Senior Manager, People Analytics Generative AI Platform - job 17 of 21

As the Senior Manager for the People Analytics Generative AI Platform at [Company Name], your main responsibilities will include defining and managing the implementation of the Generative AI strategy, driving the development of chatbots and solutions that enhance employee experiences, and overseeing the entire product lifecycle from inception to ongoing maintenance. You'll also be tasked with defining key success metrics to demonstrate ROI and supporting change management initiatives.

To qualify for the Senior Manager position at [Company Name], candidates should have extensive experience with Generative AI applications, strong project management skills, and proficiency in agile methodologies, particularly using JIRA tools. Additionally, a background in data analytics, communication, and team leadership is crucial for effectively driving cross-functional initiatives and product delivery.

The Senior Manager plays a critical role in enhancing the employee experience at [Company Name] by creating connected and enriched interactions between employees and People analytics. By implementing Generative AI solutions and simplifying data interactions, this role ensures that employees have a more streamlined and meaningful engagement with their data, leading to better insights and satisfaction.

In the role of Senior Manager for the People Analytics Generative AI Platform, you will primarily utilize JIRA for tracking progress and managing project tasks within an agile framework. You will also work with various AI and machine learning tools to develop and maintain innovative solutions that enhance employee experiences.

The work environment for the Senior Manager, People Analytics Generative AI Platform at [Company Name] is hybrid, offering a blend of in-office collaboration and remote work flexibility. You'll be part of a fast-paced and innovative team focused on making a significant impact through Generative AI initiatives within the People Team.

When responding, highlight specific projects you've led that involved Generative AI applications. Discuss any relevant tools or technologies you've used and the impact those projects had on employee engagement or analytics.

Emphasize your ability to gather insights from stakeholders, analyze business needs, and use a scoring system to prioritize features. Share examples of how you've successfully balanced competing priorities in previous roles.

Discuss key performance indicators such as user adoption rates, employee satisfaction scores, and efficiency improvements. Explain how you would track these metrics over time to assess the success of the AI initiatives.

Outline your approach to change management, focusing on communication, stakeholder engagement, and training. Provide examples of how you've successfully navigated resistance in past projects.

Share your familiarity with agile principles and how you've applied them in a previous role. Discuss specific processes like sprint planning and retrospectives that you've utilized to drive project success.

Mention resources you regularly consult, such as industry blogs, webinars, or professional networks. Highlight any relevant certifications or training you've pursued to enhance your skills in this area.

Discuss your communication strategies, including regular meetings and collaborative tools. Give an example of a successful cross-functional project and how teamwork contributed to its success.

Explain your approach to gathering user feedback through surveys, interviews, and testing phases. Discuss how this feedback informs improvements and ensures the product meets user needs.

Define success based on user adoption, positive feedback, ROI, and alignment with company goals. Provide an example of how you've assessed success for a previous project and the outcomes achieved.

Discuss potential challenges such as data privacy concerns, technology integration, and change management. Share how you plan to address these challenges proactively.