Product Manager II responsible for developing Controlled Substances data and reporting products. Requires deep expertise in regulated healthcare data, advanced SQL/Tableau skills, and active use of AI tools to translate customer, regulatory, and data insights into product requirements and enhancements.
Salary not listed
Remote8+ YOEProduct Management
About the role
Responsibilities
Develop deep expertise in Controlled Substance products, data assets, reporting solutions, customer workflows, and regulatory landscape.
Analyze complex datasets using SQL, Tableau, and other analytical tools to identify trends, customer needs, risks, and product opportunities.
Lead the discovery, prioritization, requirements definition, and delivery of reporting and data product enhancements from concept through adoption.
Partner with customers and customer-facing teams to understand needs, manage expectations, communicate tradeoffs, and distinguish between defects, enhancements, and future opportunities.
Collaborate with Product, Engineering, Analytics, Data Engineering, Architecture, and Customer Success teams to deliver scalable, customer-focused solutions.
Translate customer feedback, business needs, regulatory requirements, and data insights into clear product requirements, user stories, acceptance criteria, and success metrics.
Support roadmap decisions by evaluating customer impact, regulatory requirements, technical feasibility, operational considerations, and business value.
Contribute to data governance, reporting, metadata, and AI-enabled product initiatives that improve customer value and operational efficiency.
Support user acceptance testing (UAT), product documentation, data definitions, and customer-facing enablement materials.
Explore opportunities to enhance workflows through AI or automation tools (e.g., document summarization, task routing, or data parsing).
Identify repetitive tasks and partner with team leads to implement scalable automation solutions.
Requirements
Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Business, Healthcare Administration, Public Health, or a related field; or equivalent professional experience.
8+ years of experience in product management, product analytics, data analysis, or a related discipline, with demonstrated progression in scope and ownership.
Advanced proficiency in SQL, including the ability to independently query and analyze large, complex datasets.
Proficiency with Tableau, including dashboard development, data visualization, and analytical storytelling.
Experience translating business needs and data insights into product recommendations, requirements, and technical solutions.
Experience working in a highly regulated industry such as healthcare, government, insurance, or financial services.
Experience working with healthcare, pharmacy, public health, claims, or controlled substance data.
Experience working with data governance frameworks, metadata management, data quality programs, reporting standards, or enterprise analytics initiatives.
Familiarity with Agile product development methodologies and tools such as Jira and Confluence.
Familiarity with healthcare interoperability standards, healthcare regulations, or state government technology programs.
Experience using Python or other analytical tools.
Excellent written and verbal communication skills, including the ability to communicate effectively with technical and non-technical stakeholders.
Strong analytical and problem-solving skills, with sound judgment and creativity in designing solutions.
A forward-thinking, curious mindset with an openness to experimenting with new technologies.
Demonstrated ability to rapidly master a complex, highly regulated domain and establish credibility as a subject matter expert with customers and internal stakeholders.
Active, demonstrated use of AI-supported tools (e.g., ChatGPT, Claude, Copilot, or similar) to meaningfully accelerate product work — including research, drafting, analysis, and documentation.
Proven ability to thrive in fast-paced, high-growth, and rapidly evolving environments.
Ability to work effectively in a remote-first environment, ensuring high-quality virtual interactions with minimal distractions.
The ability to travel periodically for work.
Nice-to-Haves
Experience with healthcare interoperability standards, healthcare regulations, or state government technology programs.
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