Senior Manager, Platform Product

Quest Diagnostics Inc
  • Clifton, NJ
    2 days ago

    Job Description

    Senior Manager, Platform Product at Quest Diagnostics

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    Senior Manager, Platform Product

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    Category Technology Location Clifton, New Jersey Job function Information Technology Job family Technical Product Management

    Shift Day Employee type Regular Full-Time Work mode Remote

    Job Description

    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.

    Responsibilities:

    Core Platform & Technical Strategy:

    • 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.

    Data Engineering, Streaming & Observability:

    • 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.

    Advanced Analytics & GenAI Readiness:

    • 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).

    Governance & Operations:

    • Partner with engineering and data teams to define, standardize, and promote automated CI/CD and DataOps/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.

    Qualifications:

    Required Work Experience:

    • 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 highly technical role directly writing queries, modeling data, and testing pipelines.
    • Proven experience managing platform products through the software development lifecycle, including writing technical specifications, system architecture design, API definitions, and agile backlog management.

    Preferred Work Experience:

    • Deep experience with healthcare data standards and interoperability protocols (HL7 v2/v3, FHIR, DICOM).
    • Experience building or managing decentralized data architectures (Data Mesh) and defining data products.
    • Strong working knowledge of modern data stack orchestration and transformation tools (e.g., dbt, Apache Airflow, Prefect).
    • Experience with Infrastructure as Code (IaC) principles (e.g., Terraform) and cloud financial management (FinOps) for data warehousing cost optimization.
    • Demonstrated experience presenting complex engineering blueprints and system designs to senior leadership and non-technical stakeholders.

    Technical/Job Specific Knowledge:

    • Cloud & Data Warehousing: Deep expertise with cloud-based data platforms (AWS, GCP) and modern enterprise data warehousing/lakehouses (Snowflake, BigQuery, Databricks), including knowledge of cluster tuning and cost controls.
    • Streaming & Message Queuing: Familiarity with event-driven architectures, streaming platforms (Apache Kafka, Flink), and schema registries.
    • Data Engineering & Ops: Strong understanding of distributed computing, CI/CD pipelines, automated testing of data pipelines, and DataOps/MLOps concepts.
    • AI & Graph Tech: Conceptual and practical understanding of Vector Databases (Pinecone, pgvector), Graph Databases (Neo4j), Knowledge Graphs, and LLM orchestration frameworks (e.g., LangChain, LlamaIndex) for semantic search and RAG.
    • Product Tooling: Deep familiarity with technical product management tools (Jira, Confluence, Git, GitHub).

    Skills:

    • Advanced SQL Proficiency: Mastery of complex SQL queries (window functions, CTEs, query optimization) for independent data profiling, troubleshooting, and ad-hoc analysis.
    • Programming/Scripting: Proficiency in Python or Scala for basic scripting, data manipulation (Pandas, PySpark), and REST API interaction.
    • Schema Definition: Ability to write, read, and version schema definition files (Avro, JSON Schema, Protobuf).
    • Technical Translation: Proven ability to translate complex engineering constraints, database schemas, and architectural bottlenecks to business teams and vice-versa.

    Required Education:

    Bachelor's degree in Computer Science, Data Engineering, Information Systems, Mathematics, or related highly technical field.

    Preferred Education:

    Data Engineering, or a related field.

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    Quest Diagnostics honors our service members and encourages veterans to apply.

    While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume.

    Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

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    What it's like to work here

    • Culture Our people contribute to fostering an inspiring and supportive workplace where we empower better health for our customers every day. Through our 11 Employee Business Networks (EBNs) employees can grow, connect, and contribute with professional development, mentorship, EBN program offerings, and community engagement. Each of our Quest Employee Business Networks is open to all employees. View more

    • Benefits We strive to ensure our people live a healthier lifestyle by offering programs and solutions that help you take care of yourself and those you love. Find out how our benefits give you everything you need to live your best life. View more

    • Corporate Social Responsibility Report We''re committed to promoting a healthier world, creating an inspiring workplace, and building value for all stakeholders. Discover how we''re making this happen in our annual reports. View more

    • Job Seeker Resources | Quest Diagnostics No matter where you are in your journey with us, you''re probably curious about our hiring process. With that in mind, check out some of the most frequently asked questions we get from candidates below. View more

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    • Innovations and Insights | Quest Diagnostics We're a customer-first organization dedicated to creating a healthier world. We offer an environment that encourages curiosity. Ready to collaborate with us? Explore the areas below or search all open jobs to discover your next meaningful and challenging role. View more

    • Students & early career | Quest Diagnostics Whether you are transitioning from high school, college or to civilian life after serving in the military, we have programs that can help you reach your goals - and share in the incredible work we do. At the same time, you'll be able to enjoy the satisfaction that comes with joining a network of 50,000 brilliant minds united by a shared passion to build a healthier future. View more

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    Equal employment opportunity

    Quest Diagnostics is an equal employment opportunity employer. Our policy is to recruit, hire and promote qualified individuals without regard to race, color, religion, sex, age, national origin, disability, veteran status, sexual orientation, gender identity, or any any other legally protected status . Quest Diagnostics observes minimum age requirements established by federal, state and/or local laws, and will ask an applicant for verification when deemed necessary.

    Quest Diagnostics is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please complete the accommodation request form.

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    LocationClifton, NJ

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