Senior Manager, People Analytics Generative AI Platform - job 11 of 21

The Senior Manager, People Analytics at the Generative AI Platform will be responsible for defining and implementing the chatbot and generative AI strategy, tracking project progress with JIRA, and managing the product lifecycle from inception to ongoing maintenance. You will also define success criteria and metrics to showcase ROI, facilitate adoption, and lead cross-functional teams to deliver on our people analytics goals.

To be considered for the Senior Manager role at the Generative AI Platform, candidates should have a strong background in product management and experience with generative AI applications. Comprehensive knowledge of agile methodologies, experience with JIRA, and the ability to collaborate effectively with cross-functional teams are essential. A proven record in analytics, as well as leadership experience in managing AI-driven projects, makes for a highly competitive candidate.

As the Senior Manager at the Generative AI Platform, you will enhance employee engagement by developing AI solutions that simplify data interactions and create enriched employee experiences. By rolling out effective chatbot solutions and leveraging advanced analytics, you'll strengthen the relationship between employees and their engagement with People analytics, ultimately driving a more connected workplace.

In this role, the Senior Manager, People Analytics will utilize JIRA and other agile tools to manage product development and track progress. A familiarity with analytics platforms and AI tools will also be important for overseeing the development of generative AI solutions and for tracking their implementation effectiveness. Keeping abreast of the latest AI and machine learning trends will contribute to continuous improvement in the platform.

The work environment for the Senior Manager, People Analytics role at the Generative AI Platform is dynamic and collaborative, located in Austin with a hybrid work model. You’ll have the flexibility of working both in the office and remotely, allowing for a balance of team collaboration and focused individual work. The culture emphasizes innovation, teamwork, and the pursuit of excellence in enhancing the employee experience through technology.

In responding to this question, focus on any direct experience you have in managing AI-based projects, particularly those that involved cross-functional collaboration, user research, and defining product roadmaps. Highlight specific tools you've used, like JIRA, and your approach to ensuring project alignment with strategic goals.

When answering this question, discuss the key performance indicators (KPIs) you typically set for AI-driven solutions. Explain how you gather data to assess effectiveness, including user feedback and engagement metrics. Providing examples of past experiences where you measured ROI would strengthen your response.

Share insights into current AI trends relevant to People Analytics, such as machine learning for predictive analytics, natural language processing in chatbots, and data privacy considerations. Tailor your answer to express how these trends could enhance employee experiences and improve HR strategies.

In your answer, outline a specific instance where you led a diverse team, detailing the project's goals and the challenges faced. Emphasize your leadership and communication skills, including how you motivated team members and collaborated effectively to reach project milestones.

Discuss your approach to prioritizing features based on stakeholder feedback, market research, and alignment with business goals. Provide an example of how a prioritization framework, such as MoSCoW, has helped you make informed decisions in a past project.

Explain the critical importance of gathering and analyzing employee feedback to inform the development of AI solutions. Illustrate your point with examples of how you've previously adapted products based on user insights and the positive impact this had on adoption and satisfaction.

In answering, elaborate on the strategies you’ve implemented to drive adoption, such as comprehensive training programs, continuous support for users, and regular communication about the benefits of the new tools. Share how these efforts help to create a culture of innovation and acceptance.

Provide a specific challenge encountered during an AI implementation, detailing the steps taken to address the issue. Highlight your problem-solving skills, adaptability, and the importance of effective communication with stakeholders to ensure successful project outcomes.

Share a relevant example where you used analytics to identify areas for product improvement, explaining the insights gained and the subsequent changes made. Stress the benefits these improvements brought to the user experience and the overall product efficacy.

In this response, convey your enthusiasm for the role and the company's mission. Explain how your skills and experiences align with the job responsibilities and how you see yourself positively impacting the company, particularly in leveraging AI to enhance employee engagement and analytics.