Senior Data Product Manager
October 19
Description
• Define and execute a bold data product strategy that aligns with our business goals, using M&A insights and Databricks capabilities to unlock new value. • Lead the end-to-end development of data products, collaborating closely with engineering, data science, and design teams to create solutions that meet market needs. • Design tailored data products for the restaurant industry, focusing on the unique challenges of mergers and acquisitions. • Turn complex data into clear, actionable insights. • Leverage Databricks to optimize data processing and integration, enhancing product performance and scalability. • Deep dive into the needs of restaurant operators, especially in the M&A space, and translate these insights into impactful product features. • Work with data scientists to uncover key trends and patterns, driving predictive analytics and models that provide actionable insights. • Partner with sales, marketing, and customer support teams to ensure successful product adoption and ongoing improvements. • Keep stakeholders informed with clear, compelling updates. • Develop and maintain a product roadmap that balances immediate needs with strategic vision. • Prioritize initiatives that deliver the most value to our partners. • Define success metrics and KPIs, track product performance, and iterate based on user feedback and data-driven insights.
Requirements
• 5+ years in product management with a focus on data-driven products, ideally within startups and the restaurant industry. • Strong expertise in M&A data and Databricks is highly preferred. • Proficient in data analytics, data science, and engineering. • Expert in Databricks, SQL, and M&A data environments, with a knack for turning complex data into user-friendly solutions. • Proven ability to lead cross-functional teams in fast-paced environments. • Skilled in stakeholder management and driving product success. • Passionate about understanding and solving the unique challenges faced by restaurant operators. • Excellent verbal and written communication skills, capable of conveying complex ideas clearly to diverse audiences. • Bachelor’s degree in a relevant field (Computer Science, Data Science, Business). • An advanced degree (MBA, MS) is a plus.
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