Arcadia

Analytics Engineer

• Author and maintain dbt models and PySpark transformation jobs, replacing ad-hoc Snowflake scripts with governed, version-controlled, tested code
• Design and implement delivery endpoint configurations as code-customer, delivery target (Snowflake, S3), cadence, cohort filters, incremental and full historical refresh methods
• Write production-grade Python and PySpark for data transformation, validation automation, and delivery pipeline components, including customer-specific data models and schema validation logic
• Coordinate and execute monthly RWD deliveries across all active channel partners: delivery job execution, manifest generation and validation, tokenization workflows, and QC
• Own the channel partner data inquiry queue-triage, investigate, resolve, and communicate on data questions and discrepancies; you are the primary research contact for channel partners
• Follow SDLC best practices: author requirements, write test plans, manage releases, and maintain operating documentation in Confluence
• Leverage AI tools (including Claude Code) to accelerate development, automate documentation, generate and verify code, and improve operational throughput

Analytics Engineer – Life Sciences Delivery Operations

Director

• Define and lead analytic strategy across large-scale, high-visibility engagements
• Architect advanced analytic frameworks supporting medical economics, performance measurement, population health, and value-based care initiatives
• Serve as the senior-most analytic escalation point for complex methodological or data integrity questions built in DBT (Spark, SQL) and Amazon Quicksight
• Drive cross-functional alignment across Product, Engineering, Actuarial, Data Science, Finance, and Customer Success
• Ensure technical excellence and rigor in all analytic deliverables; establish quality standards and governance practices
• Identify scalable opportunities for automation, reusable intellectual property, and analytic innovation
• Present insights and strategic recommendations to senior and executive-level stakeholders
• Mentor and develop Lead, Senior, and Data Analysts, elevating analytic capability across the team
• Influence product and roadmap decisions through data-driven thought leadership

Director, Analytics

• Design and own the end-to-end user onboarding experience for new Arcadia customers, from initial platform orientation through sustained adoption milestones
• Develop role-based curricula for distinct user personas: clinical staff, care managers, payer analysts, health system administrators, and executive stakeholders
• Partner with Implementation and Customer Success to align training delivery with go-live timelines and post-launch success metrics
• Build and own Arcadia’s certification programs, including the Arcadia Certified Professional pathway, expanding credentialing across customer and internal audiences
• Coordinate training delivery at customer-facing events including Arcadia’s annual Aggregate conference
• Lead development of a scalable library of asynchronous learning materials: video tutorials, interactive walkthroughs, knowledge base articles, and role-based learning paths
• Own the Learning Management System strategy and administration — platform optimization, content architecture, learner experience, and reporting on engagement and completion
• Apply instructional design best practices to translate complex healthcare data workflows into clear, durable learning content
• Establish version control and content lifecycle governance to keep materials current through rapid product iteration
• Serve as the training and enablement lead embedded in the product release cycle, participating in roadmap reviews and LA-to-GA readiness processes
• Coordinate end-user V&V testing and develop feature enablement content deployed concurrent with or ahead of customer-facing launches
• Develop deep, hands-on functional knowledge of the Arcadia platform across data ingestion, population health analytics, quality reporting, and Arcadia Vista
• Stay current on the value-based care landscape — CMS programs (MSSP, ACO REACH, LEAD, ACCESS, Medicare Advantage), quality reporting programs, and payer/provider dynamics — so training content reflects real customer use cases
• Demonstrate deeply credible understanding of customer clinical and operational workflows, including how users interact with EHRs, care management tools, and other third-party systems alongside Arcadia
• Conduct user research and workflow shadowing to continuously ground training design in real-world context and surface product feedback
• Build and deliver internal enablement programs that keep Arcadia’s customer-facing teams current on platform capabilities, new products, and the evolving VBC landscape
• Develop onboarding programs for new hires in Customer Success, Implementation, and other operational roles, applying the Arcadia Certified Profession designation and ensuring fast time-to-productivity
• Support continuing education across the broader operations organization
• Hire, develop, and manage a small team of instructional designers and/or training specialists (1–3 direct reports, with runway to grow)
• Define and track KPIs across training engagement, completion rates, certification attainment, and correlation to customer adoption and retention
• Build scalable operational processes for training content production, review, approval, and deprecation

Director, Training and Enablement

Product Manager

• Own the end-to-end lifecycle of AI-powered product capabilities from concept through customer adoption and measurable business impact
• Deliver enterprise-grade generative AI products and workflow automation capabilities into production environments at scale
• Work directly with customers to understand operational challenges, validate product direction, and ensure solutions address real-world healthcare workflows
• Translate advances in AI, LLMs, agentic systems, retrieval architectures, and analytics into practical customer solutions
• Partner closely with Engineering, Data Science, Customer Success, and GTM teams to ensure products are successfully adopted and deliver measurable value
• Drive roadmap decisions using customer needs, technical realities, business objectives, and market opportunities
• Own product success metrics tied to customer adoption, revenue growth, operational efficiency, and business outcomes
• Act as the accountable owner for shipping high-quality products on a predictable cadence
• Mentor and elevate product management practices across the broader Product organization

Principal Product Manager, AI Product

Analyst

• Serve as the lead analytics strategist for at least one analytics engine
• Develop and implement innovative analytic methodologies through DBT engines
• Partner closely with product and engineering to deliver Arcadia’s analytics roadmap and contribute to product innovation
• Lead cross-functional analytic initiatives
• Act as an internal and external thought leader—representing Arcadia’s analytic capabilities at customer meetings, industry conferences, and publications
• Oversee analytic quality standards and ensure analytic rigor across customer engagements
• Guide, mentor, and develop Analysts to build organizational capacity and excellence
• Identify opportunities for automation, scalability, and reusability in analytic delivery

Analytics Engineer – Life Sciences Delivery Operations

Director, Analytics

Director, Training and Enablement

Principal Product Manager, AI Product

Lead Analyst, Analytics