Data Product Owner - #1727

As a Data Product Owner at MeridianLink, your primary responsibility is to maximize the value of our data products by identifying and prioritizing features that meet strategic business objectives. You'll need to represent product backlog items effectively, engage in scrum processes, and facilitate collaboration between technical and business teams. Additionally, you'll create and communicate business requirements and user stories to ensure clarity in business needs.

The ideal candidate for the Data Product Owner role at MeridianLink should possess a bachelor’s degree and 2-4 years of relevant professional experience within the financial services or software industry. Familiarity with data strategy, data management, data governance, and data science concepts is essential. Being organized and capable of managing multiple projects simultaneously are also key attributes for this role.

At MeridianLink, we place a strong emphasis on employee development. As a Data Product Owner, you’ll have access to various training opportunities and initiatives that foster your professional growth. We prefer to promote from within, encouraging you to take on new challenges and expand your skill set in a supportive environment.

The salary range for the Data Product Owner position at MeridianLink is between $104,000 and $146,800. Our offers are typically not made at the top of this range, as actual salaries are determined based on experience and other job-related factors, including geographical location.

MeridianLink offers a comprehensive benefits package for the Data Product Owner role, which includes insurance coverage (medical, dental, vision, life, and disability), flexible paid time off, paid holidays, and a 401(k) plan with company match. Additionally, there is potential for equity-based awards and the flexibility to work remotely.

When discussing your experience in managing a product backlog, highlight specific methodologies you've used, such as agile or scrum. Provide examples of how you prioritized features based on business value and stakeholder input, emphasizing your ability to communicate clearly with both technical teams and stakeholders.

You can answer this by detailing your process for gathering requirements, including how you engage with stakeholders to understand their needs. Talk about your skills in translating these requirements into user stories and acceptance criteria, which guide the development team effectively.

Effective communication is key! Emphasize your proactive approach to fostering dialogue through regular meetings, updates, and collaborative tools. You might also mention your experience in creating documentation that captures technical details while remaining accessible to non-technical stakeholders.

Use the STAR method here—Situation, Task, Action, Result—to outline a specific project. Focus on your role, the challenges faced, and how your decisions led to positive outcomes. Highlight the tangible benefits the feature brought to the users or the organization.

Discuss your commitment to lifelong learning, mentioning specific resources like industry publications, webinars, or networking events. Highlight how this knowledge influences your decision-making as a Data Product Owner and aligns with the objectives of MeridianLink.

Share your thoughts on the importance of communication and prioritization skills. Mention how the ability to understand stakeholder needs and effectively relay those to the development team is vital in driving product success, especially in a data-centric environment.

Explain your method for assessing priorities based on business impact and urgency. Talk about your approach to facilitation and negotiation, ensuring that all parties feel heard while guiding the conversation toward the best outcomes for the product and the organization.

Share your familiarity with project management tools that enhance collaboration and efficiency, such as Jira or Trello. Discuss how these tools assist you in tracking progress, managing sprints, and maintaining clear communication within the team, which is essential as a Data Product Owner.

Describe the metrics and KPIs you would establish to assess the impact of data features on user satisfaction and business objectives. Explain your approach to using analytics and feedback to iterate and improve the product continuously.

Express your enthusiasm for MeridianLink's culture and commitment to employee growth and innovation. Connect your values and career aspirations to the mission of the company, illustrating how you would contribute positively while seizing opportunities to develop professionally.