[Hiring] Pharmacy Product Manager @KMM Technologies

Role Description

Principal Data Product Manager in the PBM space with deep understanding of data platform mechanics, successfully managing the full lifecycle from raw data processing to end-user consumption.

• Experienced leader with a deep, non-negotiable background in the PBM (Pharmacy Benefit Manager) industry, requiring direct data domain expertise.
• Own the end-to-end lifecycle of enterprise data products - from setting the vision and strategy to defining roadmaps and managing delivery.
• Exceptionally strong in data integration, transformation, standardization, and working with complex enterprise data platforms.
• Proven track record of defining and executing complex integration roadmaps to bring disparate data systems together effectively.
• Strong expertise in data integration, data transformation, data standardization, and enterprise data platforms such as Snowflake, Databricks, and AWS analytics architectures (e.g., Redshift, AWS Glue) managing complex healthcare datasets (including FHIR, HL7, and NCPDP/EDI standards).
• Data product initiatives within the Pharmacy Benefit Management (PBM) space focus on transforming raw medical and prescription claims into actionable, real-time products to counter rising drug costs, push for transparency, and enhance the patient experience.
• Driven by advanced AI, predictive analytics, and modernized cloud architectures, these initiatives are reshaping how employers, payers, and pharmacies manage medication utilization.

Qualifications

• Bachelor's Degree in business administration, finance, computer science, data science, engineering, information science, related fields, or equivalent work experience.
• 10 years Experience in Data Product Management.
• Ability to motivate and influence others so that project objectives are met in a timely manner.
• Ability to collaborate with stakeholders to develop high quality solutions.
• Ability to coach, delegate, and develop architects and engineers.
• Ability to manage cross-domain architecture solutions and issues.
• Expertise with domain related architecture frameworks, methods and tools.
• Effective organizational, interpersonal/relationship management, analytical, communications (written and verbal) and collaboration skills.

Requirements

• Minimum of 10 years of experience leading data product initiatives within the PBM space, with a deep understanding of PBM operations, data ecosystems, business processes, and integration challenges.
• Strong expertise in data integration, data transformation, data standardization, and enterprise data platforms.
• Proven ability to define and execute complex integration roadmaps.
• Exceptional communication skills with the ability to engage effectively at every level of the organization—from CEO and executive leadership teams to architects, engineers, and operational stakeholders.
• Healthcare Claims/Regulatory Compliance.

Essential Functions

• Product Strategy: Develop and maintain the Data Product Vision, Strategy, and Roadmap with input from various stakeholders. Define success metrics and strategic priorities, partner on enhancement requests, and prioritize them. Work with customers and internal stakeholders to understand and translate their needs into data platform requirements.
• Product Discovery: Utilize enterprise information assets and analytics for decision-making and regulatory reporting. Lead the development of data and analytics products with Data Directors and Data Product Managers. Oversee deploying the enterprise's data and analytics platform, ensuring quality, traceability, timeliness, usability, and cost-effectiveness.
• Product Lifecycle Management: Collaborate with Data Directors, Data Product Managers, and SMEs to finalize data requirements. Work with the engineering team through planning, iteration.
• Team Leadership: Lead cross-functional teams to achieve departmental, divisional, and enterprise goals.
• Market Research & Competitive Intelligence: Promote data capabilities internally and externally. Assess competitors' data offerings and identify market opportunities. Assist with customer communications and scan for emerging data management strategies, tools, and technologies.