Jobs at IntegriChain

Provides practical legal guidance on commercial, product, regulatory, privacy, and corporate matters. Drafts and negotiates NDAs, SaaS agreements, MSAs, SOWs, DPAs, and other contracts; advises on compliance, data security, incident response, AI, analytics, governance, disputes, audits, and investigations. Partners with Sales, Product, Engineering, Finance, and other teams while reporting to the SVP of Legal.

Analyzes and manages pharmaceutical gross-to-net close and forecasting processes, including journal entries, reconciliations, true-ups, variance analysis, and customer reporting. Maintains GTN calculations, troubleshoots data issues, supports SOC1 controls and customer SLAs, communicates with customer stakeholders, collaborates cross-functionally, and helps onboard analysts. Requires accounting and finance knowledge, pharma supply-chain understanding, strong analytical skills, and proficiency with Excel and financial systems.

Leads complex, cross-functional programs across Scrum-based engineering teams. Facilitates Scrum events, coordinates integrated planning, manages dependencies, risks, capacity, milestones, and stakeholder alignment, and provides leadership visibility into program health. Coaches teams on agile practices, uses delivery metrics to improve predictability, and drives resolution of cross-team issues and trade-offs across iterative and deadline-driven initiatives.

Owns data-centric QA strategy and automation for ETL/ELT pipelines, data warehouses, applications, and APIs. Builds Python, SQL, BDD, Playwright, and JMeter frameworks; validates Snowflake and PostgreSQL data layers; designs reconciliation, data quality, performance, and schema-evolution testing; investigates root causes; reports quality risks; and mentors junior engineers. The role also integrates AI-assisted testing, supports Agile delivery, and incorporates biopharma client and regulatory requirements.

Own the multi-quarter roadmap and strategy for Channel Data products. Analyze complex, high-volume data, lead customer discovery, prioritize initiatives, define requirements using AI tools, manage risks and dependencies, oversee release readiness, and communicate product decisions to senior leaders. Partner closely with engineering, data science, managed services, customers, and delivery teams to drive product outcomes and planning.

Designs, develops, and owns business intelligence dashboards, visualizations, analyses, and reporting solutions, primarily in TIBCO Spotfire and also Power BI. Responsibilities include data modeling, calculations, performance tuning, deployment workflows through GitHub, data quality collaboration, BI standards, risk identification, mentoring, and independent decision-making across a multi-tenant Life Sciences data platform.

Owns a portfolio of enterprise life sciences customers throughout implementation and steady-state operations. Responsibilities include resolving complex data issues, leading business reviews, analyzing performance, managing projects and change requests, improving processes, increasing product adoption, mitigating churn, and coordinating with technical teams. The role also develops customer documentation and training, delivers analytics and reporting enhancements, and coaches junior customer engagement team members.

Own the multi-quarter strategy and roadmap for Provider Rebate Management software. Lead customer discovery, process mapping, prioritization, business cases, requirements, and Agile delivery with Engineering and QA. Coordinate releases across customer-facing teams, identify AI and LLM automation opportunities, represent the product with customers, and mentor business analysts. The role requires deep understanding of US pharmaceutical market access, healthcare systems, provider rebates, and related commercial processes.

Analyze and certify conversational AI queries and answers against source data. Improve prompts, semantic layers, taxonomies, metadata, and labeling in collaboration with Product Management, Data Science, Engineering, and QA. Investigate data relationships and recurring accuracy issues, write technical requirements, document business logic, support testing and release communications, and provide data-quality input to the product roadmap.

Analyzes and certifies Prism’s AI-generated answers against source data, improves prompts and semantic layers, identifies recurring quality issues, and documents business logic. Partners with Product Management, Data Science, Engineering, QA, and business owners to define requirements, create accuracy test cases, improve data structures, influence the roadmap, and communicate product updates.

Analyzes and certifies conversational AI queries and answers against source data. Improves prompts, semantic layers, taxonomies, metadata, and data quality while partnering with Product, Data Science, Engineering, QA, and business owners. Documents business logic, writes technical requirements, develops accuracy test cases, contributes to roadmap prioritization, and communicates product updates.

Leads advisory engagements for life sciences manufacturers involving government pricing, reimbursement, contracting, compliance, and market access. Provides strategic guidance across Medicaid, Medicare, 340B, FSS, and related programs; oversees quantitative modeling, client deliverables, project financials, business development, thought leadership, and team development. Builds executive relationships, supports pre-launch pricing frameworks, manages portfolios of complex projects, and drives practice growth.

Build and maintain Python-based automations, integrations, scheduled jobs, APIs, and data pipelines for operations teams. Improve processes before automating them, embed LLMs and AI agents into workflows, and connect internal systems, databases, and platforms. Measure time savings and error reduction, monitor production solutions, troubleshoot issues, document workflows, train users, and collaborate with DevOps and SRE on deployment and reliability.

The Manager, Government Pricing oversees pricing calculations for government programs, manages data preparation, validation, and ensures compliance with regulations while interacting with clients and the management team.

Build, support, and optimize data pipelines to ingest source data into Reltio and extract mastered data to downstream platforms (Snowflake). Configure Reltio entities, match/merge, survivorship, relationships, and tenant promotion. Implement ingestion patterns (batch/API), reconciliation checks, profiling, validation, and troubleshooting. Collaborate with engineering, MDM, QA, and business teams and produce documentation and runbooks for production support.

Lead product management for MDM and Net Revenue data products in Life Sciences: own roadmap, backlog, requirements, sprint execution, release planning, stakeholder alignment, data integration, MDM mastering, QA/UAT, and documentation to support chargebacks, government pricing, contracts, claims, and analytics.

Lead enterprise data integration and Snowflake platform engineering. Build and optimize Snowflake data models and ELT pipelines (dbt/Python), enable MDM (Reltio) integrations, implement data quality, lineage, and cost/performance optimizations, and partner cross-functionally to deliver AI-ready and analytics data products.

Partner with product, engineering, and stakeholders to elicit and document business and system requirements, translate needs into user stories and technical specs, support Agile delivery (backlog refinement, sprint planning), assist QA and defect triage, maintain product documentation, and develop domain expertise in pharma/life sciences to drive automation and product improvements.

Supports network and infrastructure administration, monitoring, troubleshooting, and performance. Responsibilities include Azure networking, Cisco Meraki devices, Microsoft 365, Active Directory, Entra ID, Intune, servers, endpoints, cloud services, technical support, onboarding, security controls, vulnerability remediation, documentation, and compliance activities. The hybrid role requires regular Philadelphia office attendance and occasional data center visits.

Design, build, and maintain interactive dashboards and reporting solutions (primarily in TIBCO Spotfire, with Power BI support). Own end-to-end BI delivery including data modeling, calculations, deployment via GitHub, and cross-team collaboration. Mentor team members, define BI standards, and operate independently to resolve data and quality issues.