Note: The job is a remote job and is open to candidates in USA. Arcadia builds healthcare data and analytics products for providers and payers. The Technical Product Manager, Life Sciences owns product strategy and roadmap for a platform portfolio, partnering closely with engineering to translate customer and business needs into technical requirements, deliver product increments, and guide data-informed prioritization.
Responsibilities
- Own product strategy and roadmap for a defined portfolio within Arcadia's platform, partnering day-to-day with an embedded engineering teams through the full SDLC
- Translate business goals, customer needs, and technical realities into clear requirements, acceptance criteria, and well-scoped increments engineering can execute against
- Engage deeply with engineering on data pipeline, data models, and enrichment asking the right technical questions and making informed calls when priorities conflict
- Run and participate in agile ceremonies: backlog grooming, sprint planning, sprint reviews, and incident/RCA reviews, ensuring engineering has what it needs to move fast without losing quality
- Deconstruct ambiguous or large-scale goals into MVPs and iterative delivery plans, adjusting scope based on technical constraints and customer feedback
- Use SQL and product/data instrumentation to self-serve answers, validate hypotheses, and make data-informed prioritization decisions
- Replicate, triage, and help troubleshoot complex product issues alongside engineering, escalating and documenting bugs and workarounds as needed
- Communicate roadmap progress, technical risks, and tradeoffs clearly to both technical and non-technical stakeholders
- Partner with agentic designers, operations, commercial, marketing, and analytic teams to ensure what engineering ships is adopted and drives measurable value
- Advocate for a healthy balance between shipping new capability and managing technical debt, performance, and platform scalability
- This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties
Skills
- Bachelor's Degree in Computer Science, Data Science, Statistics, or a related field (or equivalent professional experience)
- 4–7+ years of product management experience, with meaningful time spent working shoulder-to-shoulder with engineering teams in Agile/Scrum environments
- Proven track record taking products from requirements through SDLC to launch, including scoping MVPs and iterating post-launch
- Experience engaging in real technical tradeoff discussions architecture, APIs, data flows, scalability, and implementation approach
- Hands-on SQL proficiency, comfortable writing queries to self-serve analysis and validate product decisions
- Working understanding of database and data-platform technologies (e.g., Snowflake, cloud data warehouses) and how data model design affects product capability
- Comfort partnering with engineers on API design, system architecture, and technical constraints without needing everything translated into non-technical terms
- Strong ownership mentality with a bias toward action and hands-on execution
- Excellent written and verbal communication; able to move fluidly between engineering detail and executive-level summary
- Comfortable operating in ambiguity, breaking large problems into deliverable increments
- Calm, confident facilitator of trade-off conversations across product, engineering, and business stakeholders
- Attention to detail and a commitment to clear, current documentation
- Healthcare, health-tech, or complex B2B data/SaaS experience
- Population health, value-based care, or interoperability experience
- Experience with healthcare data standards or interoperability frameworks (e.g., FHIR) and regulatory-grade data environments
- Exposure to AI/ML or GenAI-enabled product capabilities, including retrieval-augmented generation, automation, or predictive analytics
- Experience with BI/visualization tools (Tableau, Power BI, Looker, or similar) and large-scale data platforms (Snowflake, Redshift, Databricks, or similar)
- A background in a hard science (math, statistics, computer science, or engineering) or prior experience as a software engineer or data analyst
Benefits
- The chance to work shoulder-to-shoulder with a team of extremely talented, dedicated engineers and product builders.
- Deep, focused exposure to Arcadia's platform architecture, data model, and engineering practices.
- Be part of a mission-driven company transforming healthcare by changing the way patients receive care.
- A flexible, remote-friendly company with personality and heart.
- Employee-driven programs and initiatives for personal and professional development.
- Membership in the Arcadian and Barkadian community.
Company Overview
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