven calendar days. This job may be removed from posting boards and filled anytime after the minimum posting period has ended.

The University of Michigan is an equal employment opportunity employer.

About University of Michigan - Ann Arbor

A great university is made so by its faculty and staff, and Michigan is recognized as one of the best universities to work for in the country. The Michigan culture is known for engaging faculty and staff in all facets of the university to create a workplace that is vibrant and stimulating.For two consecutive years, the Chronicle of Higher Education has placed U-M in its "Great Colleges to Work For" survey. In particular, the university earns high marks for strong relations between faculty and administrators, a collaborative system of governance, strong pay and benefits, and a healthy work/life balance.

Connections working at University of Michigan - Ann Arbor