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Digital Product Manager - Financial & Billing Data

$115k - $125k

Quest Diagnostics

Job Description The primary responsibility of this position is to define, own, and execute the data product lifecycle for the Financial and Billing data domains. The successful candidate will act as a key individual contributor translating complex financial, accounting, and billing requirements into scalable, high-quality enterprise data products, establishing robust data contracts, ensuring regulatory compliance, and driving cross-functional alignment. Please note this is a hybrid opportunity (3 days in office & 2 days WFH). The position is based in Secaucus, NJ. Pay Range:$115,000 - $125,000 / year Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. Successful candidates may be eligible to receive annual performance bonus compensation. Benefits Information We are proud to offer best-in-class benefits and programs to support employees and their families in living healthy, happy lives. Our pay and benefit plans have been designed to promote employee health in all respects – physical, financial, and developmental. Depending on whether it is a part‑time or full‑time position, some of the benefits offered may include: Day 1 Medical, supplemental health, dental & vision for FT employees who work 30+ hours Best-in-class well‑being programs Annual, no-cost health assessment program Blueprint for Wellness® healthyMINDS mental health program Vacation and Health/Flex Time 6 Holidays plus 1 'MyDay' off FinFit financial coaching and services 401(k) pre‑tax and/or Roth IRA with company match up to 5% after 12 months of service Employee stock purchase plan Life and disability insurance, plus buy‑up option Flexible Spending Accounts Annual incentive plans Matching gifts program Education assistance through MyQuest for Education Career advancement opportunities and so much more! Responsibilities Data Product Ownership, Roadmap & Data Contracts: Own the end‑to‑end data product lifecycle for Financial and Billing data domains, translating business needs into a prioritized product backlog, detailed user stories, and clear data definitions. Take full responsibility for building, defining, and owning the data contracts for all data products in this portfolio, and ensuring that delivered data products continuously meet the schema, operational, quality, and SLA expectations defined within those contracts. Stakeholder Collaboration & Requirement Shaping: Partner closely with Finance, Billing Operations, Revenue Cycle Management (RCM), and Accounting stakeholders to understand business requirements, pain points, and reporting needs, translating them into the explicit service‑level expectations that form the basis of domain data contracts. Cross‑Functional Execution: Collaborate daily with Data Engineers, Architects, and Business Intelligence (BI) teams to design, develop, and deliver robust financial data pipelines, data models, and analytical products, validating that technical implementation satisfies all data contract specifications and metrics. Financial Compliance & Integrity: Ensure all financial data products conform to external regulatory frameworks (including SOX, GAAP, and HIPAA) as well as internal security, privacy, and Quest enterprise data standards. Data Quality & Governance: Define, monitor, and enforce data quality rules, validation logic, and reconciliation metrics specifically tailored for billing transactions and financial reporting, embedding these parameters directly into data contract enforcement mechanisms. Data Mesh Integration: Implement and support Domain‑Driven Data Mesh principles for the Financial and Billing domains, acting as the primary Domain SME to publish standardized, high‑integrity 'data products as a service' that adhere to established data contracts. Documentation & Lineage: Author and maintain comprehensive data product documentation, including data dictionaries, data lineage maps, schema definitions, and release notes to support self‑service analytics and transparent data contract compliance. Technical Influence: Act as an individual contributor championing data‑driven decision‑making, visual data storytelling, and modern data practices across finance and billing organizations without direct authority. Process & Tool Adoption: Support the deployment of financial data tools, providing training, onboarding, and analytical guidance to end‑users and business data stewards. Education Bachelor’s Degree or equivalent work experience required Required Work Experience Experience: 5–7 years of relevant business, analytics, or product management experience. Domain Expertise: Demonstrated experience managing or analyzing financial data, billing systems, revenue cycle processes, or ERP integrations. Data Competency: Solid background in SQL, data profiling, data modeling concepts, and modern data visualization tools (specifically Looker or equivalent enterprise analytics tools). Cross‑functional Collaboration: Proven track record of working across organizational boundaries to drive consensus, align priorities, and execute technical roadmaps. Influence without Authority: Excellent communication and relationship‑building skills to successfully guide engineering teams and align business stakeholders. Industry Context: General understanding of the diagnostics, healthcare, or life sciences industry and its complex billing workflows. Preferred Work Experience Agile Frameworks: Experience acting as a Product Owner in Agile/Scrum environments. Advanced Platforms: Hands‑on familiarity with the Google Cloud Platform (GCP) ecosystem (specifically BigQuery and Looker) and Data Mesh architectural concepts (specifically data contracts and federated governance in a cloud environment). System Migration: Experience with billing or ERP system migrations and the associated data mapping/reconciliation requirements. Physical and Mental Requirements Ability to work independently with minimal supervision. Strong analytical, logical, and detail‑oriented problem‑solving skills. Ability to multi‑task, prioritize complex workloads, and adapt to shifting priorities. Strong written and verbal communication skills for presenting technical concepts to non‑technical audiences. Ability to sit or stand for long periods at a computer. Knowledge SQL & Data Profiling (especially within GCP BigQuery) GCP Cloud Data Ecosystem (BigQuery, Looker, Analytics Hub, Dataplex, or equivalent GCP data governance tools) Financial Data Standards (SOX, GAAP, billing cycle phases) Data Contracts (design, implementation, SLA enforcement, and monitoring) Master Data Management (MDM) concepts Data Governance, Metadata Management, and Data Quality frameworks HIPAA and healthcare compliance standards Skills Agile Product Ownership / Backlog Management Data Contract Management & SLA Definition Requirements Elicitation & Documentation Strategic and Analytical Thinking Stakeholder Management & Conflict Resolution Data Literacy & Business Translation Drive for Results / Focus on Business Value Presentation & Visual Storytelling Licenses and Certifications Preferred Agile Product Owner certification (e.g., CSPO, POPM); Lean Six Sigma certification. 62520 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. #J-18808-Ljbffr Quest Diagnostics

Vacancy posted 2 days ago
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