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Role You'll Play Manager, Business Intelligence (Product & Data Products)As Manager, Business Intelligence, you will lead how Playlist transforms complex product data into trusted, scalable insights—powering both internal decision-making and customer-facing analytics products. You’ll partner closely with Product, Product Analytics, and Engineering to define, build, and operationalize high-quality data models that support a highly customizable product ecosystem.Our stack: Snowflake + dbt Cloud powering Looker and Sigma Computing across internal and external analytics.This role sits at the intersection of product analytics, data modeling, and data product development. You’ll own internal product data foundations, enable fast and reliable insight generation, and lead the data layer powering both our external Analytics 2.0 product and internal AI-driven capabilities. You’ll manage and grow a small, high-impact team (2 direct reports with near-term hiring), setting a high bar for data quality, scalability, and business impact. Own Product Data Foundations- Lead the development and maintenance of scalable, high-quality data models that represent our complex, customizable product ecosystem
- Transform raw, fragmented product data into clean, reliable datasets used across internal analytics and external products
- Establish and enforce best practices for data modeling, testing, and governance across product datasets
- Work closely with Product Analytics to enable fast, accurate, and actionable insights on product performance, user behavior, and feature adoption
- Align on metric definitions, instrumentation needs, and data availability to ensure consistent and trusted reporting
- Support rapid iteration by balancing data quality with speed-to-insight
- Own the data layer powering Analytics 2.0, ensuring datasets are accurate, performant, and intuitive for customer consumption
- Design and maintain customer-facing data models that balance flexibility with ease of use across a highly configurable product
- Partner with Product and Engineering to evolve Analytics 2.0 capabilities and expand reporting functionality
- Maintain a high bar for data quality, consistency, and trust in all external-facing datasets
- Partner with Product, Engineering, and Data teams to support the development of internal AI use cases (e.g., LLM-powered insights, automation, and decision support tools)
- Define and prepare high-quality, well-structured datasets that can be leveraged for AI/ML applications, including prompt-ready and feature-ready data
- Ensure data powering AI use cases is accurate, consistent, and aligned with business logic and product definitions
- Identify opportunities to leverage AI to improve internal analytics workflows, speed to insight, and data accessibility
- Help establish best practices for how BI contributes to AI development, including data preparation, validation, and ongoing monitoring
- Lead deep-dive analyses on product performance and key business drivers, translating findings into clear recommendations
- Support product and leadership teams with data-informed decision-making and roadmap prioritization
- Collaborate with Data Platform and Engineering to improve data pipelines, automation, and overall system reliability
- Continuously improve workflows to support a growing data ecosystem and increasing product complexity
- Manage, mentor, and develop a team of BI analysts, fostering strong ownership and technical excellence
- Hire and onboard additional team members to support expanding scope
- Create a clear operating rhythm, prioritization framework, and high-quality execution standards
- 7+ years of experience in business intelligence, analytics, or data-focused roles in a high-growth or product-driven environment
- 3+ years of experience managing or mentoring analysts, with a track record of building high-performing teams
- Strong experience partnering with Product and/or Product Analytics teams, including deep understanding of product metrics, event data, and user behavior analysis
- Deep expertise in SQL and data modeling, including designing datasets for both internal analytics and external-facing use cases
- Experience working with complex, raw datasets and transforming them into scalable, reliable data models
- Experience supporting or building data products (e.g., customer-facing analytics, embedded reporting, APIs)
- Familiarity with AI/ML data workflows or strong interest in supporting AI-driven product development
- Strong understanding of data quality, governance, and testing best practices
- Hands-on experience with modern data stacks, including Snowflake, dbt Cloud, and BI tools such as Looker and Sigma Computing
- Ability to balance speed and precision in a fast-moving environment with ambiguous requirements
- Excellent communication skills, with the ability to translate complex data into clear insights for both technical and non-technical stakeholders
It is Playlist's intent to pay all Team Members competitive wages and salaries that are motivational, fair and equitable. The goal of Playlist's compensation program is to be transparent, attract potential employees, meet the needs of all current employees, and encourage Team Members to stay with our organization. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location.The base salary range for this position in the United States is $131,475 to $175,300. The total compensation package for this position may also include a performance bonus, benefits and/or other applicable incentive compensation plans.
Have we piqued your curiosity?Sound like the role for you? We’d love to hear from you! Even if you’re not 100% sure about potential fit, we still encourage you to apply. We’re looking for the right person, not the perfect series of checkboxes.
The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics.
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Note: This description outlines key responsibilities but isn’t intended to cover every task or duty. Additional responsibilities may be assigned as needed to support the team and business goals.