Jobs at IntegriChain

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.

Build and own IntegriChain’s legal operations function, including CLM and GRC platform selection, implementation, administration, and adoption. Design contract, policy, privacy, compliance, and training processes; create playbooks and reporting dashboards; support DSAR tracking, data mapping, customer diligence, contract administration, corporate records, outside counsel coordination, and cross-functional projects. Establish legal operations metrics and scalable systems for a growing life sciences technology company.

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.

Support daily trade operations by executing and validating operational tasks, reconciling data, investigating discrepancies, collaborating with internal and external teams, maintaining documentation, onboarding customers, and driving process improvements to increase accuracy and efficiency.

The Trade Operations Analyst manages chargeback and rebate operations, ensuring accurate processing, issue resolution, and continuous improvement while supporting client onboarding and system enhancements.

Own the requirements-to-delivery cycle for a data warehouse and analytics platform. Lead stakeholder sessions, investigate data issues across pipelines, document current-state behavior, write user stories and acceptance criteria, define engineer-ready specifications, prioritize enhancements, and validate delivered work. The role requires strong SQL, data warehousing, data modeling, analytics engineering, independent workstream ownership, and collaboration with technical and non-technical stakeholders.

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.

Manage a portfolio of enterprise life sciences customers using IntegriChain's SaaS platform. Lead issue resolution, quarterly business reviews, data analysis, process improvement, reporting delivery, and cross-functional coordination. Mentor junior team members, drive customer adoption, and develop action plans to mitigate churn while ensuring SLA adherence.

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.

Owns QA strategy and automation architecture across functional, end-to-end, BDD, performance, and data validation testing. Builds Python frameworks, Playwright and JMeter suites, and PostgreSQL/Snowflake validation pipelines. Partners with development, product, and domain stakeholders to identify risks, diagnose complex failures, support incident response, and ensure regulatory and client requirements are covered. Mentors junior engineers, evaluates AI-powered testing tools, communicates quality metrics, and drives team-wide quality outcomes in an Agile environment.