SENIOR DIRECTOR

• Define and implement enterprise-wide Data Strategy, Analytics Strategy, and AI Strategy aligned with business objectives.
• Lead the setup and maturity of the Data & Analytics CoE, ensuring scalability, agility, and innovation.

• Design and manage scalable, secure, and high-performance Data Lake environments using Azure Data Services.
• Enable seamless integration of structured and unstructured data sources for analytics and data science use cases.

• Establish and oversee enterprise-wide data management practices including data lifecycle, metadata, and master data management.
• Implement robust data governance frameworks and ensure compliance with regulatory standards (e.g., GxP, GDPR).
• Drive initiatives to improve data quality, consistency, and accessibility across systems.

• Architect and enable advanced analytics platforms supporting BI, predictive modeling, and data science.
• Collaborate with data owners and analysts to operationalize analytics and insights.
• Promote data-driven decision-making across business units.

• Lead the adoption and integration of AI/ML and Generative AI (GenAI) technologies to enhance business capabilities.
• Define governance and ethical frameworks for responsible AI usage.

• Drive enterprise-wide Robotic Process Automation (RPA) initiatives to streamline operations and improve efficiency.
• Identify opportunities for automation and AI-driven transformation across the enterprise.

• Provide architectural oversight for CRM platforms (e.g., Salesforce, Veeva CRM) and ensure seamless data integration.
• Collaborate with finance teams to align data architecture with financial accounting systems (e.g., SAP).
• Support and guide web design initiatives and ensure alignment with enterprise data strategies.
• Lead and support .NET application development efforts, ensuring integration with data platforms and business logic.

• Bachelor's or Master's degree in in Computer Science or Engineering OR equivalent years of work experience
• 20+ years of proven experience in architecting and implementing enterprise data architecture, data-lake, Data warehouse platforms, Master data Management, and analytics solutions
• Proven experience in establishing and leading Global Data & Analytics CoEs.
• Demonstrated leadership in Data, Analytics, and AI strategy.
• Strong knowledge of industry best practices around data architecture in both cloud-based and on-premises data solutions
• Exceptional understanding of building solution architectures, design patterns, network topology and data security frameworks
• Proven ability to manage stakeholder expectations effectively.
• Excellent verbal and written English skills
• Proven experience in life sciences or other regulated industries
• Excellent problem solving and data modelling skills (logical, physical, sematic and integration models)
• Familiarity with RPA tools (e.g., UiPath, Automation Anywhere).
• Experience with CRM systems, financial accounting platforms, web design, and .NET application development.
• Prior experience working with Middleware platforms like Mulesoft
• Experience with stream processing tools (Spark structured streaming, Azure Stream Analytics, Storm, etc.)
• Familiarity with Agile / Scrum methodologies

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