Senior Manager, Platform Product; Remote

The Healthcare Analytics Solutions (HAS) Data Platform Product Manager is a highly technical role responsible for collaborating across the organization to define the enterprise-grade HAS data platform roadmap, architecture, and federated governance framework to support business and revenue objectives. The data platform incorporates high-volume diagnostic data generated by Quest operations as well as clinical data from external sources. The Platform Manager will drive technical strategy, architectural decisions, and API-first design patterns to ensure that data is ingested, standardized, and modeled in a way that enables real-time stream processing, complex semantic modeling, and advanced GenAI-driven analytics for internal and customer-facing solutions.

This role will work closely with Data Engineering, Solution Delivery, Innovation & Architecture, and Quest Technology (IT) to build robust, secure, cost-optimized, and compliant data pipelines, semantic layers, and generative AI features.

• Partner with HAS business units, Data Engineering, and Quest IT to define, architect, and manage the data platform strategy, data contracts, and technical roadmap.
• Drive detailed technical requirements for data architecture, dimensional/relational data modeling, and automated integration pipelines (ETL/ELT and streaming) to support the HAS product portfolio.
• Establish and monitor platform performance metrics, including SLAs, SLOs, and SLIs for data freshness, pipeline latency, and platform uptime.
• Serve as the primary technical liaison between business needs and IT engineering, translating complex business objectives into rigorous technical specifications, API definitions, and database schemas.

• Define and enforce Data Contracts guarantee schema stability and prevent upstream changes from disrupting downstream products.
• Drive specifications for automated, low-latency ingestion pipelines, evaluating performance and partition strategies across both batch processes and real-time streaming architectures (e.g., Apache Kafka, AWS Kinesis).
• Design and implement automated Data Observability frameworks (e.g., using Great Expectations, Monte Carlo, or Soda) to monitor data quality, schema drift, and lineage in production.
• Perform hands‑on data profiling, complex SQL querying, query optimization, and exploratory data analysis (EDA) to validate platform datasets and troubleshoot integration issues.

• Be familiar with and able to review technical requirements, schema designs, and data models for a semantic information layer, optimized for agentic workflows, vector databases, and knowledge graphs (RAG pipelines).
• Collaborate with Advanced Analytics and Architecture teams to design the HAS semantic data layer to reduce dependency risks for complex product integrations.
• Partner with Business Product teams and Data Scientists to incorporate complex semi‑structured and unstructured healthcare data types (e.g., EMR notes, pathology reports, molecular diagnostics).

• Partner with engineering and data teamsto define, standardize, and promote automated CI/CD and Data Ops/MLOps processes that accelerate and secure the data product lifecycle.
• Ensure platform compliance with HIPAA, PHI handling, and data privacy security controls through robust column‑level encryption, masking, role‑based access control (RBAC), and automated access governance.

• 5+ years of technical product management experience in data platforms, data engineering, or advanced analytics technology.
• 3+ years of hands‑on experience as a Data Analyst, Data Engineer, or in a…