Top Tech Jobs & Startup Jobs

Design, develop, automate, and maintain Power BI supply chain dashboards by extracting and transforming data from MRP/enterprise sources. Perform ETL, data quality checks, reporting, stakeholder engagement, project coordination, and provide insights to improve supply chain visibility and operations.

Manages general ledger and accounting-to-reporting activities across JCAP markets, ensuring accurate period close, reconciliations, reporting, US GAAP and local compliance. Leads internal controls, SOX requirements, audits, outsourced BPO activities, process improvement, RPA initiatives, global projects, and finance transformation. Supervises diverse teams, partners with local and virtual finance organizations, monitors KPIs and SLAs, and drives operational accuracy, efficiency, and continuous improvement.

Supports digital portfolio strategy, prioritization, business cases, stakeholder alignment, value realization, roadmap communications, and standardized portfolio processes across sourcing and workplace services. The role maintains initiative data, develops technology-release content, monitors benefits, identifies improvement opportunities, and supports digital-acumen programs. Requires cross-functional collaboration with IT, leadership, communications, and business stakeholders to align digital initiatives with enterprise objectives.

Owns sample management workflows across pharmaceutical development modalities, serving as a technical SME for Appian, Benchling, LIMS, and related data systems. The role gathers requirements, defines data capture standards, develops scientific dashboards and exports, supports digital strategy, mentors team members, and drives adoption of digital tools across drug substance, drug product, analytical, biologics, small-molecule, and vaccine development.

Lead Canadian learning and development strategy, including enterprise upskilling, sales and marketing training, product and disease education, leadership development, and capability building. Partner with Medical, Marketing, Sales, brand, and launch teams to create compliant, impactful learning programs. Manage and mentor the local L&D team, measure program effectiveness, foster continuous learning, and align employee development with commercial priorities.

Plans and optimizes project schedules, engineering capacity, resource allocation, and project dependencies across a large capital investment portfolio. Provides management reporting on utilization, KPIs, and project status; identifies resource conflicts and bottlenecks; supports project managers and stakeholders with practical solutions; and improves planning methodologies and processes.

Leads Veeva CRM release engineering across global environments, owning release architecture, governance, GitHub source control, CI/CD pipelines, deployment automation, configuration migrations, and environment lifecycles. Oversees deployment planning, cutovers, rollback, incident resolution, compliance, and platform optimization. Partners with cross-functional stakeholders on CRM migration roadmaps and modernization, mentors technical teams, and evaluates AI-enabled DevOps and automation solutions.

Support global HR data privacy and governance for HR systems. Advise on GDPR/privacy approvals, create/update privacy and AI assessment forms, review data requests, support SOX controls, assess risks, consult with HR/Legal/Privacy teams, and drive privacy-compliant HR system changes across a global matrix.

Lead site learning strategy and a team of L&D specialists to design, deliver, and localize learning solutions aligned with business priorities and GMP compliance. Partner with site leadership and Global L&D, administer learning systems/QMS training standards, drive digitalization of L&D processes, support audits, and deliver or facilitate training to close performance gaps.

Conduct computational oncology research using statistics, machine learning, AI, and multi-omics data. Analyze NGS, functional genomics, CRISPR, and single-cell datasets; nominate targets, biomarkers, and drug combinations; integrate biological evidence; apply foundation models and LLM-based tools; and collaborate with experimental, engineering, and program teams to support reproducible discovery research.