Jobs at IntegriChain

Designs and maintains scalable data pipelines, warehouse models, data marts, and dimensional structures using dbt, Python, SQL, and ELT tools. Implements slowly changing dimensions, integrates MDM systems, ensures data quality across life sciences and healthcare datasets, and collaborates with analysts, data scientists, and engineers to deliver trusted datasets for analytics and decision-making.

The Product Analyst translates business needs into requirements, user stories, workflows, and technical specifications. They support agile delivery, backlog refinement, sprint planning, QA clarification, defect triage, documentation, release support, and stakeholder collaboration. The role also applies AI and automation to improve product development and business processes while developing expertise in pharmaceutical and life sciences data and regulatory requirements.

Owns QA strategy and automation architecture across application, data, ETL/ELT, API, UI, BDD, and performance testing. Builds Python-based frameworks and data validation libraries using SQL, pandas, and PySpark; develops Playwright and JMeter test suites; analyzes failures and performance results; and ensures coverage of biopharma requirements and regulatory risks. The role partners cross-functionally, communicates quality status, mentors junior engineers, supports incident response, evaluates AI testing tools, and drives team-level quality improvements.

Owns QA strategy and automation architecture across functional, UI, API, BDD, performance, and data validation testing. Builds Python and Playwright frameworks, develops complex SQL validation, analyzes defects and performance results, manages quality risks, and partners with engineering and product teams. The role also incorporates AI-assisted testing, biopharma requirements, regulatory considerations, incident response, quality reporting, and mentoring of junior QA engineers.

Coordinates Engineering Excellence initiatives involving technical debt, AI-SDLC adoption, developer experience, modernization, quality, and tooling. Maintains milestones, dependencies, risks, decisions, actions, status, and completion criteria. Partners with Engineering, Product Delivery, initiative owners, vendors, and cross-functional teams to track execution, escalate issues, support reporting, and transition completed work to operational owners.

Provides practical legal advice across commercial, product, privacy, data security, regulatory, and corporate matters. Drafts and negotiates SaaS agreements, MSAs, SOWs, NDAs, and DPAs; supports incident response, data governance, AI and analytics initiatives, corporate policies, audits, investigations, and dispute resolution. Requires a U.S. law degree, bar admission, and at least two years of relevant legal experience.

Designs, develops, and owns BI dashboards, visualizations, data models, calculations, and reporting solutions primarily in TIBCO Spotfire, with Power BI support. Oversees BI architecture, standards, version control, deployments, and data quality while partnering with engineering and product teams. Mentors developers, guides design decisions, and independently manages deliverables in a multi-tenant life sciences data platform.

Own the strategy, roadmap, requirements, and delivery of enterprise data management and data product capabilities. Partner with customers, engineering, data, analytics, QA, and business teams to define data integration, quality, governance, reference data, and analytics-ready solutions. Lead discovery, prioritization, Agile delivery, UAT, release readiness, and stakeholder alignment while supporting Life Sciences and Net Revenue data use cases.

Analyzes and certifies conversational AI queries and answers against source data. Improves prompts, semantic layers, taxonomies, metadata, and data models while partnering with Product, Data Science, Engineering, QA, and business owners. Documents business logic, writes technical requirements, identifies recurring quality issues, supports roadmap planning, and creates accuracy test cases and product communications.

Analyze and certify conversational AI queries and answers against source data. Improve prompts, semantic layers, taxonomies, metadata, and labeling so Prism accurately interprets life sciences data. Collaborate with Product Management, Data Science, Engineering, QA, and business owners to identify data-quality issues, define technical requirements, document business logic, create accuracy test cases, and inform the product roadmap.

Analyzes and certifies AI-generated answers for Prism, a conversational analytics platform for life sciences data. Reviews prompts and queries, validates results against source data, improves semantic layers and data models, identifies recurring quality issues, documents business logic, writes technical requirements, and collaborates with Product Management, Data Science, Engineering, QA, and business stakeholders.

Supports daily operational processes by validating and reconciling data, investigating discrepancies, resolving issues, maintaining documentation, participating in customer and internal meetings, conducting quality reviews, supporting onboarding and system enhancements, and identifying workflow improvements. The role collaborates across teams, manages multiple priorities, and develops knowledge across operational functions.

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.

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.

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.

The Senior Database Engineer will architect and build cloud-native database solutions, focusing on multi-engine platforms, automation, and data pipelines for analytics in a DevOps environment.

The Senior Manager leads advisory engagements focused on government pricing and compliance for life sciences manufacturers, managing client relationships, team development, and business growth initiatives.