Senior Data Product Manager

The primary responsibilities of the Senior Data Product Manager at Lightcast include leading the vision, strategy, and execution of key data products, collaborating with cross-functional teams, analyzing customer feedback, and driving product development based on market requirements. You'll have ownership of the product lifecycle, shaping impactful solutions that connect industry and education.

To be considered for the Senior Data Product Manager position at Lightcast, candidates should have over 5 years of experience in product management, particularly in data or technology-driven products. It’s essential to possess strong communication skills and the ability to build relationships across various departments within the organization.

In the role of Senior Data Product Manager, you'll contribute significantly to Lightcast's mission of enhancing global workforce readiness. You will develop solutions that provide valuable labor market insights, aiding institutions and companies in workforce development and economic prosperity.

As a Senior Data Product Manager at Lightcast, you can expect a supportive and collaborative remote work environment. The company values innovation, teamwork, and hands-on problem-solving, fostering a culture where your contributions are recognized and valued.

Crucial skills for the Senior Data Product Manager position at Lightcast include exceptional communication and presentation skills, technical acumen in data products, flexibility and a hands-on approach to product execution, and the ability to leverage data to inform decision-making and product direction.

When answering this question, share specifics about the product, the challenges faced during its development, and how your strategies led to its success. Highlight your role throughout the lifecycle, including market validation and customer feedback integration.

Discuss your approach to feature prioritization, emphasizes customer needs, market trends, and data insights. Illustrating how you balance immediate user demands with long-term product vision will demonstrate your strategic thinking.

Explain how cross-functional collaboration is vital for gathering diverse insights and fostering creativity. Share examples of how working with engineers, data scientists, and marketing teams contributed to successful outcomes.

Detail your methods for collecting and analyzing customer feedback, and provide examples of how you've utilized that feedback to refine product features or inform future developments. Highlighting a feedback loop can be compelling.

Address potential challenges such as evolving customer needs, data accuracy, or market competition. Discuss how you would mitigate these challenges through strategic planning and agile methodologies.

Provide an example that illustrates your communication skills and ability to build relationships. Reflect on the situation, your approach, and how you achieved buy-in for your vision or strategy.

Discuss key performance indicators relevant to data products, such as user engagement, customer satisfaction, and revenue growth. Share how you've established and tracked these metrics in your previous roles.

Talk about your proactive approach to market research, staying attuned to industry trends, and how you implement feedback loops to adapt products to user needs while maintaining their relevance.

Explain your familiarity with agile principles and how you’ve applied them to prioritize and execute product tasks. Providing a specific instance where Agile led to improved outcomes will illustrate your expertise.

Outline how you utilize analytics tools and data collection methods to inform product features, measure user engagement, and guide resource allocation. Providing a real-world example will lend credibility to your response.