Senior Data Product Manager

About the Role

Key Responsibilities

• Collaborate with Finance leaders to identify areas where data can help uncover opportunities, drive efficiencies, and enable more real-time decision making.
• Deliver data products and capabilities that address these needs.
• Become a trusted analytic and strategic thought leader within the Finance organization.
• Demonstrate a hands-on, data-as-a-product mindset and develop strategy around effectively using multiple levers in our technology stack (including emerging AI capabilities) to solve business challenges.
• Implement best practices in data quality, governance, and compliance reporting for financial data.
• Lead high-performing technical teams, manage stakeholder expectations, and collaborate cross-functionally to deliver data and analytics solutions that drive value for Zoom's Finance organization.
• Manage large, cross-functional analytics projects with diverse stakeholders and lead prioritization discussions with senior leaders.
• Focus on big-picture strategies that drive long-term growth while translating those strategies into short-term execution plans and roadmaps.
• Overcome roadblocks and provide regular project status updates.
• Train and upskill business users on new solutions and enable self-service analytics for non-technical users within the Finance organization.
• Identify scalable, automatable Finance processes and develop solutions with solid data quality checks to boost operational efficiency as Zoom grows.

Requirements

• Bachelor's degree with 10+ years in Data Engineering, BI, and Data Science, ideally with an MBA or Master's in Data Science.
• Experience in SaaS financial analytics, familiar with tools like Snowflake, Databricks, SQL, Python, and BI platforms.
• Interest in LLM and AI is a plus.
• Familiarity with modern analytics tools such as Snowflake, Databricks, Fivetran, DBT, SQL, Python, R, and visualization platforms like Tableau, Looker, or Power BI.
• Extensive understanding of Finance functions, core processes, and their interaction with adjacent teams, especially in high-growth SaaS environments.
• Experience with financial and sales metrics relevant to subscription-based business models.
• Proven ability to translate business needs into technical requirements and collaborate effectively with developers to build scalable data solutions.
• Excellent communication and cross-functional influence skills across Sales, Finance, and Data teams.
• Experience in enterprise Data Governance and managing large datasets related to customer usage, billing, and financial forecasting.
• Advanced knowledge of data modeling best practices and building scalable data architectures tailored for financial analytics.

Nice to Have

• Interest in applying LLM and AI to analytics challenges.

Qualifications

• Educational background includes a Bachelor's degree, with preference for an MBA or Master's in Data Science.

Benefits & Perks

• Our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health.
• Support work-life balance and contribute to the community in meaningful ways.