Overview
Lead Data Developer & Analytics Experiences within the Analytics Platform & Experiences team, owning a unified, AI-native experience for building data assets, building and operating data agents, and orchestrating data workflows at scale.
What you'll do
- Set direction: develop a long-term vision and strategy for the portfolio, aligning user needs with business objectives and industry trends.
- Champion users: build deep user understanding and empathy through regular engagement, research, and feedback loops to identify pain points and opportunities.
- Manage roadmap: develop and prioritize initiatives across the portfolio, from IDE-centric inner-loop productivity to a centralized semantic layer and conversational analytics, balancing immediate needs with strategic evolution.
- Guide development: partner with design and engineering to define requirements, create intuitive interfaces, and validate solutions that ensure cohesive user journeys across the platform ecosystem.
- Support architecture: partner with engineering on critical architecture decisions that ensure platform sustainability, scalability, and flexibility while strategically managing technical debt.
- Drive adoption: create rollout strategies and promote new capabilities through targeted communication, education, and roadshows, with documentation, learning resources, and self-service tools.
- Drive improvement: define success metrics centered on user delight and productivity gains, and implement tracking to continuously improve platform capabilities through data-informed experiments.
- Establish governance: develop platform standards and processes that balance flexibility with standardization and innovation with stability, including API design guidelines, versioning policies, and deprecation protocols.
- Align stakeholders: build strategic relationships and foster cross-functional collaboration to drive alignment and shared ownership of outcomes.
What you'll need
- 8+ years of Technical Product Management experience (or equivalent technical role) in complex technical domains.
- Comfortable discussing technical design trade-offs and system quality attributes with engineering teams.
- Strong knowledge of modern analytics architectures and data developer tooling, including dbt-based transformation workflows, workflow orchestration and scheduling, and the practitioner stack: IDEs and notebooks (Cursor, JupyterLab, VS Code), Python/SQL developer tooling, interactive compute environments, and data quality/observability frameworks.
- Demonstrated passion for analytics with a pulse on emerging trends; actively seeks new perspectives and regularly uses products and observes customers to identify improvement opportunities.
- Proven track record of managing product portfolios in complex technical domains with clear vision and strategy.
- Deeply understands user needs through continuous engagement; exceptional at identifying and articulating clear problem statements.
- Understands how platform investments drive business outcomes and articulates ROI of technical investments in business terms.
- Deeply analytical, metrics-driven mindset that uses quantitative and qualitative data to inform product decisions.
- Makes timely decisions that provide clear direction and reduce ambiguity, shows conviction while remaining open to new information.
- Outstanding written and verbal communication skills, with ability to influence, inspire and rally teams around a vision.
- Consistent, high-quality delivery with disciplined prioritization and clear accountability.
Details
- Location: USA, remote.
- Compensation range: $440,000.00 - $725,000.00 annual salary, varying by location.
Read the full description and apply on the company’s own careers page.