Top Tech Jobs & Startup Jobs

Provides strategic leadership for insights, analytics, forecasting, and AI-enabled decision support. Develops performance metrics, dashboards, forecasting models, scenarios, and actionable recommendations for senior stakeholders. Evaluates and scales digital and AI tools, ensures responsible data governance, coaches teams, manages external partners, and drives cross-functional adoption of evidence-based decision-making and continuous improvement.

Develop machine learning systems for digital twins, clinical outcome prediction, biomarker discovery, patient stratification, and multimodal biomedical data integration. Build and evaluate foundation models using clinical, imaging, genomic, proteomic, and real-world data. Apply causal inference, statistical modeling, and rigorous validation while collaborating with clinical, translational, statistical, and engineering teams. Ensure regulatory, ethical, privacy, fairness, and model-risk compliance, and contribute to scientific publications and strategic partnerships.

Leads HR strategy for a US biopharmaceuticals commercial organization, advising senior leaders and partnering with HR centers of excellence. Responsibilities include workforce planning, talent reviews, succession planning, leadership development, organizational design, change management, employee experience, people analytics, budgeting, and FTE planning. The role also drives digital innovation, AI, automation, and continuous improvement across HR processes.

Design, deploy, and operate production-grade Generative AI agents and GenAI workflows for clinical trial optimization. Build cloud-native infrastructure, CI/CD, monitoring, evaluation, and scaling using AWS, containerization, CDK, and LLM frameworks. Collaborate with AI engineers and data scientists to transition research to reliable, explainable, and cost-efficient production systems.

Lead AstraZeneca's CTI function to deliver strategic, operational, and tactical intelligence. Define CTI strategy, adversary prioritization, attack-path modeling, and MTTI metrics. Integrate dark-web/closed-source collection into TIP/SIEM/EDR, support Vulnerability Management, Detection Engineering, and Incident Response, produce executive reporting, run purple-team/emulation validations, manage tooling/automation, engage external partners, and build/grow a high-performing CTI analyst team.

Leads an enterprise cyber exposure management function covering vulnerability management, application security, penetration testing, attack surface visibility, software supply-chain risk, and AI security. Develops risk-based remediation strategies, governs SLAs and risk acceptance, oversees offensive testing, reports exposure metrics to executives and boards, and manages a distributed multidisciplinary leadership team. Owns budgets, tooling, talent development, and multi-year capability uplift across regulated technology, cloud, manufacturing, and OT environments.

Architect and operate a global AWS-based Generative AI/LLM platform: design scalable GenAI infrastructure, implement IaC and CI/CD (CDK, Projen, Argo CD), manage k8s/ECS workflows, establish governance, perform cost/performance analyses, and support ML/DS lifecycle in a regulated life-sciences environment.