Lead the Consumer Health data team across all Consumer Products, owning the end-to-end data stack from ingestion to GenAI-powered insights and visualization. With a startup mindset optimize and design architectures that eliminate bottlenecks, enable multi-product flexibility, and integrate seamlessly with enterprise platforms. Drive innovation through hands-on execution, building a robust foundation for data mesh, lakehouses, and AI-driven automation to support future growth in health tech, emphasizing agnostic, AI-augmented, decentralized architectures.
Key Responsibilities
Team Leadership & Strategy
Optimize the existing Data Architecture & build integration roadmaps with external platforms, ensuring data interoperability, governance, and compliance.
Champion the data guild to foster cross-functional collaboration, standardize practices, and promote knowledge sharing for product lines.
Data Ingestion & Storage
Own existing repositories, real-time CDC pipelines, and multi-tiered storage for high-performance data handling.
Optimize ingestion processes, manage schema evolution, and implement solutions directly to boost efficiency.
Data Orchestration & Modeling
Optimize BigQuery infrastructure and orchestrate complex pipelines using Airflow.
Create flexible data models with debt to power analytics, business intelligence, and AI applications.
Performance & Quality
Monitor and tune infrastructure, including BigQuery queries and ETL workflows, for peak performance.
Enforce data quality, governance, and automated compliance to maintain reliability at scale.
Visualization & Access
Integrate BigQuery datasets with Tableau/Looker for intuitive self-service analytics.
Build APIs and semantic layers to streamline data access and consumption
Technical Leadership & Hands-On Execution
Collaborate with data scientists, analysts, and stakeholders to translate needs into actionable solutions.
Code across the stack (Python, SQL, IaC) to build POCs, troubleshoot issues, and deliver end-to-end features with agility.
AI Integration & Future-Proofing
Prototype natural language query systems and semantic layers for LLM-driven reporting and insights.
Prepare the platform for AI advancements, ensuring adaptability and cutting-edge capabilities.
Qualifications
Required
8+ years of hands-on experience across the full data stack (ingestion, orchestration, visualization).
3+ years leading data engineering teams, with a track record in cross-functional initiatives and community building.
Startup experience or mindset: Proven ability to own and deliver complete solutions independently.
Active coder proficient in Python, SQL, CDC tools, and infrastructure.
Expertise in BigQuery, Airflow, and dbt for production-scale environments.
Strong data modeling, performance optimization, and integration with Tableau/Looker.
Hands-on implementation of data quality and governance frameworks.
Excellent collaboration and I'm mentorship skills with diverse stakeholders.
History of building data pipelines from the ground up.
GCP proficiency, including BigQuery, Airflow, and Cloud Composer.
Preferred
Experience integrating large-scale platforms and collaborating across teams.
Track record of 0-to-1 data product development with resource constraints.
What We're Looking For
A visionary technical leader ready to own the data journey for Consumer Health Products—from raw ingestion to AI insights with ownership mindset. If you're passionate about crafting world-class platforms, leading high-impact teams, cultivating data culture, and scaling for enterprise integration, join us to revolutionize health tech with speed and innovation.
