Associate Director, AI and Data Analytics Product Manager

Stanford University; Palo Alto (CA); Hybrid; USD 120,000 - 155,000; Full time

Job summary

Stanford University in Palo Alto seeks an Associate Director, AI and Data Analytics Product Manager to lead the strategic vision for an AI-enabled, data-centric career center on campus with a hybrid onsite work option. You will oversee systems, data analytics, and vendor relationships, coordinating with students, alumni, and staff to deliver impactful career services and improve outcomes.

The role reports to the Founding Director of the Sustainability Career Studio and requires strong PM, data,

Qualifications

• 5+ years of product management and business operations experience.
• Experience with AI applications and data governance practices.
• Experience evaluating, selecting, and integrating third-party platforms.
• Higher education experience preferred.

Responsibilities

• Translate business processes into system requirements and/ordevelopment of systems solutions.
• Analyze new business requirements, assist with feasibility ofenhancement requests, system functionality, current system use and userneeds.
• Specify functional analysis and design and work with developersand analysts to recommend solutions and resolve system issues.
• Review, research and evaluate software to determine its usefulness and appropriateness as related to existing or proposed business systems; assist or develop preliminary and detailed system design documentation.
• Perform testing of new systems, upgrades and patching of existing systems; plan, conduct and document results of testing.
• Develop instructional materials, training and job aids.
• Advise users requiring assistance in solving complex problems or issues regarding management and business systems.
• Analyze data and provide data sets to users for analysis. May include development of operational and analytical reports for end users.
• Liaise with external vendors or partners in support of business systems, which may include system development, implementation and/or operations.
• Coordinate the implementation of new or modified business systems.

Skills

Product management

AI applications

Data analytics

Vendor management

Cross-functional collaboration

Stakeholder communication

Education

Bachelor's degree

Tools

CRM systems

AI-enabled platforms

Data analysis tools

Website analytics

Job description

This position has been deemed critical by the Stanford Doerr School of Sustainability Dean's Office and is exempt from the hiring pause.

This position is based on Stanford's main campus with consideration given to the option for a hybrid work schedule (3~5 days a week onsite), subject to operational need.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment VISA.

About Us

The Stanford Doerr School of Sustainability strives to create a future when humans and nature thrive in concert and in perpetuity. The school is made up of a three-part structure to drive global impact: Our academic departments and programs educate students and create new knowledge across areas of research that are crucial for advancing the long-term prosperity of the planet and people; Institutes bridge scholarship at Stanford and beyond, bringing multiple viewpoints to bear on urgent challenges; The Sustainability Accelerator drives new policy and technology solutions through a worldwide network of partners who work with our teams to develop solutions at a global scale. The school is dedicated to creating and supporting a community with the richness of experience and background needed to create solutions that benefit all people, particularly those most affected by environmental damage and climate change.

For more information on the school, click here.

The Stanford Doerr Sustainability Career Studio (SCS) delivers career support to Stanford Doerr School of Sustainability students, to recent alumni and to sustainability-interested Stanford students. Through 1:1 advising, career workshops, employer and alumni engagement, and career pathway resources we help students define and pursue fulfilling, high-impact careers addressing the world's climate and sustainability challenges and opportunities. The Sustainability Career Studio partners with students and alums to find the work where their interests, skills and experience matter most, build the relationships that open opportunities, and develop the confidence and skills to pursue them. As part of the Career Studio, the Sustainability Pathways Internship Program connects students with mission driven organizations offering summer internships. The Stanford Doerr Sustainability Career Studio builds deep collaborations globally with employers in industry, government and civic organizations to create the world's strongest ecosystem for careers in sustainability.

This is a rare opportunity to build an impactful and enduring career services organization from the ground up. It calls for an entrepreneurial mindset: the ability to take initiative and ownership, move with flexibility, shape new programs, and create new relationships and infrastructure where none existed before. We invite you to join our mission to inspire and enable students to pursue careers in sustainability.

The Sustainability Career Studio seeks an Associate Director, AI and Data Analytics Product Manager to lead the strategic vision and implementation of an AI-enabled and data-centric career center. This position will report to the Founding Director of the Sustainability Career Studio.

