Top Tech Jobs & Startup Jobs

Own product analytics for Retail Media and Marketplace, partnering with Product Managers and stakeholders to drive data-informed decisions. Define KPIs, tracking, dashboards, experimentation, and A/B testing practices; conduct deep-dive analyses; identify optimization opportunities; and communicate actionable recommendations. The role also contributes to analytics standards, roadmap prioritization, and AI-enabled analytical workflows across digital product teams.

Partner with senior leaders on commercial decisions, profitability, unit economics, budgeting, forecasting, and long-term planning. Build business cases and scenario models, assess pricing and growth investments, identify risks and opportunities, and translate financial data into management recommendations. The role also drives improvements in planning through data, automation, and AI while owning financial steering for a country, business model, or comparable business area.

Coordinate Group-wide financial planning, forecasting, reporting, and performance management. Partner with HR and Pharma Operations leaders to analyze financial performance, personnel costs, operational KPIs, risks, and opportunities. Build scenarios, business cases, variance analyses, and management presentations while improving FP&A processes through Pigment, automation, and AI-driven solutions.

Coordinate group-wide financial planning, forecasting, reporting, and performance-management cycles. Partner with Human Resources and Pharma Operations leaders by analyzing financial performance, operational KPIs, cost drivers, risks, and opportunities. Develop forecasts, variance analyses, management presentations, scenario models, business cases, and financial-impact assessments. Improve FP&A processes through Pigment, automation, and AI, while communicating recommendations to senior financial and non-financial stakeholders.

Leads the IT Governance function and a team of 10 across portfolio management, performance insights, and financial analytics. Designs governance operating models, standards, KPIs, reporting, and decision forums for transparent IT investment and delivery management. Drives governance automation, data quality, maturity improvements, and consistent adoption across IT domains. Provides consolidated portfolio, operational, and financial insights to CIO, executive, and board-level stakeholders.

Owns the Finance and Procurement data product portfolio, defining strategy, roadmaps, requirements, priorities, success metrics, and stakeholder alignment. Partners with Finance, Controlling, Procurement, Data Engineering, Analytics, and DataOps teams to deliver trusted, scalable products for financial reporting, cost transparency, procurement performance, KPI consistency, and data-driven decision-making. Monitors adoption and business impact while improving data quality, governance, and reporting reliability.

Build and own scalable machine learning and generative AI systems for customer-facing and operational healthcare use cases. Develop end-to-end pipelines for training, evaluation, deployment, monitoring, and continuous improvement. Collaborate with product, engineering, data, and business teams; define AI technical roadmaps; and ensure governance, model quality, versioning, observability, and compliance in a regulated environment.

Build and own scalable machine learning and generative AI systems for customer-facing and operational healthcare use cases. Develop production pipelines for training, evaluation, deployment, monitoring, and continuous improvement. Collaborate with product, engineering, data, and business teams; define AI technical roadmaps; and uphold governance, model quality, versioning, observability, and compliance practices in a regulated environment.

Build and maintain Azure platform infrastructure for Data and AI workloads. Operate Azure Databricks and Kubernetes environments, implement Terraform-based infrastructure automation, support GitOps and CI/CD delivery, monitor platform health, troubleshoot issues, and develop self-service capabilities. Collaborate with Platform, Data, AI, MLOps, and Security teams on architecture, documentation, and continuous improvement.

Manage and enhance data governance practices across the organization, including data classification, quality, lineage, access management, ownership, and catalog enrichment. Identify automation opportunities, improve governance workflows, and partner with data engineers, AI engineers, business stakeholders, and Governance, Risk & Compliance teams. Strengthen auditability and transparency while helping embed practical governance solutions into daily operations.