Senior Manager/Associate Director, Enterprise Integration & Data Engineering

About the role

The position will help lead the design, implementation, and ongoing operation of Xenon's enterprise integration, middleware, and data engineering capabilities.

This individual will partner with leaders across IT, Commercial, Medical, Finance, Supply Chain, Clinical Development, Research, and Quality, and external partners to establish scalable, secure, and compliant data flows across Xenon's enterprise application and analytics ecosystem.

This role will be a key enabler of Xenon's growth and commercialization readiness, helping connect core platforms such as ERP, CRM, data warehouse, master data management, clinical and research systems, quality systems, and external partner networks.

Responsibilities

• Manage the implementation and maturation of Xenon’s enterprise integration and data engineering capabilities, including middleware/iPaaS, API-based integration, event/message-based integration, file-based ingestion, and ELT/data pipeline patterns.
• Partner with IT and business leaders to define and maintain an enterprise integration roadmap aligned to ERP, Commercial, Medical, Clinical, Research, Quality, MDM, and data warehouse priorities.
• In consultation with assigned stakeholders, evaluate, select, implement, and govern integration and ELT platforms such as Informatica/IICS, Boomi, MuleSoft, Azure Integration Services, Fivetran, dbt, Snowflake, or similar technologies.
• Design and oversee integrations and data pipelines between internal and external systems including ERP, Veeva CRM/Vault, commercial data providers, patient services platforms, EDC/clinical systems, safety systems, LIMS, eQMS, Dotmatics/ELN, HRIS/HCM, CLM, Concur, Adaptive Planning, banks, CDMOs/CMOs, 3PLs, and other partners.
• Establish reusable integration standards, data contracts, interface specifications, transformation patterns, naming conventions, monitoring/alerting practices, runbooks, and documentation standards.
• Collaborate with Xenon’s Architecture Review Board to ensure system and data-flow designs are consistent with company standards for security, infrastructure, data architecture, privacy, and operational supportability.
• Partner with business data owners and data stewards to establish and maintain effective data governance including master data management, data quality, metadata, lineage, cataloging, access controls, and common data definitions across domains.
• Provide technical leadership for data models, ELT transformations, curated data layers, and “gold” datasets that enable trusted analytics, self-service reporting, AI/ML, and operational decision-making.
• Ensure integration and data engineering solutions are designed with appropriate controls for GxP, SOX, HIPAA, GDPR, 21 CFR Part 11, auditability, data integrity, and role-based access, as applicable.
• Provide technical guidance and support for Computer Systems Assurance (CSA), SDLC, regulatory/risk assessment, sing, validation, and change control deliverables for regulated systems and data flows.
• Monitor integration and pipeline performance, manage operational issues to resolution, drive root cause analysis, and lead continuous improvement of platform reliability, scalability, cost efficiency, and support processes.
• Translate business requirements into practical integration architecture, technical design, delivery plans, s strategies, and sustainable operating procedures.
• Lead, mentor, or coordinate internal and external data engineers, integration developers, analysts, and vendor resources as the capability grows.
• Other duties as assigned.

Qualifications

• A bachelor’s degree or advanced degree in Information Systems, Computer Science, Data Engineering, Engineering, Business Administration, with a minimum of 7-10 years’ prior experience with enterprise integration, data engineering, middleware, cloud data platform, analytics platform, or enterprise applications experience; Experience in a corporate IT environment is preferred.
• Related experience with service and/or solution providers is also relevant.
• Experience in Life Sciences, pharmaceutical, biotechnology, healthcare, or another regulated industry is preferred.
• Direct pharma/biotech experience is valuable but not required if the candidate demonstrates strong enterprise integration, data engineering, cloud data platform.
• Proven experience designing and delivering enterprise integrations, API integrations, batch/file-based interfaces, ELT/ETL pipelines, data orchestration, data quality checks, monitoring, and production support processes.
• Hands-on experience with one or more integration or data platforms such as Informatica/IICS, Boomi, MuleSoft, Azure Integration Services, Fivetran, dbt, Snowflake, Databricks, or similar technologies.
• Strong understanding of cloud data warehouse and analytics architectures, including source-to-target mapping, transformation logic, curated data layers, semantic models, and BI/analytics consumption patterns.
• Experience with master data management, data governance, data stewardship, metadata, lineage, data cataloging, and data quality practices; MDM platform implementation experience is a plus.
• Experience integrating enterprise SaaS platforms and life-sciences systems such as ERP (Oracle Fusion or SAP S/4HANA), Veeva, Workday/HCM, CLM, Concur, Adaptive Planning, ServiceNow, eQMS, LIMS, EDC, ELN, clinical data repositories, or commercial data platforms.
• Experience with Computer Systems Assurance, GxP systems validation, SDLC, 21 CFR Part 11, HIPAA, GDPR, SOX, audit trails, data integrity, and role-based access controls is preferred.
• Ability to balance strategic architecture with pragmatic delivery in a growing, fast-paced organization; comfortable building capability, standards, and operating models from the ground up.
• Experience managing external consultants, implementation partners, managed service providers, and/or application service providers.
• Excellent communication and coordination skills across business, technical, Quality, Security, and vendor teams.
• Ability to manage multiple priorities, lead through ambiguity, and drive decisions with appropriate documentation and stakeholder alignment.
• Strong problem-solving skills, attention to detail, and ability to simplify complex technical concepts for non-technical audiences.
• Project management experience; Agile, PMP, ITIL, cloud, data, or integration platform certifications are a plus.