Senior Manager, People Analytics Generative AI Platform - job 19 of 21

As the Senior Manager, People Analytics at the Generative AI Platform, you'll take on multiple responsibilities including defining and implementing the chatbot and Generative AI strategy, overseeing the product lifecycle, and driving the development of innovative AI solutions aimed at enriching employee experiences. Your role will involve tracking ROI through success metrics and working closely with the People Technology team in an agile environment to ensure efficient product delivery.

For the Senior Manager, People Analytics position at our Generative AI Platform in Austin, we seek candidates with a strong background in Generative AI applications and a solid understanding of agile methodologies. Prior experience in product management, particularly in AI or analytics, is highly desirable. Additionally, strong collaboration and leadership skills are essential for effectively managing cross-functional teams and stakeholders.

In the Senior Manager, People Analytics role, ensuring the successful adoption of AI solutions involves tracking implementation metrics and engaging in change management strategies. You'll support ongoing user training and feedback cycles to enhance the adoption process and create a seamless experience for employees interacting with the new Generative AI functionalities.

The Senior Manager, People Analytics has a critical impact on employee experiences by driving the development of connected and enriched interactions with our data analytics tools. Through innovative Generative AI solutions, you will help simplify the way employees access and understand their data, ultimately fostering a more engaging and supportive workplace.

The work environment for the Senior Manager, People Analytics position is dynamic and collaborative. It's a hybrid setup, allowing for flexibility while also maintaining in-person teamwork in our Austin office. You will be part of an agile team that prioritizes innovation, collaboration, and continuous improvement, making it an exciting place to contribute and grow.

When answering this question, highlight specific projects or initiatives where you've led AI-focused teams. Discuss your approach to collaboration, the tools and frameworks used, and how you ensured successful project outcomes. Providing quantifiable results or impacts from your involvement can enhance your response.

In your answer, detail your strategy for defining success metrics. Discuss how you engage stakeholders to understand their needs, identify relevant KPIs, and measure ROI. Mention how these metrics can guide product development and improve employee interactions with analytics tools.

Share a specific example where user feedback led to a strategic change. Discuss how you gathered feedback, analyzed it, and decided to adjust your team's approach. Highlight the positive outcomes that resulted from this adaptability.

Explain your methods for staying informed about AI advancements. This could include following industry publications, attending relevant conferences, joining online forums, or networking with other professionals in the field. Emphasize the importance of continuous learning and how you apply new insights to your work.

Discuss your approach to task prioritization, which may include using project management tools, setting deadlines, and aligning tasks with broader business objectives. Provide examples of how you've effectively managed time and resources to meet project deadlines without compromising quality.

Address the significance of change management in your implementation strategy. Discuss how you communicate changes, provide training to staff, and gather feedback to ensure smooth transitions. Highlight your ability to foster a supportive culture during these changes.

Outline your approach to aligning team objectives with organizational goals. Stress the importance of clear communication and regular check-ins with both your team and upper management to ensure everyone's targets are synchronized and supportive of the company's mission.

Discuss potential challenges such as managing user expectations, ensuring data privacy, and adapting to technological changes. Provide insights into how you would proactively address these challenges through stakeholder communication and continuous improvement strategies.

Share specific experiences in using JIRA to manage projects, emphasizing how it helped you track progress, organize tasks, and improve team collaboration. If possible, provide measurable outcomes that resulted from your use of JIRA in previous roles.

Convey your strategies for promoting employee engagement, which might include regular training sessions, user-friendly tutorials, and actively seeking feedback to improve tools. Highlight initiatives you have championed that have successfully enhanced user adoption of analytics tools.