Top Tech Jobs & Startup Jobs

Lead governance and operational execution for AstraZeneca’s automated Beijing Discovery Center build. Own milestone tracking, CAPEX/OPEX models, vendor management, operating cadence, and leadership communications across automation, data, engineering, and facilities workstreams. Support site selection, ecosystem partnerships, compliance coordination, and resolution of cross-functional blockers. The role requires structured problem-solving, executive communication, financial literacy, hands-on process building, Mandarin fluency, and full-time onsite work in Beijing.

Leads Asia Pacific Operations IT strategy, digital transformation, and adoption of data, automation, AI, and enterprise platforms. Partners with senior regional and global stakeholders to govern roadmaps, investments, portfolios, delivery, cybersecurity, compliance, operational stability, and benefits realization across regulated biopharmaceutical manufacturing and supply chain environments. Builds digitally capable teams and drives responsible AI adoption, change management, standardization, and measurable business value across regional markets and sites.

Leads AstraZeneca’s Turkey IT strategy and serves as the country’s senior technology leader and primary business contact. Owns technology roadmaps, products, platforms, transformation portfolios, AI adoption, architecture, service reliability, cybersecurity, compliance, budgets, vendors, and business continuity. Partners with global, regional, and commercial stakeholders to deliver measurable business value, improve adoption, and develop a high-performing IT team in a regulated, multinational environment.

Lead a district sales team to achieve forecasts and call targets, establish territory goals, address performance barriers, evaluate progress, coach representatives, develop future managers, and ensure compliance with healthcare professional interactions and sample distribution regulations.

Lead a district sales team to meet or exceed forecasts and call execution targets. Set territory goals, monitor performance, remove obstacles, coach representatives, develop future leaders, and ensure compliance with regulations governing healthcare professional interactions and sample distribution.

Leads Alexion Japan’s CRM platform strategy, roadmap, implementation, operations, integrations, releases, production support, vendor management, and continuous improvement. Partners with Commercial, Medical, IT, governance, and external stakeholders to translate business needs into compliant technical solutions. Oversees Veeva CRM, Salesforce, and Veeva Vault capabilities while ensuring reliability, data quality, security, privacy, quality, user adoption, and alignment with global standards.

Lead a district sales team to meet or exceed forecasts and call execution targets. Set territory goals, monitor performance, remove obstacles, coach representatives, and develop talent for future District Manager roles. Ensure compliance with regulations governing healthcare-professional interactions, product sample distribution, and related activities. The role also requires financial management, strong communication, and collaboration across business functions.

Serves as the IT partner for pharmaceutical R&D teams across bioinformatics, data science, and development science. Translates scientific needs into IT demands, roadmaps, technology stacks, business cases, budgets, and investment priorities. Oversees multiple IT projects, coordinates infrastructure, data, security, application, vendor, and business stakeholders, and supports governance, risk management, adoption, and change management.

Supports IT financial management, including budgeting, forecasting, variance analysis, and Cloud FinOps. Manages IT procurement, purchase orders, invoices, and vendor performance. Supports PMO operations and portfolio governance through project intake, prioritization, reporting, and follow-up tracking. Promotes IT and AI tool adoption across R&D by organizing demonstrations and training, gathering user feedback, and coordinating stakeholders across IT, finance, business, vendors, and scientific communities.

Design and deliver enterprise-grade AI solutions using LLMs, RAG, agentic and multimodal approaches. Build reusable AI Skills, optimize models (SFT, RLHF, quantization), integrate with enterprise systems, and collaborate with architects, engineers and stakeholders to productionize secure, scalable AI on cloud/hybrid platforms while promoting governance and responsible AI.