Description
At MCG, we lead the healthcare community to deliver patient-focused care. We have a mission-driven team of talented physicians and technical experts developing our evidence-based content and innovating our products to accelerate improvements in healthcare. If you are driven to enhance the US healthcare system, MCG is eager to have you join our team. We cultivate a work environment that nurtures personal and professional growth, and this is a thrilling time to become a part of our organization. With dynamic roles that offer meaningful impact, you'll be able to fully realize your potential. Plus, you'll enjoy world-class benefits and the security, stability, and resources of our parent company, Hearst, with over 100 years of experience.
As Senior Product Manager, Data Platform, you will own product direction for data platform capabilities that make healthcare data usable across payer, provider, and partner environments.
This role focuses on the product foundations behind trusted data use: ingestion, mapping, normalization, validation, permissions, auditability, and delivery.
The Senior Product Manager turns ambiguous healthcare data problems into clear, buildable requirements. They work closely with engineering, data engineering, clinical, security, compliance, product, and customer-facing teams to set priorities, resolve tradeoffs, and keep work grounded in customer workflows where data quality and trust matter.
You Will:
- Define and execute the data product strategy and roadmap aligned with company objectives, customer needs, and data-driven growth opportunities.
- Develop business cases and investment recommendations for new platform capabilities, data services, and strategic enhancements that improve scalability, interoperability, and customer value.
- Lead cross-functional teams to deliver scalable data products and insights solutions.
- Translate business requirements into data product capabilities, prioritizing initiatives that drive measurable business outcomes.
- Partner with engineering and analytics teams to develop, launch, and optimize data platforms, reporting solutions, and advanced analytics products.
- Conduct market research, customer discovery, and competitive analysis to identify emerging data opportunities and inform product investments.
- Define and monitor KPIs for data products, leveraging analytics to measure performance, user adoption, business impact, and continuous improvement opportunities.
- Evaluate new data monetization opportunities, develop business cases, and assess financial impact for data-driven offerings and partnerships.
- Collaborate with Sales, Marketing, Customer Success, and Partner teams to understand customer needs and uncover opportunities for data-enabled solutions.
- Develop data product positioning, value propositions, and go-to-market strategies to drive adoption and revenue growth.
- Partner directly with customers and strategic accounts to gather requirements, validate product-market fit, and identify opportunities for innovation.
- Serve as the voice of the customer and business stakeholder, ensuring data products deliver actionable insights, usability, trust, and measurable value.
- Lead stakeholder presentations, product demonstrations, and roadmap discussions to drive alignment, adoption, and engagement.
- Collaborate with Customer Success, Account Management, and Sales teams to identify expansion opportunities and maximize the value of data products and analytics solutions.
What We’re Looking For:
- Bachelor's degree in business, computer science, information systems, healthcare informatics, public health, data science, engineering, or a related field, or equivalent practical experience.
- At least 5 years of product management experience, including ownership of technical products or platform capabilities.
- Product background in data platforms, data products, interoperability, APIs, analytics, enterprise software, or healthcare technology.
- Healthcare data background in payer, provider, or health technology settings.
- Working knowledge of healthcare data domains such as claims, eligibility, authorizations, encounters, clinical documentation, quality, utilization management, provider, member, or patient data.
- Familiarity with healthcare data exchange methods or standards, including HL7, FHIR, X12, APIs, flat files, EHR extracts, or clinical terminology.
- Ability to write product requirements for data ingestion, mapping, validation, governance, delivery, reporting, or downstream use.
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