Primary responsibilities include:

• Systems Design and Technical Product Management: Lead the strategic vision for the technical and operational infrastructure of an AI-enabled and data-centric career center. Evaluate, select, deploy and manage a portfolio of career services systems and tools including CRM systems, AI-enabled career services platform and tools, data analysis tools, alumni data collection processes, and email marketing tools. Ensure all AI and data solutions adhere to institutional policies, ethical AI principles, and security standards.Develop, track and report impact and engagement metrics of the systems and processes deployed. Stay current on best practices, emerging technologies, and trends in career development. Make recommendations for new programs or tools


• Vendor Management: Serve as a subject matter expert and liaison between university stakeholders, IT teams, and external software vendors. Manage vendor relationships, contract approval processes, stakeholder communications, development of project plans, budget and vendor payments


• Operational Analysis and Management: Translate complex operational needs into actionable solutions applying emerging AI technologies to automate manual tasks and optimize operational efficiency


• Data Analysis and Reporting: Own the tracking, maintenance and reporting of student and alumni employment outcomes data. Define and launch outcomes data collection processes. Supervise contractors hired to support tracking and maintenance of student and alumni employment data


• Support the Career Studio's broader engagement analytics by helping advisors and program staff collect and interpret student, employer, and alumni engagement data to inform advising, programming, and outreach decisions.


• Support employer-facing staff and Career Advisors with email campaigns, website content development, customized communications, and surveys


• Lead the technical aspects of student onboarding with the Career Studio including the collection of resumes and student career preferences


• Maintain the Career Studio's website infrastructure and platform integrations; own website performance and engagement analytics (traffic, content engagement) to inform content strategy.


• Develop and facilitate workshops for Career Studio staff and students on AI tools and applications relevant to the job search process


• Provide technical support, as needed, for implementation of career education workshops and employer events


• Contribute to the development of the Sustainability Career Studio brand identity - its purpose, perception, personality, position, and promotion

In addition to the minimum qualifications listed below, our preferred requirements include:

• 5+ years of experience in product management and business operations


• Demonstrated working knowledge of AI applications, machine learning tools, prompt engineering, AI guardrails, data modeling, privacy and governance practices


• Demonstrated experience evaluating, selecting, and integrating third-party platforms and tools (e.g., CRM systems, AI-enabled services) into a cohesive technical ecosystem.


• Experience owning data infrastructure end-to-end - from source systems through analytics and reporting - with a track record of using that infrastructure to inform organizational decisions.


• Experience in technical product management, including designing and scaling systems architecture - from requirements gathering through deployment and iteration.


• Exceptional interpersonal, communications and written skills to bridge technical concepts for non-technical team members and stakeholders.Confidence in engaging with students, alumni and internal and external stakeholders and vendors


• Commitment to the highest standards of customer service


• Experience in higher education or similar


• Entrepreneurial mindset, with demonstrated ability to take initiative and ownership across a broad range of projects


• High level of attention to detail and follow-through with the ability to multitask, meet deadlines, and work successfully in a fast-paced environment


• Experience with data analysis and reporting to develop dashboards, insights and recommendations.


• Ability to own projects from start-to-finish, defining and executing business processes, and to evaluate new and improve existing projects and processes


• Ability to manage differing interests of stakeholders and foster collaborative relationships


• A full embrace of innovation and creativity: Experiment with new ways of thinking about how to best serve our students' unique career needs


• Strong presentation skills, including both development of high quality visual presentations and verbal presentation and facilitation skills


• Ability to manage multiple workstreams and competing priorities in a fast-paced environment


• Willingness to contribute to a team culture of psychological safety, collaboration, entrepreneurship, commitment to excellence and fun.

The expected pay range for this position is $120,000 to $155,000 per annum.

Responsibilities

Core Duties

• Translate business processes into system requirements and/ordevelopment of systems solutions.




• Analyze new business requirements, assist with feasibility ofenhancement requests, system functionality, current system use and userneeds.




• Specify functional analysis and design and work with developersand analysts to recommend solutions and resolve system issues.




• Review, research and evaluate software to determine its usefulness and appropriateness as related to existing or proposed business systems; assist or develop preliminary and detailed system design documentation.




• Perform testing of new systems, upgrades and patching of existing systems; plan, conduct and document results of testing.




• Develop instructional materials, training and job aids.




• Advise users requiring assistance in solving complex problems or issues regarding management and business systems.




• Analyze data and provide data sets to users for analysis. May include development of operational and analytical reports for end users.




• Liaise with external vendors or partners in support of business systems, which may include system development, implementation and/or operations.




• Coordinate the implementation of new or modified business systems.

Minimum Education andExperience

Bachelor's degree and five years relevant experience or a combinationof education and relevant experience.

Knowledge, Skills and Abilities

• Knowledge of computer system capabilities, business processes,and workflow.




• Experience with enterprise applications and understanding of database driven applications.




• Strong understanding of the software development lifecycle.




• Knowledge of principles and techniques used in conducting management studies and in systems analysis.




• Current knowledge of rapidly changing computer technology.




• Skill in conducting interviews and facilitating group meetings.




• Skill in developing and conducting training programs.




• Excellent communication skills, both written and verbal, including the ability to bridge functional and technical resources by communicating effectively with individuals of varying systems expertise and business needs.




• Strong listening, negotiation and conflict resolution skills.




• Ability to design and document complex business systems.




• Proven problem solving and analytical thinking and ability to approach problems logically and systematically.