Senior Program Manager, Data & Analytics

The Senior Program Manager, Data & Analytics at Keeper Security is responsible for optimizing data infrastructure and leading analytics initiatives. This includes collaborating with stakeholders across the organization, maintaining data reliability and performance, and implementing data solutions that align with business objectives. Additionally, the role involves developing key performance indicators and actionable reports, as well as providing data-driven insights to senior leadership.

Candidates applying for the Senior Program Manager, Data & Analytics role at Keeper Security should have at least 6 years of relevant experience in program management, business analysis, or similar roles. A Bachelor's degree in Business Administration, Economics, Statistics, Computer Science, or related field is required, while a Master's degree is preferred. Furthermore, proficiency in data management tools like AWS, SQL, and Tableau is essential.

The Senior Program Manager, Data & Analytics plays a crucial role in business strategy by analyzing data and providing insights that support decision-making. By evaluating business performance and driving initiatives based on data-driven results, this position supports the overall growth and efficiency of Keeper Security, making it integral to the company's success.

Valuable experience for the Senior Program Manager, Data & Analytics role at Keeper Security includes a background in business operations, reporting, data warehousing, and analytics. Familiarity with managing complex, multi-stakeholder processes and a proven ability to build cross-functional relationships are also beneficial. A passion for data and a strategic mindset to drive results are key attributes of successful candidates.

Yes, the Senior Program Manager, Data & Analytics position at Keeper Security can be performed remotely from select locations. Additionally, there is an option for a hybrid schedule for candidates located in the El Dorado Hills, CA or Chicago, IL metro areas, making it a flexible opportunity for the right candidate.

When answering this question, highlight specific data management tools you have worked with, such as AWS, SQL, or Tableau. Give examples of projects where you used these tools to optimize data processes or generate insights that influenced business decisions. Employers want to see how you've applied technical skills in real-world scenarios.

Discuss your process for identifying relevant KPIs that align with business objectives. Explain how you collaborate with stakeholders to understand business goals and how you ensure that the KPIs are measurable and actionable. Providing a specific example of KPIs you've developed in the past can strengthen your answer.

Use the STAR (Situation, Task, Action, Result) method to answer this question. Describe a specific scenario where your analysis uncovered insights that led to a critical decision. Emphasize the tools used, the data evaluated, and the outcome of implementing your recommendation.

Discuss your approach to communication, such as setting regular check-ins, using collaboration tools, or maintaining transparency about project progress. Highlight the importance of adapting your communication style to suit different audiences, ensuring that all stakeholders are aligned and informed.

Outline your methods for prioritization, such as evaluating the potential impact on business objectives, resource availability, and timelines. Mention any tools or frameworks you use to manage your workload effectively. Demonstrating your ability to stay organized and focused under pressure is key.

Share a concise story of a specific tool you implemented, the problem it addressed, and the steps you took to roll it out. Explain the impact it had on team efficiency or insights gained, and how you trained your team to use the new tool effectively.

Important qualities include strong analytical skills, excellent communication, strategic thinking, and the ability to build relationships across departments. Emphasize the significance of being a proactive problem-solver and having a passion for data-driven insights to improve business performance.

Talk about the processes and checks you employ to verify data accuracy, such as routine audits, validation methods, or collaboration with data engineering teams. Stress the importance of establishing a culture of data integrity within the organization.

Explain your approach to identifying the root cause, addressing the issue, and escalating it to relevant stakeholders. Highlight your problem-solving mindset and how you would ensure minimal disruption while implementing a solution.

Share your preferred methods for staying informed, such as attending industry conferences, subscribing to relevant publications, engaging with professional networks, and participating in online courses or webinars. Highlight your eagerness to continuously learn and apply new knowledge in your role.